Selvakumar Ulaganathan - AI Technology Consultant

Q: Where is Selvakumar based?

Selvakumar is based in Oud-Heverlee, Belgium .

Q: What languages does Selvakumar speak?

Selvakumar speaks the following languages: English (Native), Dutch (Elementary) .

Q: How many years of experience does Selvakumar have?

Selvakumar has at least 12 years of experience. During this time, Selvakumar has worked in at least 9 different roles and for 13 different companies . The average length of individual experience is 1 year and 11 months . Note that Selvakumar may not have shared all experience and actually has more experience.

Q: What is Selvakumar's latest experience?

Selvakumar's most recent position is AI Technology Consultant at Giotto .

Q: What companies has Selvakumar worked for in recent years?

In recent years, Selvakumar has worked for Giotto , GSK , ACA Group , Ethias Insurance , and NRB .

Q: Which industries is Selvakumar most experienced in?

Selvakumar is most experienced in industries like Information Technology , Automotive , and Energy . Selvakumar also has some experience in Pharmaceutical , Education , and Professional Services .

Q: Which business areas is Selvakumar most experienced in?

Selvakumar is most experienced in business areas like Information Technology , Research and Development , and Product Development . Selvakumar also has some experience in Operations , Supply Chain Management , and Business Intelligence .

Q: Which industries has Selvakumar worked in recently?

Selvakumar has recently worked in industries like Energy , Pharmaceutical , and Information Technology .

Q: Which business areas has Selvakumar worked in recently?

Selvakumar has recently worked in business areas like Information Technology , Product Development , and Research and Development .

Recommended expert

Oud-Heverlee, Belgium

Experience

Aug 2024 - Oct 2024

3 months

AI Technology Consultant

Giotto

Supported AI (computer vision-based gaming) product development.
Supported artificial generative intelligence product development.
Supported ChatGPT-like generative AI (NLP/LLM) tools development.
Tech stack: Azure Machine Learning, Vertex AI, LangChain, LangGraph, Llama, ChatGPT, RAG, FastAPI, Asyncio, GPU, CUDA, Haystack.

Jan 2024 - Present

2 years 3 months

Decision Intelligence GenAI/Agentic-AI Lead

GSK

Drove GenAI/Agentic-AI initiatives in Pharma, Vaccines, and Supply Chain.
Developed Generative Agentic AI solutions for end-to-end Global Supply Chain.
Designed GenAI tech stack architectures, led teams, and developed Agentic AI roadmaps.
Python for AI/ML model development and data processing.
LangChain, LangGraph, Pydantic AI, Llama, ChatGPT, RAG, Hugging Face for building LLM agents.
Azure AI Search, AI Foundry, OpenAI, Cosmos, FastAPI, MCP, CoPilot for scaling to 100+ customers.
Kubernetes, Azure Databricks for scalable data analytics and ML workflow orchestration.
Docker, GitHub, CI/CD, Azure DevOps, Terraform for versioning, IaC, agile and team collaboration.
Power BI for visualizing AI results and insights.
Built a RAG based ChatGPT-like assistant for querying healthcare and clinical trial data.
Developed GenAI tools (RAG and MCP server) for protocol summarization and document search.
Built an LLM-based multi-agent system for supply chain problems (end-to-end lead time prediction).
Created agent-ready AI digital twins to simulate and optimize manufacturing and supply chain.
Delivered Power BI dashboards to visualize AI-driven insights for business teams.

Dec 2022 - Jul 2023

8 months

Senior Machine Learning Engineer

ACA Group

Provided contracting services as a senior machine learning engineer.
Researched and identified edge AI devices, cameras, lidar sensors, and other computer vision AI utilities.
Flashed edge AI devices (Raspberry, Jetson, etc.), installed necessary AI packages, and configured cameras.
Collected use-case data; built, packaged, deployed, and monitored AI vision models on remote edge devices.
Developed a real-time edge AI video analytics software and hardware solution for object detection, segmentation, and tracking using NVIDIA Jetson-DeepStream, YOLO, PyTorch, Docker, Terraform, Databricks, SageMaker, CodeBuild, IoT Greengrass, Kinesis, Glue, S3.
Developed a large language model–based NLP application for intelligent custom search and cognitive analytics using Azure OpenAI, Azure Cognitive Search, LangChain, Llama, Streamlit, Databricks.
Developed a textile objects segmentation application using Python, PyTorch, OpenCV, YOLO vision models, Raspberry Pi, and industrial cameras.

