FastSwaps

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Co-Founder

Fastlaunchr

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The Data Swiss

We build robust data & ML platforms in the cloud so you can have any kind of insight within days, not months.

Founder & Principal Data Solutions Architect

Telia

Working on releasing ML platform functionalities and at the same time provide support and create documentation so application teams can leverage platform for doing their data analysis processes. Some of the projects:

- Extending, supporting and developing new functionalities of our ML platforms. Working with CFn, Service Catalog, SageMaker mostly, among many other services.
- Architect and define usage of Sagemaker Feature Store for tenants.
- Work related to operations in ML environments.

Stack: 

- Github actions as CI/CD + OIDC.
- HashiCorp Vault for credential management.
- Python and Bash.
- AWS.
- Airflow. For orchestrating and scheduling any workflow at scale.
- CloudFormation (CFn).

MLOps Engineer

Working on releasing Data Foundation and ML platform functionalities and at the same time provide support and create documentation so application teams can leverage platform for doing their data analysis processes. Some of the projects:

- Enabling serverless ingestion from on-prem to different business layers (s3 and redshift) using SDLF from AWS.
- Developing and implementing an abstract and centralized solution to define datasets that are ingested/residing within our cloud platform and handle permissions through Lake Formation.
- Implementing solutions according to the General Data Protection Regulation (GDPR): RTE tasks, purposed-based access, etc.
- Leading the organization adoption of Hashicorp Vault for our GitHub repositories to get AWS secrets and GitHub tokens. As part of this, we are decommissioning our old solution and I developed a framework in Python that acts as a IaC for Hashicorp vault components (it creates engines, roles, tokens, policies, etc).

Stack: 

- Github actions as CI/CD.
- HashiCorp Vault for credential management.
- Python.
- AWS. Wide variety of services: S3, Lake Formation, Glue, Lambda, Step Functions, SQS, SNS, KMS, Athena, Cloudtrail, IAM, SSM, Redshift, EventBridge, DynamoDB, etc. Worth mentioning we are using for one of our projects, Serverless Datalake Framework (SDLF) for ingesting data from on-premises up to the business layers.
- Airflow. For orchestrating and scheduling any workflow at scale.
- Jenkins. For deploying to our on-premise ecosystem.
- Terraform. For keeping all our IaC and managing infrastructure state and changelog.
- CloudFormation (CFn).

Senior Data Platform Engineer

Factmata

Acquired by PR giant Cision.

1) In charge of running infrastructure cost optimizations. Reduced over 70% in 5 months.
2)  Guide the team by setting technical directions, architectural governance, design patterns, and practices.
3) Architect and build highly scalable solutions for diversified and complex data flows.
4) Active role in interviewing candidates for technical positions (Back-end/Front-end and Data Engineer).
5) Create 'shardflow ecosystem'. This solution allows our RDS databases (or shardflows) to scale out/in and up/down and provides an API for creating, migrating, resetting and deleting shardflows.
6) Work with Kubeflow in k8s for running our ML pipelines and generate clusters and insights for our SaaS platform.
7) Implement a serveless ELT from different data providers (twitter, reddit API, etc) to ingest these data into our different data lake layers using Lambdas, Event Bridge, S3, Glue and Athena.

CTO & Data Solutions Architect

Bluetab Solutions

Projects I have developed [D] and/or contributed [C] within /bluetab:

1) [D] Migration to AWS of an algorithm developed by UC3M that finds association between power plants and meter boxes within the Spanish territory. Big Data project using several Amazon services such as EMR, Batch, Lambda, SQS, Cloud Formation, Athena, etc. I am also working with deployment tools such as Jenkins and Terraform as IaC.

2) [C] Automation and enhancement of a current solution that ingests data from databases in premises to our DW on AWS Cloud. Files are ingested in S3 and then, ETLs orchestrated by Airflow are triggered. In this solution we are using a wide variety of services, for example, EMR for applying transformations and/or consolidate data, DMS for retrieving the data from the on-premises databases, DynamoDB for storing metadata about the states of the different processes, etc.

3) [D] Bluemetric is a highly flexible solution that recurrently extracts relevant metrics from different services of AWS by using both CloudWatch and CloudTrail. Such metrics are materialized wherever specified (RDS, S3) for further analysis, for example with PowerBI, QuickSight.

4) [D] Bluehaul is an event-driven architecture almost-serverless solution that makes files that are ingested within the cloud (namely, S3) available for analysis and computation. It is mainly focused on the movement and optimal structuration for efficient retrieval and manipulation. Services used: S3, CloudWatch, for triggering events and monitoring, Lambda, DynamoDB, SNS, ECR and AWS Batch.

