
Anupam
AI/ML Engineer & Lifelong Learner
"The future of AI is collaborative, contextual, and deeply human-centric."
Specializations
- LLMs, Generative and Agentic AI (LangGraph, LangChain, LLMs, RAG, autonomous agents)
- Deep learning, fine tuning hugging face transformer models for NLP/CV tasks
- Full-stack data science: From data pipelines to model deployment
- Statistical machine learning on tabular data
Key Skills & Expertise
- Generative AI & LLMs: Transformers, RAG, Agentic AI, LangChain, LangGraph
- Machine Learning & Deep Learning: PyTorch, Hugging Face, Pytorch Lightning, Scikit-learn, XGBoost, LightGBM, CatBoost
- Big Data & Distributed Computing: Hadoop, Spark, Databricks, Cloudera, ElasticSearch
- Software Engineering & System Design: Java, Scala, Python, REST APIs, Microservices
- DevOps & Cloud: Docker, Kubernetes, OpenShift
Recent Focus
- Building MCP (Model Context Protocol) servers and tools
- Using coding assistants/agents like Cline, Copilot for autonomous code planning + execution
- Designing RAG-driven assistants that understand and interact with real data
Philosophy & Approach
Beyond the code, I’m a technologist at heart and a philosopher in spirit — equally interested in meditation, psychology, and the human side of intelligence. I believe the future of AI is collaborative, contextual, and deeply human-centric.
Let's Connect
Always up for a chat about:
- Agent design patterns
- LLM orchestration
- Deep learning, data science
- Or how to build assistants that don’t just work — but vibe.
Let’s build something meaningful.