Remote: Yes. Prefer in person

Willing to relocate: YES

Technologies: Python, TypeScript, FastAPI, Next.js, React, PostgreSQL, pgvector, Redis, Apache Kafka, AWS, GCP, PyTorch, LLMs, RAG, Prompt Engineering

Résumé/CV: https://drive.google.com/file/d/1dhWtipC3WauUodrj3K0abG8rZn5...

Email: divyanshusharma17.work@gmail.com

Links: https://divyanshusharma.com | https://github.com/divyanshusharma1709

I am an AI/Full-stack Engineer with 3+ YoE focused on production AI pipelines, inference optimization, and high-precision RAG. Recently as a Founding Engineer at Cascade Intelligence (a16z speedrun), I re-architected a vector matching pipeline that tripled RFP match precision from 20% to 60%. I also built Elliot AI, a proactive companion utilizing hybrid RAG to guarantee <300ms context retrieval across 6+ months of history, and previously engineered an AI narration system for VR surgery syncing LLM inference with frame-accurate playback under 200ms latency.

My foundational infrastructure background includes scaling an async queue-based email system from 400K to 1.5M+ daily sends and driving $2.1M+ in annualized revenue impact through microservice A/B experimentation at Amazon. I am actively seeking senior or founding AI engineering roles to tackle massive system design challenges and build core agentic frameworks, and I require a STEM-OPT transfer (no sponsorship cost).

Technologies: Python, TypeScript, FastAPI, Next.js, React, PostgreSQL, pgvector, Redis, Apache Kafka, AWS, Docker, PyTorch, LLMs, RAG, Prompt Engineering

Résumé/CV: https://drive.google.com/file/d/1GN2xjvBOpnON2wI0Heud4uiAMuj...

Email: divyanshusharma17.work@gmail.com

Portfolio: https://divyanshusharma.com

AI/Full-stack Engineer with 3 years of experience across Amazon, NYU research, and high-growth startups. Currently building Elliot AI (https://elliotai.app), a production AI companion with hybrid RAG memory (pgvector + SQL scoring, <300ms retrieval across 6+ months of history), intent-based tool routing that cut LLM costs 68%, and voice I/O - serving 50+ daily active sessions.

Previously at Amazon, where I drove $2.1M+ in annualized revenue impact through A/B experimentation across microservices. Before that, scaled a startup's email platform from 400K to 1.5M+ daily sends. Published in IEEE ICIP 2021 on zero-shot action recognition.

Looking for AI engineer / applied AI / full-stack roles at startups building LLM-powered products. I've shipped RAG pipelines, inference optimization, and LLM-powered OCR in production. Need STEM-OPT (no sponsorship cost to employer).

GitHub: https://github.com/divyanshusharma1709

Willing to relocate: Yes (within the US)

Technologies: Python, TypeScript, FastAPI, Next.js, React, PostgreSQL, pgvector, Redis, Apache Kafka, AWS, Docker, PyTorch, LLMs, RAG, Prompt Engineering

Résumé/CV: https://drive.google.com/file/d/1GN2xjvBOpnON2wI0Heud4uiAMuj...

Email: divyanshusharma17.work@gmail.com

Portfolio: https://divyanshusharma.com

AI/Full-stack Engineer with 3 years of experience across Amazon, NYU research, and high-growth startups. Currently building Elliot AI (https://elliotai.app), a production AI companion with hybrid RAG memory (pgvector + SQL scoring, <300ms retrieval across 6+ months of history), intent-based tool routing that cut LLM costs 68%, and voice I/O - serving 50+ daily active sessions.

Previously at Amazon, where I drove $2.1M+ in annualized revenue impact through A/B experimentation across microservices. Before that, scaled a startup's email platform from 400K to 1.5M+ daily sends. Published in IEEE ICIP 2021 on zero-shot action recognition.

Looking for AI engineer / applied AI / full-stack roles at startups building LLM-powered products. I've shipped RAG pipelines, inference optimization, and LLM-powered OCR in production. Need STEM-OPT (no sponsorship cost to employer).

GitHub: https://github.com/divyanshusharma1709

Remote: No

Willing to relocate: Yes (within the US)

Technologies: Python, TypeScript, FastAPI, Next.js, React, PostgreSQL, pgvector, Redis, Apache Kafka, AWS, Docker, PyTorch, LLMs, RAG, Prompt Engineering

Résumé/CV: https://divyanshusharma.com

Email: divyanshusharma17.work@gmail.com

AI Engineer with 3 years of experience across Amazon, NYU research, and high-growth startups. Currently building Elliot AI (https://elliotai.app), a production AI companion with hybrid RAG memory (pgvector + SQL scoring, <300ms retrieval across 6+ months of history), intent-based tool routing that cut LLM costs 68%, and voice I/O - serving 50+ daily active sessions.

Previously at Amazon, where I drove $2.1M+ in annualized revenue impact through A/B experimentation across microservices. Before that, scaled a startup's email platform from 400K to 1.5M+ daily sends. Published in IEEE ICIP 2021 on zero-shot action recognition.

Looking for AI engineer / applied AI / full-stack AI roles at startups building LLM-powered products. I've shipped RAG pipelines, inference optimization, and LLM-powered OCR in production. Need STEM-OPT (no sponsorship cost to employer).

GitHub: https://github.com/divyanshusharma1709