About Me
- AI Engineer — specializing in fine-tuned models, reinforcement learning, NLP, and computer vision.
- Cloud-native with AWS, Kubernetes, Docker — deploying robust, production-grade AI/ML platforms.
- Data Engineering: ETL/ELT pipelines, analytics, business intelligence (Python, Apache Spark, Pandas, SQL, Tableau).
- Advanced ML workflows: Prompt Engineering, RAG, fine-tuning, model optimization, A/B testing.
- MCP server & agent skills for distributed, scalable AI systems with observability.
- Expert in Python ecosystem for AI/ML prototyping and production deployment.
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
Modern tech stack focused on scalability, performance, and innovation.
AI & Machine Learning
Fine-tuned Models
Reinforcement Learning
Deep Learning
NLP/Text Processing
Computer Vision
Model Optimization
TensorFlow
PyTorch
Data Engineering & Analytics
Apache Spark
Pandas
NumPy
SQL
NoSQL
Data Pipelines
ETL/ELT
Tableau
Business Intelligence
Backend & Cloud Infrastructure
Python
FastAPI
Django
AWS
Docker
Kubernetes
Microservices
Supabase
LLM APIs & Agents
OpenAI API
Claude API
Gemini API
DeepSeek API
Mistral API
Kimi API
MCP Server Agents
Prompt Engineering
Vector Stores & Graph DB
Pinecone
Weaviate
Chroma
Neo4j
AutoGen
CrewAI
Agent Frameworks
RAG Systems
MLOps
CI/CD for ML
Model Monitoring
Model Deployment
Model Versioning
A/B Testing
API Security
Observability
Current Focus
Transforming businesses through intelligent technology adoption and strategic mentorship.
Cloud Migration
Expert in migrating legacy on-premise systems to hybrid and cloud architectures. Specializing in AWS, Azure, and Google Cloud Platform with zero-downtime deployments.
AWSAzureGCP
Startup Mentoring
Guiding early-stage startups through technical strategy, product development, and scaling challenges. Focus on AI-first approaches and sustainable growth.
StrategyScalingAI-First
Additional Focus Areas
Building scalable backend APIs and microservices using Python frameworks
Implementing AI/ML solutions with fine-tuned models and RAG systems
Developing cloud-native AI/ML applications with zero-downtime deployments
Creating technical content and documentation for AI/ML best practices
Building autonomous AI agents and optimizing GenAI workflows
Focus on AI-first approaches and sustainable growth strategies