5) [D] Architecting and developing a scalable, resilient and distributed platform in AWS to programmatically schedule and monitor workflows (using Apache Airflow) for ETL processes within Datalakes across multiple projects.

6) [C] Providing support on an ETL project in Redshift orchestrated by Apache Airflow.

AWS Data Engineer

Big Data dept at University Institute of Intelligent Systems and Numeric Applications in Engineering

Collaborating on OSMOSE, a European H2020 project. 

1) Developed Pyself framework. A novel simulation lab factory for Siemens PSS/E. It was used for analysing and optimising the impact of a new device within the electrical system in the Canary Islands.
2) Submitted a paper titled "OPTIMISING POWER SYSTEMS BY AUTOMATING LARGE SETS OF SIMULATIONS"  to The European Multidisciplinary Society for Modelling and Simulation Technology (EUROSIS) as a result of Pyself.

Research support technician

Self-Employed

Teacher of Programming

Self employed

Utterly plunged into the wondrous world of teaching Mathematics and Physics to 12th-grade students (Bachillerato and Uni)

Teacher of Mathematics and Physics

EIFER - European Institute for Energy Research

1) Research and develop a web-based application (SAVVY) for visualizing different kind of graph-based datasets within the company.
2) Extensive research on the suitability of using SPARQL and Graph Databases such as Neo4j for the aforementioned objective.

Technical Support Engineer (Intern)

Data and ML Engineering | Founder @TheDataSwiss

Hace 1 año que salí de prisión.

Una prisión en la que podía salir a la calle.

En la que tenía los sábados, domingos y generalmente todas las tardes para mí.

En las que dormía en mi casa.

En las que tenía 23 días por año para irme a Indonesia si quisiera.

Pero de resto, jodido. Tenía si o sí que estar en prisión.

Por suerte, me escapé.

Y ahora vivo en otra prisión construida por mi en la que no salgo casi nunca, jajajajjaa.

Mierda.

He ido a peor. ¿te has dao cuenta tu también no?

Tomás Denis Reyes Sánchez

Ayuda a hombres a tener relaciones con mujeres sin depender de Tinder.



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Softwisery

CEO & Founder

Upwork

Virtual CTO | Tech Lead | Full Stack .NET/Angular Developer

Yez Technologies

Startup In Automotive Industry

Responsibilities:
•	Setting up the software development department
•	Managing in-house Dev team and outsource teams
•	Mentoring and training junior developers
•	Writing and reviewing code
•	Interacting and brainstorming with the business team
•	Reporting development progress
•	Establishing a high-level strategic plan of product development
•	Interacting with integrated API partners

Achievements:
•	Formed high-level product vision
•	Created product architecture
•	Built development team successfully
•	Developed and introduced coding standards and guidelines
•	Set up team management infrastructure
•	Introduced the Agile approach
•	Coordinated interaction between development and business teams
•	Set up release management infrastructure
•	Established the quality assurance process
•	Launched product to production

Technologies and tools: 
.NET Core WebAPI, Angular, PostgreSQL, Jira, Bitbucket, Confluence, NGINX, Docker, Jenkins.

CTO | Solution Architect | Tech Lead

Microteh

Software development company in the transport automation sphere.

Responsibilities:
•	Database design (MS SQL Server)
•	T-SQL coding
•	Desktop application development (.NET Framework)
•	Front-end web development (Angular)
•	Web api design (ASP.NET WebApi)
•	Mentoring junior developers
•	Publishing releases

Achievements:
•	Implemented gate for train ticket sales (API for numerous mobile clients)
•	Implemented a reporting system for train ticket senior cashiers
•	Implemented web application for monitoring turnstile states

Technologies: 
.NET C#, WinForms, ASP.NET WebAPI, WCF, T-SQL, MS SQL Server, Angular.

Solution Architect | Senior Software Developer

Ecoplaces

E-travel startup dedicated to country hotel booking.

Responsibilities:
•	Building project architecture from scratch
•	Database design (MS SQL, EntityFramework)
•	Web api design (ASP.NET WebApi)
•	Building security infrastructure (based on ASP.NET Identity 2.2)
•	Building the core of the UI framework for admin module
•	Interaction with customers (matching the requirements and converting them into JIRA tickets and Balsamiq mockups)
•	Team leading (using JIRA & Tempo plugin)
•	Maintaining all IT infrastructure (SVN, test -> stage -> production deploys)
•	Publishing releases

Achievements:
•	The compact and effective development team was created
•	Agile methodology was introduced
•	Internal framework for fast UI generation was implemented
•	MVP was launched quickly with minimal money expenses
•	Provided stable and fast development of the product

Technologies: 
C#, ASP.NET WebAPI, ASP.NET MVC, MS SQL Server, Knockout.js, Durandal.js, jQuery, HTML5, CSS, TypeScript.

