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aditya pamar

@adityapamar

I'm an AI Engineer building and deploying multi-agent AI applications with FastAPI, async Python, and cloud infrastructure.

United States

Message

What I'm looking for

I’m looking for an AI Engineer role where I can build production-grade multi-agent systems and FastAPI backends, optimize latency, and deploy on Azure/AWS to deliver measurable business impact.

I build and deploy AI-based applications that solve real business problems, from multi-agent backends to full products. As an AI Engineer at FairQuanta, I developed FastAPI-powered AI agents, created high-performance async workflows, and implemented Pydantic validation, SQLAlchemy persistence, logging, and automated testing for production reliability.

I’m especially proud of shipping impactful AI projects—Microsoft Imagine Cup 2026 Semi-Finalist with Dustinel AI, a computer-vision worker safety platform using PPE compliance detection, fatigue scoring, and real-time safety alerts. I’ve also delivered major performance improvements (about 1000x latency reduction via caching and backend redesign) and backend optimization (~50x) by refactoring FastAPI endpoints, removing unnecessary deepcopy usage, and addressing hidden latency causes.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer (FastAPI)

Current

FairQuanta

Mar 2025 - Present (1 year 6 months)

Developed and deployed FastAPI-based AI agents with async Python workflows, enforcing strict Pydantic validation and reliable production logging. Reduced intelligence API latency from 8–24 seconds to 4–20 ms and improved FastAPI backend performance by ~50x through caching, async refactors, and latency issue fixes.

fastAPI Pydantic SQLAlchemy Pytest Caching and Request Fingerprinting Azure OpenAI