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Sanjesh Singh
Mid-Level Software Engineer specializing in embedded RTOS and applied AI
Austin, TXLearning Facilitator3 years experienceMid-LevelEducationEmbedded SystemsIndustrial Manufacturing
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About
Master’s student and Deep Learning teaching assistant who teaches LLM/VLM fine-tuning (including LoRA) and built a Hugging Face LLM fine-tuned for unit conversion, improving reliability by analyzing synthetic data and filling missing number-system conversion examples. Also implemented the Raft consensus protocol using gRPC in a distributed systems course with correctness validated by unit tests.
Experience
Learning FacilitatorUniversity of Texas at Austin
Software EngineerRice Lake Weighing System
Education
University of Texas at Austinmaster, Computer Science (2026)
University of Western Ontariobachelor, Computer Engineering (2023)
Key Strengths
- Hands-on LLM fine-tuning using synthetic data + SFT + rejection-sample fine-tuning
- Improved reliability by identifying dataset coverage gaps (e.g., missing binary/octal/hex conversions) and building analysis scripts
- Implemented Raft over gRPC with verified fault tolerance and correct leader election via unit tests
- Teaching/mentoring deep learning topics as a master's program TA
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