Jitesh Gosar
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/work · Case studies

Problems, constraints, and the decisions between them.

Not a portfolio of screenshots. Each of these is written the way I would talk through it in an interview: what the actual constraint was, what I chose, and what the number came out as.

Sony India Software Center In internal testing

An agentic LLM pipeline that turns speech into structured decisions

Audio in, structured output out: fine-tuned transcription feeding a RAG-grounded discussion between specialist agents, with a schema that makes the result safe for downstream code.

LangChainWhisperRAGMulti-agentPython
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Pasona Tech, Osaka 85% across 30+ classes

Detecting CAD symbols nobody had labelled

A blueprint-reading system for construction cost estimation, trained entirely on synthetic data because the real labels did not exist and were never going to.

Mask R-CNNBlenderUnreal EngineOpenCVUnity ML-Agents
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Honda Research Institute, via L&T Technology Services, Tokyo 10+ research institutions

Three applications for a social robot, shipped to 10+ institutions

Emotion-aware remote control, a classroom mediator connecting Japan and Australia, and a real-time storytelling app, plus the simulation world that made testing them safe.

UnityC#ROSNLPLoRA fine-tuning
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AI systems and engineering. Bangalore based, Japan tested. Currently building things at the intersection of computer vision and cross-cultural delivery.

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