CTO | Solution Architect | Full Stack Developer  

Inteltelecom

Desktop software product for call centers and taxi companies.

Responsibilities:
•	Coding front end and back end parts for desktop applications
•	Refactoring and optimization of the legacy code
•	Database design
•	SCRUM meetings and planning
•	Interaction with the business department and the company’s partners

 Achievements:
•	Developed «Orders exchange system» (between taxi dispatchers). Data exchange through HTTP by means of self-designed XML protocol; integration with Yandex.Taxi, RBTaxi, NowTaxi (external taxi systems)
•	Implemented integration with e-map systems (CityGuide, Ingit, Internet maps),
•	Developed mobile Android terminal for taxi booking (from scratch, using Xamarin platform)
•	Developed a hot backup system for databases, used in the product
•	Many other integrations and modules within the product

Technologies: 
.NET C#, WinForms, DevExpress, Xamarin, PostgreSQL.

Middle Software Developer

Moscow Stock Exchange JSC (MSFB)

A financial company with an in-house development department.

Responsibilities:
• Developing desktop applications for automatization of the business processes
• Writing unit tests

Achievements:
• Implemented front-end part of the bank clearing system
• Implemented front-end part for the report generation system
• Implemented several internal tools (reports’ import/export utility, log analyzer, etc.)

Technologies:
.NET C#, С++/CLI, WinForms, UserControls.

 Junior Software Developer

🔸15 Years of Professional Experience
🔸3 Startups Launched from Scratch to Finish
🔸50+ Projects Deployed to Production on Time

Hello! My name is Michael. I'm a .NET solution architect with 15 years of experience. During my exciting tech journey, I have worked on dozens of projects in various industries including Transportation, Automotive, E-Travel, and Insurance. My roles have spanned numerous positions, including:

▸ CTO
▸ Tech Lead
▸ Full Stack Developer
▸ Solution Architect
▸ DevOps Engineer
▸ Project Manager
▸ Recruiter
▸ Mentor

I have a clear understanding of every step that needs to be taken from the first draft written on a bunch of sticky notes to the sophisticated web platform deployed to production.

🔸Guiding businesses through the maze of modern technology

I'm passionate about building complex systems, whether it's a brand-new product requiring construction from scratch or a large legacy system in need of modernization and cloud migration. I understand that when it comes to technical implementation, businesses must navigate through uncertainty, facing an immense diversity of possible technical solutions. It's easy to get lost in this digital ocean of modern technologies and become overwhelmed by the challenges that arise.

My role is to eliminate all questions related to technical implementation so that my clients can concentrate on their core business goals.

During my IT journey, I've gathered a repository of practical insights. This equips me with a keen understanding of the common pitfalls that teams might encounter and how to deftly navigate around them.

🔸Philosophy and Superpower

Throughout my career, I've been reassured many times that “the best is the enemy of the good”. In my work, I adhere to this philosophy by keeping things simple and clear, guided by the principles of KISS (Keep It Simple, Stupid) and YAGNI (You Ain't Gonna Need It).

This doesn't mean sacrificing quality for speed and functionality; it's all about balance. There's no one-size-fits-all approach to achieving this balance, as it depends on many factors and varies from project to project. Feeling and wisely implementing this balance is vital. That's why I regard intuition as my superpower. By harnessing the power of my intuition, I can pinpoint the most efficient and effective approaches, saving time and resources for both my clients and the development team.

🔸Softwisery - My Company

I also run a software development and consulting company called Softwisery. The company focuses on premium quality solutions for SMBs. 

Thanks for learning about me!

Michael Ratnikov

In software, you can't be 90% correct.

100% is the requirement. 
Every edge case matters. Every validation must hold. 

One missed nuance and the system "works" - except when it doesn't.

And that's the dangerous part.

When AI gets 90% right, the remaining 10% becomes almost invisible.

The code looks clean. 
The logic seems sound. It's tempting to ship it and move on.

In a demo? Flawless.
In production? Postponed disaster.

Here's the thing:

AI excels at pattern replication. CRUD operations, boilerplate, standard implementations - it stamps these out beautifully.

But that's not where software value lives.

The real value is in edge cases. Complex validations. Tangled business logic that isn't obvious at first glance. The nuanced domain rules that separate software that "runs" from software that actually works.

