Ring-0 Networks

Marketing and commercial advisory. Technical sales supporting.

Advisor

Yes 2 AI

AI and Cybersecurity product expert with a proven track record of leading teams from conceptual product ideation to commercialization and exit earn-out multipliers.

Chief Product Officer

Valonni Corretora de Planos de saúde e Seguros

• Led product development and market launch, achieving a 4x revenue increase in four years.
• Directed cross-functional teams and integrated CRM to enhance pre-sales and post-sales operations.
• Developed a strategic product roadmap with new products including credit card lines, insurances, and health care plans, aligning product vision with business goals.
• Orchestrated the strategic design and execution of new acquisition channel strategies, utilizing A/B testing and customer journey mapping supported by advanced data analysis (Google Analytics), achieving a 70% boost in sales.

Head of Products and Founder

CUJO AI

• Spearheaded the firmware team as Product Manager, launching CUJO AI SaaS smart firewall and its mobile app across 20 million devices, resulting in a 100% revenue increase over three years.
• Implemented Agile methodologies (Scrum), delivering 40% more using process optimization and performance metrics.
• Achieved 100% automation with QA engineering in firmware releases through iterative testing and development (Jira, Confluence, Trello), ensuring compliance with user story acceptance criteria.
• Managed the product lifecycle, including MVP development of the Parental Controls feature, resulting in a 30% increase in user acquisition and a 40% reduction in time to market.

Senior Product Manager

THINC.

• Led IoT department, launching an enterprise software and mobile app for real-time telemetry of 100 million refrigerators for the B2B market (Coca-Cola), achieving over 20% cost savings.
• Directed product development lifecycle of mobile app and web system enterprise with user-centric design, increasing annual revenue from 10% to 35% over five years.
• Utilized data analysis and insights (SQL, Excel, Python) to boost operational efficiency by 80%, reducing downtime from 30 minutes to 5 minutes, enabling rapid issue resolution.

• Engineered a cost-reduction algorithm/product for fleet fuel management, reducing fuel costs by 45% and saving clients $10M, resulting in an 80% revenue surge over five years.
• Directed and mentored teams in agile software development sprints, enhancing product quality and performance.Demonstrated strengths in team leadership, agile methodology, and stakeholder relations.
• Applied expertise in coding, algorithms, machine learning, and data engineering, implementing a telemetry strategy based on user research to boost stakeholder engagement

Lead Product Manager

• Cultivated strong client relationships through targeted user research, successfully attracting two new clients and boosting revenue by 30% compared to the previous year. Demonstrated expertise in client relationship management, user research, and revenue growth for RM Telecom. 
• Ensured stakeholder satisfaction by providing consistent updates, clearly defining project scope, objectives, and resources. Showcased strengths in stakeholder communication, project management, and resource allocation.

Project Manager

Internship Trainee

Chief Product Officer Yes2 AI

Driving the product lifecycle of AI innovation at Yes 2 AI, my focus is on transforming conceptual products into market-leading solutions. This journey is underscored by my recent support role at Ring-0 Networks a cybersecurity startup, where I advise on commercial and marketing strategies, enhancing technical sales processes.

With a proven track record in leading teams from product concept to market realization, I excel in aligning AI initiatives with business objectives. We harness generative and responsible AI to deliver measurable outcomes, scaling AI-based products that exceed market and customer expectations while unlocking growth opportunities.

Isabela Valonni

I have a Master's degree in Information Technology and a keen interest in artificial intelligence and deep learning.

Passionate about applying cutting edge AI to address real world issues and drive meaningful change. Seeking opportunities to further develop my abilities and contribute value through data driven solutions.

Muhammad Usman Shahbaz

Your database is probably a mess and costing you money.

