About Me
- Full Stack AI & Data Science Engineer — building intelligent, scalable solutions for real-world impact.
- Cloud-native with AWS, Kubernetes, Docker — deploying robust, production-grade platforms.
- Data Science: wrangling, modeling, analytics (Python, Pandas, scikit-learn, SQL, NoSQL, Neo4j).
- ML workflows: Prompt Engineering, RAG, fine-tuning, CI/CD for MLOps.
- MCP server & agent skills for distributed, scalable AI systems.
- Power user of GitHub Copilot & modern dev tools for rapid prototyping and collaboration.
Education
Master of Science (MSc) in Artificial Intelligence
University of Liverpool, UK
- Graduated with Distinction
- Focus areas: Machine Learning, Natural Language Processing, Applied AI
- Reinforcement learning, Bio-Inspired Algorithms, Advance Mathematics for AI
- Databases, Python
Bachelor of Technology (B.Tech)
SRM Institute of Science and Technology, Chennai
- First Class with Honours
- Major: Electronics Engineering
Technical Expertise
Frontend
React.jsNext.jsTypeScript
Backend
Node.jsPythonExpressSQL
Cloud
AWSDockerKubernetes
AI/ML
TensorFlowLangChainLlamaIndexMLflowLangGraph
LLMs
OpenAIAnthropicHuggingFaceLLaMAMistral
Databases
MongoDBPostgreSQL
Vector Stores
PineconeWeaviateChroma
Graph Database
Neo4j
AI Tools
AutoGenCrewAIAgent Frameworks
Current Focus
- Building scalable web applications using modern frameworks
- Implementing AI/ML solutions in web applications
- Developing cloud-native applications
- Creating technical content and documentation
- Building autonomous AI agents
- Optimizing GenAI workflows for enterprise applications