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Balaji-Kesavan/README.md

I'm Balaji Kesavan

AI Engineering Manager | Agentic AI Architect | FDE | M.Tech (AI & ML) @ IIT Jammu

About Me

  • 20+ years of Software Engineering experience

  • Engineering Manager leading AI and ML product teams

  • Specializing in:

    • Agentic AI
    • Multi-Agent Systems
    • RAG & GraphRAG
    • MCP Servers
    • AI Platforms
    • MLOps & LLMOps
    • Distributed Systems

  • Completed my Masters Exec - M.Tech in Artificial Intelligence & Machine Learning from IIT Jammu

Current Focus

🔭 Building Enterprise Agentic AI Platforms

🔭 Contributing to:

  • LangGraph
  • Kubeflow
  • Kubernetes
  • JAX

🔭 Research Areas:

  • Event Cameras
  • Computer Vision
  • Fog-Invariant Object Detection
  • Multi-Agent Systems

Technical Stack

Languages

Python | Java | SQL | Go | Bash

Agentic AI

LangGraph | CrewAI | AutoGen | MCP | LangChain | LlamaIndex

Machine Learning

PyTorch | TensorFlow | JAX | Hugging Face

Cloud

AWS | GCP | Azure

Containers

Docker | Kubernetes | Kubeflow

Databases

Neo4j | PostgreSQL | Pinecone | Weaviate | Qdrant

Featured Projects

Agentic RAG Platform

Enterprise-grade RAG platform using LangGraph, Neo4j and Vector Databases.

MCP Client & Server Framework

Model Context Protocol implementation for enterprise integrations.

Fine-Tuned Small Language Model

Cost-efficient enterprise SLM using QLoRA and PEFT.

AI Knowledge Graph Platform

GraphRAG solution using Neo4j and LLMs.

Research

EFIRL

Fog-Invariant Object Detection through Event-Guided Information-Invariant Representation Learning

Research focusing on Event Cameras and Robust Computer Vision.

Certifications

Connect With Me

LinkedIn: www.linkedin.com/in/balaji-k7

Portfolio:

Email: balajik7.ai@gmail.com

Open Source Goals 2026-2027

  • Publish AI Research at CVPR

Open Source Contributions

  • LangGraph Contributor (In Progress)

  • Kubeflow Contributor (In Progress)

  • Kubernetes Contributor (In Progress)

  • JAX Contributor (In Progress)

Popular repositories Loading

  1. Node2Vec_pyTorch_OCFR Node2Vec_pyTorch_OCFR Public

    Integration of Node2Vec with PyTorch: Node embeddings generated by Node2Vec can serve as input features to a neural network. Converting embeddings to PyTorch tensors is essential for compatibility.

    Python

  2. Node2Vec_Python_OCFR Node2Vec_Python_OCFR Public

    Using Node2 vec to model using python Python's node2vec package: A straightforward implementation. Gensim: Often used for training Word2Vec models, which can be adapted to train Node2Vec embeddings.

    Python

  3. GraphRAG_Neo4J GraphRAG_Neo4J Public

    Forked from neo4j-graphacademy/llm-fundamentals

    1. Embeddings and vector indexes, usage in GenAI, and how to use them in Neo4j. RAG (Retrieval Augmented Generation) and how GraphRAG builds on it to provide a graph-based approach to providing con…

    Jupyter Notebook

  4. mini-omni mini-omni Public

    Forked from gpt-omni/mini-omni

    open-source multimodel large language model that can hear, talk while thinking. Featuring real-time end-to-end speech input and streaming audio output conversational capabilities.

    Python

  5. HERMES HERMES Public

    Forked from joslefaure/HERMES

    To know more on Official Code for BREASE (ECCVW'24) and HERMES

    Python

  6. generative-ai-spaces generative-ai-spaces Public

    Forked from aishwaryanr/awesome-generative-ai-guide

    A one stop repository for generative AI research updates, interview resources, notebooks and much more!