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salah parbhulkar

@salahparbhulkar

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I build backend APIs and AI-powered systems that automate real-world workflows.

United Arab Emirates

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What I'm looking for

I'm looking to build reliable backend and AI-powered systems, solve practical technical problems, and grow through hands-on work with scalable applications, APIs, LLMs, and real-world integrations.

I've built AI-powered systems and backend applications across Lockheed Martin CISS, Smart Navigation Systems, and enterprise technology internships in the UAE. At Lockheed Martin CISS, I developed Unity simulations for product demonstrations and reduced game-scenario generation from minutes to seconds using constrained LLM generation with GPT-OSS-20B and Ollama.

I build practical APIs and integrations with Python, FastAPI, Flask, REST APIs, SQL, and Oracle Fusion HCM. I've also implemented an agentic JSONPatch editing pipeline for natural-language scenario changes, real-time Flask APIs, BLE integrations, ESP32 programming, and geospatial AI workflows in ArcGIS.

My projects include an offline LLM benchmarking system for evaluating latency, memory usage, and output quality across local models, plus predictive analysis of Titanic survival data. I enjoy building reliable, maintainable software that performs under real-world constraints.

Experience

Work history, roles, and key accomplishments

Interdisciplinary Research Intern

Lockheed Martin CISS

Oct 2025 - May 2026 (7 months)

Developed simulations for product demonstration systems using Unity Hub, added UI features, and built an AI-powered system with constrained LLM generation to automate game scenario creation, reducing generation time from minutes to seconds. Implemented an agentic editing pipeline using JSONPatch and integrated with a FastAPI API.

Unity C#Python fastAPI LLM Ollama JSON Patch AI