Mar 2022 - Dec 2022

10 months

Senior Machine Learning Engineer

Ethias Insurance

Identified AI use cases for the insurance business and created an AI roadmap for production applications.
Processed large amounts of customer data to generate insights and built GDPR compliant ML products.
Developed a reinforcement learning software in production for dynamic pricing, churn prediction, fraud detection, and recommendation using Airflow, MLflow, TensorFlow Agents, PyTorch, Ray RLlib, Scikit-Learn, OpenAI Gym, S3, SageMaker RL models, Lambda, API Gateway, CloudWatch.
Developed a reinforcement learning experimentation software (SaaS, on-premise and cloud) to streamline RL from experimentation to deployment for supply chain optimization, dynamic pricing, and critical decision making using TensorFlow Agents, PyTorch, Ray RLlib, OpenAI Gym, Courier API, Streamlit, AWS S3, SageMaker RL models, Lambda, Azure Function Apps, Synapse.
Undertook small-scale business data analytics projects for big data segmentation and human resource backlog reduction using XGBoost, Databricks, Python, R, Sphinx, Nox, Pytest, Jira, Confluence.

Mar 2022 - Dec 2022

10 months

Senior Machine Learning Engineer

NRB

Assisted clients in adopting an AI-first strategy to facilitate digital transformation.
Developed white-box AI models with explainable AI (XAI) technologies for deep insights into model behaviors.
Provided support and expert advice on bringing proof-of-concept models to production quickly.

Mar 2022 - Jul 2022

5 months

Senior Machine Learning Engineer

Faktion

Provided support to solve open-set recognition problems and build and deploy reinforcement learning models in production.
Provided expert advice on AI for spectral imaging, NLP, and state-of-the-art trends in industrial AI.

Sep 2019 - Mar 2022

2 years 7 months

Senior AI/Data Science Consultant

N-SIDE/Elia Group

Participated in and led AI projects for various energy clients (three projects concurrently).
Conceived and commissioned deep learning architectures to solve energy problems.
Developed tools to bridge artificial intelligence and electricity market and grid operations.
Delegated tasks, mentored junior data scientists, and participated in the Belgian AI ecosystem (AI4Belgium).
Used PyCharm, VS Code, Jupyter Hub/Lab for Python development and testing.
Used TensorFlow, Keras, PyTorch, MxNet, Prophet, Scikit-Learn for model development and comparison.
Used Streamlit, TensorBoard, Metabase, Qlik for model visualization and serving.
Used Docker, Kubernetes, Dask, AWS, Azure for training and deploying SaaS AI applications.
Developed and published an open-source Python tool for anomaly and outlier detection using Scikit-Learn and GitLab CI/CD.
Built an MVP reinforcement learning system for supply-demand problems for Elia using OpenAI Gym, TensorFlow Agents, XGBoost, Dask, Docker, GitLab CI/CD, Streamlit, AWS, Kubernetes.
Developed POCs and SaaS AI systems for real-time electricity price adaptation, grid maintenance checklist generation, day-ahead price forecasting, big data clustering, dynamic price signal publication, and anomaly detection using various frameworks and cloud services.

Jun 2019 - Oct 2019

5 months

Founder/Chief Data Scientist

Stealth Startup

Managed a startup team of data scientists.
Successfully delivered multiple AI projects including government-funded blood-based medical diagnosis using explainable AI (Shap-XAI), anomaly detection of aircraft sensor time-series data (Scikit-Learn), probabilistic time-series forecasting for satellite data (MxNet), and SaaS API dashboard applications for predictive maintenance and manufacturing using deep neural networks, Shap, Streamlit, Power BI, Docker, Python, GitHub Actions, Azure ML, Functions, Web Apps.

Mar 2016 - Jun 2019

3 years 4 months

AI Research Engineer

Noesis Solutions

Researched and developed innovative tools to integrate artificial intelligence and model-based systems engineering.
Developed an autonomous AI-based optimizer and various AI methods for proprietary software using neural networks, trees, support vector machines with C++ backend and GPU support.
Developed an AI digital twin with smart data dimensionality reduction for Volkswagen Germany using Python, C++, active subspace method, random forest.

Apr 2015 - Feb 2016

11 months

Guest Researcher

Reykjavik University

Nov 2011 - Jan 2012

3 months

Voluntary Research Assistant

Cranfield University

Jun 2010 - Aug 2010

3 months

Guest Researcher

NI Centre for Higher Education

Jul 2009 - May 2010

11 months

Lecturer

Bannari Amman Institute of Technology

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Information Technology, Automotive, Energy, Pharmaceutical, Education, and Professional Services.

