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vaibhavnayak30/README.md

Hi, I'm Vaibhav Nayak 👋

Sr. AI/ML Engineer @ Autodesk | SDE-3 | 7+ years in AI/ML | GenAI, Computer Vision, MLOps Enthusiast

🌟 About Me

With 7+ years of experience in AI/ML engineering, I specialize in building scalable, production-grade solutions across computer vision, NLP, and MLOps. At Autodesk (SDE-3), I lead key initiatives in Generative AI, designing and deploying end-to-end ML pipelines that enhance performance, reliability, and operational efficiency.

🔧 My Expertise

  • Deep Learning: Building custom models from scratch with PyTorch & PyTorch-Lightning — architecture design, training loops, and optimization strategies.
  • GenAI & NLP: Developing RAG-based chatbots and fine-tuning transformer models using PEFT techniques like LoRA/QLoRA.
  • MLOps & DevOps: Cloud-native orchestration with Docker, Kubernetes, and Terraform — scalable, reproducible deployments.
  • Languages: Python, Go
  • Specialties: Computer Vision, Generative AI, ML Pipelines, Model Optimization

🚀 What I'm Working On

  • Leading GenAI projects at Autodesk
  • Designing robust, production-ready ML systems
  • Exploring efficient model fine-tuning techniques & scalable infrastructure

📫 Connect With Me

âš¡ Fun Fact:
I love turning emerging AI research into practical, real-world solutions—bridging the gap between experimentation and production!

Pinned Loading

  1. frontera-health-assignment frontera-health-assignment Public

    This repository consists of code base for the take home assignment which asynchronously process images to predict whether or not an image has a dog in it or not.

    Python

  2. mcp-gitHub-agent mcp-gitHub-agent Public

    Lang graph based AI agent using MCP server to query github repository

    Python 1

  3. next-tool-recommender next-tool-recommender Public

    Tool Action Predictor with Transformer and Semantic Embeddings. This project develops a sophisticated AI model to predict the next likely action in a sequence of user tool usages (e.g., "cut," "cop…

    Jupyter Notebook

  4. mcp_in_golang mcp_in_golang Public

    An implementation of the Model Context Protocol (MCP) in Go — a lightweight, extensible server designed for managing and serving context-aware models in distributed systems.

    Go

  5. llm_finetuning llm_finetuning Public

    This repository offers concise code for LLM fine-tuning to efficiently adapt pre-trained models. It covers key LLM fine-tuning techniques including LoRA and QLoRA and other PEFT methods for adaptin…

    Jupyter Notebook

  6. mixture_of_experts mixture_of_experts Public

    This repository contains clean, modular implementations of different Mixture-of-Experts (MoE) architectures, including Switch Transformer-style MoE and beyond. The goal is to provide reference code…

    Jupyter Notebook