# Sahil A.

> Building AI systems for production and not just demos | AI Engineer & Backend Engineer | LLMs, RAG, Multi-Agent Systems in Production | Python, FastAPI, LangGraph, LangChain, Vector DBs, Postgres, Docker

Location: United States, United States
Profile: https://flows.cv/sahila

I have built production AI systems, the kind that survive contact with real users, real data, and real latency budgets. 

Currently AI Engineer on the founding team at Ultra Ops, where I own backend and infrastructure for LLM-powered products: RAG pipelines, multi-agent orchestration, FastAPI services, and the unglamorous reliability work that makes AI actually shippable.A few things I've built recently: • Launch Jury: a multi-agent B2B buying-committee simulator grounded in real Reddit signals (6 stakeholder personas, evidence-backed verdicts); Demo: https://www.loom.com/share/52199cd05ea846f7a934c652ead05118Open to: AI Engineer, Backend Engineer, ML Engineer, and Founding Engineer roles (US, on-site/hybrid/remote). If you're building applied AI products and need someone who can own the system end-to-end, let's talk.

## Work Experience
### Artificial Intelligence Engineer @ Ultra Ops
Jan 2026 – Present
• Developed a robust backend using FastAPI for an AI system that interprets HVAC and electrical blueprints.  
• Designed multi-agent workflows with LangGraph to extract room data and estimate costs with validation checks.  
• Integrated Ollama hosted models for blueprint segmentation and extraction, ensuring quality through human evaluation.  
• Achieved a significant reduction in proposal generation time from days to minutes through automation.

### Artificial Intelligence Engineer @ Easley-Dunn Productions, Inc.
Jan 2025 – Jan 2025
• Designed game AI utilizing fuzzy logic for realistic actions and context awareness.  
• Implemented ScriptableObjects and Prefab-based systems to enhance gameplay dynamics.  
• Led comprehensive documentation for the decision engine, detailing perception and decision evaluation processes.

### Teaching Assistant @ The Pennsylvania State University
Jan 2023 – Jan 2025
• Supported courses in Python Programming, Data Structures and Algorithms, and Theory of Computation at The Pennsylvania State University.  
• Assisted students with debugging and assignments to enhance their understanding of core programming concepts.  
• Fostered a collaborative learning environment, promoting student engagement and academic success.


## Education
### Master of Science in Computer Engineering
Penn State University

### Bachelor of Engineering in Computer Engineering
University of Mumbai


## Contact & Social
- LinkedIn: https://linkedin.com/in/sahil-adivarekar
- Portfolio: https://sahil-adivarekar-portfolio.vercel.app/
- GitHub: https://github.com/Sahiladiv
- Portfolio: https://sahil-adivarekar-portfolio.vercel.app

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Source: https://flows.cv/sahila
JSON Resume: https://flows.cv/sahila/resume.json
Last updated: 2026-04-17