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Sanjesh Singh

Mid-Level Software Engineer specializing in embedded RTOS and applied AI

University of Texas at AustinUniversity of Texas at AustinAustin, TX3 Years ExperienceMid LevelWorks On-Site

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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.

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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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Experience

Learning FacilitatorUniversity of Texas at Austin · May 2025 – Present
Software EngineerRice Lake Weighing System · Jun 2023 – Nov 2025

Education

University of Texas at Austinmaster, Computer Science (2026)
Western Universitybachelor, Computer Engineering (2023)

Skills

CC++PythonJavaJavaScriptKotlinHTMLCSSSQLMySQLPHPDjangoPyTorchNumPyPandas

Languages

English

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EducationEducation in Austin MetroCC++PythonJava

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Typically responds within 24 hours

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Sanjesh SinghMid-Level Software Engineer specializing in embedded RTOS and applied AI