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Senior Machine Learning Engineer / Data Scientist

Heicoders Academy

Instructor

Gojek

Data Scientist

Data Analyst

Kuprion Inc

R&D Assistant

Fave

Growth Planner

Nanyang Technological University

Research Assistant

Xfers

Marketing Analyst

🤖 I use analytics, machine learning and deep learning to fight spam content at work. Classic ML algorithms, time series analysis, natural language processing, or computer vision are just some examples of the techniques I’ve used.

🧑‍🏭 I like learning and teaching things! I'm a chemical engineer turned data scientist. I self-learnt pretty much everything to move into tech. I'm now pursuing my Master's in Computer Science, teaching at a data science bootcamp, and sharing data science knowledge online.

Let’s connect. 
Personal site: https://www.travistang.com
Email: travistang.vh@gmail.com

Travis Tang

Capgemini

• Recognized as a Databricks Champion , leveraging deep expertise in Databricks and its
ecosystem to deliver transformative data and AI solutions for clients.
• Partnering with clients to demonstrate the capabilities of next-gen data plaforms such as Databricks, Snowflake, and AWS services, aligning technical outcomes with business objectives, and driving adoption of the Lakehouse architecture.
• Leading end-to-end delivery of AI and data products , focusing on enterprise strategy, system
integration, and operational excellence for clients across diverse industries.
• Design and implementation of cloud-native big data solutions using Databricks, AWS, GCP,
Snowflake, and Azure, optimizing ETL pipelines and AI/ML workflows.
• Delivery of hands-on workshops, demonstrations, and training sessions , empowering client
teams to maximize value from Databricks and modern MLOps practices.
• Acting as a trusted advisor by creating reference architectures, conducting advanced POCs, and
solving complex data engineering challenges.
• Championing AI and data innovation , mentoring junior engineers, fostering collaborative
environments, and scaling AI adoption across organizations.

Senior Lead Data and AI Solutions Architect

• Strategic Leadership
• Enterprise AI/ML Architecture 
• Innovative Data Strategies
• Business-Driven Data Solutions
• Cloud-Centric Solutions and Migrations
• Business Intelligence Steering
• Business Impact through NLP
• Delivering value through GenAI Adoption
• Strategic Project Management
• Cross-Functional Collaboration
• Team Leadership
• Stakeholder Relationship Management
• Business Development Focus

Lead AI/ML Engineer

• End-to-end delivery of ML products
• MLOps framework development
• Generative AI / LLMOps
• Synthetic data generation (Tabular, Image, Text)
• Building data pipelines (ETL, ELT, Data Lake, Data Warehouse)
• Solution architecting on Cloud (AWS, Azure, GCP) 
• Cloud migration 
• Advanced BI development
• Data analysis / storytelling 
• DevOps
• Software Development 
• Business development
• Advanced NLP
• Agile/Scrum
• Project Management
• Stakeholder Management

AI/ML Engineer

Copenhagen Business School

• Specializing in Machine Learning, Data Engineering, Cloud Architecture, and MLOps practices on Databricks and AWS. 
• Developing engaging learning experiences and fostering critical thinking.
• Guiding students in research and career development.
• Actively contributing to curriculum development.
• Keeping students updated with industry trends.
• Dedicated to advancing data science and technology education.

External Industry Lecturer

DTU Compute

Course: Introduction to Data Mining and Machine Learning 02450

Teaching Assistant

DTU Fotonik

DTU Lys Colloquia Officer

• End-to-end gradient-free optimization of pulse shaping for communication over the optical fiber channel
• Developing novel ML-enabled DSP algorithms 
• Scientific/engineering research and publication
• Developing an end-to-end ML library for model training, experiment tracking, deployment and monitoring (MLOps)

ML Researcher - Machine Learning in Photonic Systems

Capgemini Engineering

- Developing end-to-end data pipelines 
- Master Data Management and Data Governance
- Training and Deploying ML models
- ETL
- Monitoring ML models in production
- Model retraining and maintenance
- Architecting cloud-native solutions (AWS, Azure)
- Agile/Scrum
- Project Management

Consultant Data/ML Engineer

- Developing, deploying and monitoring ML models
- Developing ETL pipelines
- CI/CD pipeline maintenance
- Product Documentation
- Agile/Scrum

Junior Consultant Engineer

Politecnico di Milano

Design of a machine learning algorithm for QoT prediction of unestablished lightpaths

ML Researcher - Optimization of optical networks

Teaching assistant for the course "machine learning and digital communications"

The Everly Putrajaya

Design of a smart monitoring CCTV system for detection of missing and unattended objects

Computer Vision System Developer

MobinNet Telecom

Radio Access Network Engineer

• Databricks Solutions Architect Champion in the Nordics region, actively focused on increasing clients engagement and development of Data/AI hubs on Databricks. 

• AWS Solutions Architect Professional and Machine Learning Specialist, designing technical strategies to accomplish specific business goals while balancing best practices and trade-offs based on business context.

• GCP Professional Machine Learning Engineer, highly experienced in building, evaluating, deploying, and optimizing ML models by using Google Cloud technologies while handling large, complex datasets and creating repeatable, reusable code. 

• Highly experienced ML engineer focused on responsible AI and fairness throughout the ML model development process, and collaborating closely with other job roles to ensure long-term success of ML-based applications.

• Expert in AI/GenAI with 10 years of experience delivering business value through development and integration of AI systems into the existing enterprise ecosystem. 

• Experienced in project management, change management, and efficient communication with business stakeholders. 

• Experienced solutions architect with extensive business domain knowledge in several industries such as automotive, finance, telecommunications and IT. 

• Highly skilled IT professional with more than 22 valid certifications in all hyperscalers such as AWS, Azure, GCP, and data platforms such as Databricks and Snowflake. 

• Experienced researcher in the Fotonik department of Technical University of Denmark (DTU) in research field of Machine Learning techniques for communication over the nonlinear fiber-optic channel. 



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The Battle

Travis Tang

.Hatef Abdollahi.

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