AI Engineer — ZUDU.AI

Fine-tuned a Tanglish-focused Large Language Model using Unsloth, optimizing multilingual understanding and inference efficiency. Benchmarked and evaluated Mistral, Gemma, and Qwen models on GCP VMs to identify the best-performing architecture for real-world deployment.

• Tanglish dataset curation & preprocessing
• LLM fine-tuning and evaluation pipelines
• Cloud-based training on Google Cloud Platform
• Comparative model performance analysis

Onsite · Chennai

ML Engineer — CellStrat

Built an AI-powered chatbot using RAG architecture with VectorDB, OpenAI, and AWS, significantly improving contextual response accuracy. Designed scalable REST APIs and applied advanced prompt engineering to enhance LLM output quality in production environments.

• Retrieval-Augmented Generation (RAG) pipelines
• Vector database design & optimization
• Prompt engineering for LLM reliability
• RESTful API integration with cloud services

Remote

150+ Hackathons — 6× Winner

Actively participated in 150+ hackathons, securing 6 wins and earning ₹6,08,000+ through innovative, high-impact solutions. Achieved top positions in two international and two national-level competitions, collaborating across diverse, fast-paced teams.

• Rapid prototyping under time constraints
• Cross-functional teamwork & leadership
• Real-world problem-solving using AI & ML
• Consistent top-tier performance at scale

Global

Indian Institute Of Technology

Bachelor of Science, Data Science

Madras, India

Sri Eshwar College Of Engineering

B.Tech, AI and Data Science

Coimbatore, India

Syed Ammal Higher Secondary School

HSC

Ramanathapuram

Mohamedia Higher Secondary School

SSLC

Ramanathapuram