Understanding the 6 Normal Forms can transform your database from chaos to clarity

🎯 Quick breakdown:

1NF: Stop storing "Math, English, History" in one cell Split it into separate rows

2NF: Don't make non-key data depend on part of your primary key Create focused relationship tables

3NF: Eliminate those sneaky indirect dependencies Department location shouldn't live in employee records

BCNF: Make every determinant a superkey No exceptions to the dependency rules

4NF: One table, one purpose Don't mix student courses with student hobbies

5NF: Perfect reconstruction through joins only The ultimate normalized state
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Normalization_in_SQL

The Python Cheat Sheets Every Developer Should Bookmark.

Python is simple… until it isn’t.

And when you’re under interview pressure or building fast, memory alone isn’t enough.

So I am sharing a Python Cheat Sheets PDF that brings all the essentials into one place clean, concise, and practical.

📌 What’s inside:
 ✅ Python syntax & core concepts
 ✅ Data types, loops, and functions
 ✅ OOP essentials (classes, objects, inheritance)
 ✅ File handling & exceptions
 ✅ Built-in functions you should memorize
 ✅ Useful libraries & shortcuts
 ✅ Common mistakes to avoid

📘 Download the Python Cheat Sheets.

Python-Cheatsheets

Struggling with Hallucinations, Low Recall, or Slow RAG Systems?

The problem? Most developers skip the fundamentals.

Here's what actually moves the needle:

1. Your chunking strategy is killing your accuracy
Fixed-size chunks = lost context Solution: Sliding windows with 10-15% overlap

2. Vector search alone isn't enough
Keyword searches still matter Hybrid search (semantic + BM25) catches what embeddings miss

3. Retrieval ≠ Quality
Retrieving 50 documents means nothing Reranking the top 3-5 with a cross-encoder changes everything

4. Your prompts are too vague
"Answer using the context" → Hallucinations "Answer ONLY from the context. If unsure, say I don't know" → Grounded responses
The truth about RAG systems: → Garbage in = Garbage out → 80% of performance comes from data quality → The best model won't fix bad retrieval

👇 I’ve attached the full cheat sheet PDF

Rag_Performance_Optimization

The Only DSA Cheat Sheet You’ll Ever Need.

If you’re preparing for coding interviews, this one resource can save you hundreds of hours.

A DSA Cheat Sheet that covers everything interviewers love to test in one clean, visual format:

📌 What’s inside:
 ✅ Arrays, Strings, Linked Lists, Stacks & Queues
 ✅ Trees, Tries, Graphs & Hashing
 ✅ Recursion & Backtracking
 ✅ Dynamic Programming (LCS, LIS, Knapsack, Matrix Chain)
 ✅ Searching & Sorting
 ✅ Greedy Algorithms
 ✅ Bit Manipulation & Math
 ✅ Common Coding Templates
 ✅ Beginner Mistakes to Avoid

Download / Save the DSA Cheat Sheet.

DSA_Cheatsheet

300 Real SQL Interview Questions (Medium → Advanced)

It’s not basic SELECT queries that fail people.

It’s window functions, CTEs, edge cases, and real-world logic.

So this pdf put everything into one place:

A practical, no-BS collection designed to help you actually clear technical interviews.

What’s inside:
🔹 300 real interview questions used by top companies
 🔹 Advanced JOINs, subqueries & aggregations
 🔹 Window functions (RANK, LAG, NTILE, CUME_DIST, etc.)
 🔹 Recursive CTEs & hierarchy problems
 🔹 Time-series, gaps & islands, streaks, running totals
 🔹 Real business scenarios (sales, HR, finance, ops)
 🔹 Performance-aware query patterns

🔁 Share it with someone preparing for interviews

taplio

The Battle

Isabela Valonni

Muhammad Usman Shahbaz

Followers

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Performance ScoreMuhammad Usman Shahbaz's LinkedIn Performance

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taplio

The Battle

Isabela Valonni

Muhammad Usman Shahbaz

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Muhammad Usman Shahbaz's LinkedIn Performance

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Performance ScoreMuhammad Usman Shahbaz's LinkedIn Performance