About Me

I build AI systems that work in production — not demos. I'm Abhijeet Kadam, Full Stack AI Engineer at AEOS Labs (Sept 2025 – Present), where I ship distributed backends, AI automation pipelines, and cloud infrastructure on Azure. Most recently: an autonomous PR review agent that posts inline GitHub suggestions, and ARIA — a multipurpose AI voice agent for real-time telephony — both running in production.

Background

I hold a BTech in Electronics & Telecommunications from VIIT with 8.93 CGPA, graduated May 2025. That path went from circuits to full-stack web to AI-augmented systems — automating RFQs that used to take 48 hours, building multipurpose voice agents (including ARIA) for real phone calls, and shipping a PR review bot that operates across repositories without human intervention.

What I focus on

• Distributed backends and job queues — BullMQ + Redis + KEDA powering RFQ automation at AEOS
• AI pipelines — 3-stage GPT review in BugBot, ARIA dual-architecture voice stack with Gemini Live
• Developer experience: TypeScript monorepos, CI/CD to Azure Container Apps, code review tooling
• Interfaces that stay fast whether web or telephony — sub-800ms voice response latency in production

Beyond the keyboard

I recharge by exploring nature, cooking, and keeping up with engineering blogs. Diverse interests feed how I design systems — practical, calm under load, and easy for others to extend.

I'm open to meaningful collaborations. Reach out via the contact page or say hi in the AI chat — let's build something solid.