Machine Learning Engineer

Summary

I specialize in the end-to-end development of Large Language Models (LLMs) and Multi-Agent systems, with a proven track record of architecting scalable solutions using the Model Context Protocol (MCP) and advanced RAG pipelines.

My technical core includes:
1. LLM Optimization & Deployment: Expert in fine-tuning models (Qwen, Mistral) using Axolotl, and deploying high-performance vLLM inference endpoints on AWS SageMaker, achieving latency reductions of up to 35%.

2. Generative AI & Computer Vision: Strong hands-on experience with Diffusion models, Stable Diffusion, and Transformer architectures for tasks ranging from synthetic face generation to medical image classification.

3. Agentic Frameworks: Currently designing complex orchestration workflows for specialized RAG agents, focusing on dynamic routing and context sharing for autonomous task delegation.

Engineering Excellence: Proven ability to deliver high-impact results, including securing 4th place globally in the FRCSyn Challenge @WACV

Expectations

As a Masters graduate from IIT Mandi with hands-on experience at industry leaders like OpenAI and Gupshup, I am entering the job market as a highly specialized ML Research Engineer. I would prefer working remotely, but a hybrid setup from either Bangalore, Gurgaon, or Noida offices would also be fine by me. A good work culture is something that is non negotiable.

Employment Preferences

Expected Base Salary

*,*00,000 INR

Expected Total Compensation

*,*00,000 INR

Academic Degree

Experience

Skills

• Python
• MachineLearning
• AgenticAI
• LLM
• MLOPS
• GenerativeAI