Vigneshwaran P

Vigneshwaran P AI & Data Science Architect

Transforming Research Papers into Real AI Applications
Large Language Models Computer Vision Generative AI

About The Researcher

My research foundation is built on a strong understanding of seminal research papers, specifically the "Attention Is All You Need" paper.

I possess advanced knowledge of Multi-Head Attention mechanisms and modern optimization techniques including MQA (Multi-Query Attention), GQA (Grouped-Query Attention), MLA (Multi-Head Latent Attention), and FlashAttention .

I specialize in comprehensive LLM Architecture design, covering the entire pipeline from pre-training and fine-tuning and deployment. My work extends to building sophisticated Generative AI and Agentic AI systems that solve complex problems with efficiency and precision.

8+
Research Projects
LLM
Architect
ML/DL
Specialization
Topmate
Mentor
Technical Arsenal

Research & Dev Stack

Deep Learning

CNN RNN LSTM GANs Autoencoders Transformers

Generative AI

LangChain RAG LlamaIndex Prompt Eng Embeddings

Agentic AI

LangGraph CrewAI AutoGen

Core & Frameworks

Python PyTorch TensorFlow Pandas NumPy

MLOps & Tools

MLflow TensorBoard Streamlit Git SQL

LLOps

LangSmith Arize Phoenix Evaluation Fine-tuning vLLM
Innovation Lab

Featured Projects

Hover over cards to see the research focus. Each project bridges theory with practical implementation.
LLM Architecture

LLM From Scratch

Built a Transformer-based Large Language Model including tokenizer, embeddings, and attention blocks.

  • Pre-training
  • PyTorch Implementation
NLP/Transformer

Attention Mechanism

Implementation of the self-attention layer from "Attention is All You Need" paper.

  • Key, Query, Value
  • PyTorch
RAG

Medical Chatbot

Retrieval Augmented Generation system for medical documents using FAISS & Groq.

  • LlamaIndex
  • Context-Aware
Real Estate Prediction