Tanmay Patil

I'm an AI/ML Engineer who enjoys building things that actually work in production not just demos. Over the past couple of years I've been deep in Generative AI: building RAG pipelines, wiring up LLM agents, automating workflows, and shipping full-stack products with Python, FastAPI, and React. I like moving fast, learning on the go, and finding practical ways to use AI to solve real problems.

AI Trainee at American Hairline (2026-03 – Present)

• Built an automated candidate sourcing pipeline using n8n and OpenRouter LLMs, reducing manual HR screening time by filtering and enriching candidate profiles at scale.
• Developed an AI Meeting Assistant that transcribes meetings via AssemblyAI, generates structured summaries, and produces actionable to-do lists; deployed on Vercel with a React frontend.
• Designed a Voice-Based AI Interview Platform with dynamic question generation, real-time AI-led interviews, malpractice detection (tab-switch tracking), and automated candidate scoring reports.
• Tech Stack: LLMs (OpenRouter), n8n, AssemblyAI, React.js, REST APIs, AI Agents, Vercel

AI Developer Intern at Arkham Archives (2025-06 – 2025-09)

• Built LLM-powered chatbot systems using Hugging Face Transformers to handle automated query resolution and customer support workflows.
• Engineered prompt optimization strategies that improved contextual relevance and response consistency across multi-turn conversations.
• Collaborated with the team via Git/GitHub in an agile setup, contributing to code reviews and iterative feature releases.

Bachelor of Technology in Artificial Intelligence & Machine Learning – ALDEL Institute's St. John's College of Engineering and Management (2022-11 – 2026-06)