Information Technology

Automotive

Energy

Pharmaceutical

Education

Professional Services

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology, Research and Development, Product Development, Operations, Supply Chain Management, and Business Intelligence.

Information Technology

Research and Development

Product Development

Operations

Supply Chain Management

Business Intelligence

Skills

Genai Frameworks: Langchain, Langgraph, Llama, Openai, Chatgpt, Hugging Face, Rag, Haystack
Explainable Ai/ml (Xai) Frameworks: Shap, Lime, Shapley, Grad-cam.
Edge Embedded Ai/ml: Tensorflow Lite, Raspberry Pi, Google Coral Tpu, Tensorflow Federated.
Ai/ml Frameworks: Tensorflow, Keras, Pytorch, Scikit-learn, Mxnet, Gluonts, Xgboost, Dlib.
Ai/ml Dashboarding Frameworks: Streamlit, Metabase, Angular, Kibana, Power Bi, Shiny.
Cloud/app Services: Gcp, Microsoft Azure, Amazon Web Services, Heroku, Terraform, Databricks
Ai/ml Pipeline Frameworks: Git, Dvc, Gitlab Ci-cd, Dash, Docker, Kubernetes, Spark Ml, Airflow.
Data/api Management: Vllm, Text Generation Inference, Stoplight, Openapi, Sqlalchemy
Other Computing Tools: Pycharm, Vs Code, Jupyter Notebooks, Shell Scripting.

Languages

English

Native

Dutch

Elementary

Education

Feb 2012 - Feb 2016

Ghent University

PhD, Development of AI & ML methods for IoT · Engineering Sciences - Specialised in AI · Ghent, Belgium

Sep 2010 - Oct 2011

Cranfield University

MSc, Development of AI Digital Twins · Computational Fluid Dynamics · Cranfield, United Kingdom

Aug 2005 - Jun 2009

Anna University

B.E, Statistical Methods based Aircraft Design · Aeronautical Engineering · Chennai, India

Statistics

Experience

Total positions 13

Experience in Information Technology 5 y

Avg length 1 y

Longest experience 3 y 3 m

Expertise

Recent roles AI Technology Consultant, Decision Intelligence GenAI/Agentic-AI Lead, Senior Machine Learning Engineer

Main industries Information Technology, Automotive, Energy

Main business areas Information Technology, Research and Development, Product Development

Qualifications

Highest degree Doctorate

Profile

Created

March 2026

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Selvakumar based?

Selvakumar is based in Oud-Heverlee, Belgium.

What languages does Selvakumar speak?

Selvakumar speaks the following languages: English (Native), Dutch (Elementary).

How many years of experience does Selvakumar have?

Selvakumar has at least 12 years of experience. During this time, Selvakumar has worked in at least 9 different roles and for 13 different companies. The average length of individual experience is 1 year and 11 months. Note that Selvakumar may not have shared all experience and actually has more experience.

What roles would Selvakumar be best suited for?

Based on recent experience, Selvakumar would be well-suited for roles such as: AI Technology Consultant, Decision Intelligence GenAI/Agentic-AI Lead, Senior Machine Learning Engineer.

What is Selvakumar's latest experience?

Selvakumar's most recent position is AI Technology Consultant at Giotto.

What companies has Selvakumar worked for in recent years?

In recent years, Selvakumar has worked for Giotto, GSK, ACA Group, Ethias Insurance, and NRB.

Which industries is Selvakumar most experienced in?

Selvakumar is most experienced in industries like Information Technology, Automotive, and Energy. Selvakumar also has some experience in Pharmaceutical, Education, and Professional Services.

Which business areas is Selvakumar most experienced in?

Selvakumar is most experienced in business areas like Information Technology, Research and Development, and Product Development. Selvakumar also has some experience in Operations, Supply Chain Management, and Business Intelligence.

Which industries has Selvakumar worked in recently?

Selvakumar has recently worked in industries like Energy, Pharmaceutical, and Information Technology.

Which business areas has Selvakumar worked in recently?

Selvakumar has recently worked in business areas like Information Technology, Product Development, and Research and Development.

What is Selvakumar's education?

Selvakumar holds a Doctorate in Engineering Sciences - Specialised in AI from Ghent University, a Master in Computational Fluid Dynamics from Cranfield University and a Bachelor in Aeronautical Engineering from Anna University.

What is the availability of Selvakumar?

Selvakumar will be available full-time from March 2026.

What is the rate of Selvakumar?

Selvakumar's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.