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Yash Padam

@yashpadam

AI/ML engineer at EY building production AI systems, including an accident response platform that cut dispatch decisions to seconds.

India

Message

What I'm looking for

I’m looking for an AI/ML role where I can build real-world AI products and take ideas from concept to production. I’m especially interested in Generative AI, LLMs, RAG, computer vision, and agentic systems. I’d like to work with a strong team, take ownership of meaningful projects, and keep growing as an engineer.

At EY, I developed and deployed five AI-driven projects across consulting engagements, from architecture and AI integration through backend development, testing, and cloud deployment. I translated client requirements into production-style solutions using LLMs, VLMs, RAG, real-time voice AI, and deterministic decision engines.

For Transport Sahayak, an AI-powered accident response platform, I worked on real-time voice AI, severity assessment, responder matching, and dispatch workflows. The platform reduced incident-to-dispatch decision time from about 6.5 minutes to 30–40 seconds.

At CAIR, DRDO, I developed a voice-enabled GIS system that turned natural-language commands into real-time geospatial operations using Python, QGIS, and OpenAI Whisper. I’ve also worked on privacy-focused offline AI workflows and built Rail Kavach, an obstacle-detection project that achieved about 92% accuracy and placed first among 500+ participants.

Experience

Work history, roles, and key accomplishments

Current

Technology Consulting Intern

Current

Jun 2026 - Present (3 months)

Developed and deployed 5 AI-driven projects, owning architecture, AI integration, backend development, testing, cloud deployment, and technical delivery. Translated client requirements into production-style AI solutions using LLMs/VLMs, RAG, real-time voice AI, and deterministic decision engines.

LLM VLMs RAG Voice AI Deterministic Algorithms Backend Development cloud deployment Testing Client Communication

AI Development Intern

CAIR, DRDO

Jun 2025 - Aug 2025 (2 months)

Developed a voice-enabled GIS system using Python, QGIS, and OpenAI Whisper, converting natural-language commands into real-time geospatial operations. Built NLP, data-processing, and secure RAG pipelines using LangChain, BeautifulSoup, and Selenium, enabling offline AI workflows and automated data extraction.