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SAI RAM VARMA Budharaju

Mid-level Software Engineer specializing in backend, distributed systems, and ML-integrated platforms

UberUniversity of FloridaBellevue, WA5 Years ExperienceMid LevelWorks On-Site

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About

Built and shipped production AI systems spanning customer support automation at Uber, privacy-preserving federated health modeling on iOS, and an open-source semantic search layer for Postgres. Stands out for combining strong LLM/product instincts with rigorous eval design, measurable production impact, and zero-to-one execution across backend, mobile, and developer infrastructure.

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Key Strengths

  • Shipped production AI agent at Uber for refund resolution
  • Improved automated resolution rate from 38% to 70%
  • Reduced average handling time by roughly 3x while keeping reopens flat
  • Strong judgment on business-aligned AI metrics and anti-gaming evaluation design
  • Experienced in failure analysis and guardrail design for LLM systems
  • Built end-to-end iOS and backend federated learning product
  • Deep privacy-preserving ML expertise with on-device training and federated averaging
  • Strong mobile reliability instincts under constrained observability
  • Improved NL-to-SQL success rate from 60% to low 90s
  • Reduced LLM latency and token cost via planner/generator split and tool-based schema lookup
  • Zero-to-one product scoping with disciplined MVP focus
  • Open-source builder with developer tooling and agent integration experience

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Experience

Software EngineerUber · Feb 2026 – Present
Software DeveloperNortheastern University · Mar 2025 – Dec 2025
OPS / Software DeveloperUniversity of Florida · May 2024 – Feb 2025
Assistant Systems EngineerTCS · Oct 2020 – Apr 2022
Software DeveloperAirbnb · May 2019 – Sep 2020

Education

University of Floridamaster, Computer Science (2024)

Languages

English

Publications

1 publication

Federated LearningLarge Language ModelsLoRA Fine-tuningPrivacy-preserving Machine Learning

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SAI RAM VARMA BudharajuMid-level Software Engineer specializing in backend, distributed systems, and ML-integrated platforms