AI fulfills patterns. It doesn't understand intent.
It will confidently generate code that violates your business rules - because it never knew them in the first place.

The brutal truth?

AI makes experienced developers faster.
It makes inexperienced developers dangerous.

Because if you can't spot what's wrong, you'll ship it. 
And you'll discover the problem when your customers do.

Are you seeing the same patterns? 
Share in the comments below 👇

Your Tech Partner From MVP to Series A | Fractional CTO for Funded Startups | Strategy, Architecture & Team Leadership

Regulated industries taught me that "move fast and break things" is incomplete.
But perfectionism is worse.

In regulated industries - InsurTech, HealthTech, FinTech - you can't break things.
HIPAA. SOC2. State regulations. The guardrails are real and the penalties are serious.

One security vulnerability we missed during a SOC2 audit: insufficient rate limiting on OTP codes. Attackers could have brute-forced their way in. Not theoretical - the auditor flagged it because it happens.

So yes, regulated industries demand caution.
But I've seen teams get stuck in the opposite problem.

Perfectionism disguised as responsibility:

→ Endless architecture discussions for features that might never ship
→ 100% test coverage before a single user touches the product 
→ Compliance theater that impresses no one who actually understands compliance 
→ Six months building a "universal framework" when three simple forms would do

Meanwhile, the people who need the product are still waiting.

The founders I respect most have figured out the middle path:

Fast enough to matter. Solid enough to trust.
Not reckless. Not paralyzed.

They know which corners absolutely cannot be cut (security, consent, data handling) and which "best practices" are actually premature optimization in disguise.

What's the hardest trade-off you've navigated between speed and safety?

We just need more engineers - the most expensive assumption in startups.

Scaling fast feels like winning.
Until everything starts breaking at once.

Here's what actually happens:

🔸Your velocity will drop before it rises.
🔸Newcomers need context. 
🔸They ask questions. 
🔸They need code reviews. 
🔸They make mistakes that seniors have to catch.

In a small startup team, this hits hard. I remember hiring just one junior developer - mentoring them took almost 30% of my time as Team Lead.
Now multiply that by 8 people...

The math is brutal:

🔸 First two months? Expect velocity to drop by up to 40%.
🔸 Your senior developers stop shipping. They start explaining.
🔸 The more people you hire at once, the heavier the burden on your existing team.
🔸 Knowledge that lived in everyone's heads now needs documentation. Yesterday.

What actually works:

Hire in waves, not all at once. 
Bring on 1-2 people, let them absorb context, then hire the next batch.
It feels slower. It ships faster.

The companies that scale successfully aren't the ones that hire fastest.
They're the ones that maintain quality while growing.

Have you scaled a team rapidly? 
Share your experience in the comments 👇

“Cutting-edge tech stack" is a red flag in regulated industries.
If you're building in healthtech, insurtech, or fintech - here's why boring wins. 👇 

When we built Quote Bot's insurance platform, I chose ASP.NET Core, PostgreSQL, Angular as a tech stack. 

Not because I evaluated every option and chose "boring."

Because I'd spent 10+ years in .NET and knew exactly what it could deliver for a regulated industry.

Looking back, that familiarity was a bigger advantage than I realized at the time.

Here's why:

🔸 Security isn't assembled - it's built in. ASP.NET Core ships with enterprise-grade security: Identity system, OAuth2, encryption APIs. With other stacks, you're assembling security from dozens of packages. Each package is a dependency. Each dependency is a 
risk.

🔸 Static typing = audit trail reliability. C# catches errors at compile time, not runtime. When auditors ask "how do you ensure data integrity?" - predictable, type-safe code is a 
much easier answer than "we hope our tests catch it."

🔸 The package ecosystem matters. This year, a worm called Shai-Hulud compromised 25,000+ JavaScript repositories. CISA issued an official alert. NuGet isn't immune, but Microsoft's ecosystem has stricter governance. When your compliance depends on your dependencies, that governance matters.

🔸 Deep talent pool. When investors ask "what happens if your CTO gets hit by a bus?" — having a mainstream stack with 20+ years of enterprise talent is part of the answer.

The uncomfortable truth:

Your investors and auditors don't care about novel frameworks. They care about security, maintainability, and passing audits.

Can you achieve this with trendier stacks? 
Yes. 
But you'll burn runway assembling what comes built-in elsewhere.

In regulated industries, your tech stack isn't a technical decision. 
It's a risk decision.

Choose accordingly.

taplio

The Battle

Tomás Denis Reyes Sánchez

Michael Ratnikov

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taplio

The Battle

Tomás Denis Reyes Sánchez

Michael Ratnikov

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