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Yash Mahajan - EG-RSCA Research Fellow (UROC) in Fullerton, CA

Yash Mahajan

Junior Software Engineer specializing in AI, full-stack development, and applied ML

California State University, FullertonCalifornia State University, FullertonFullerton, CA2 Years ExperienceJunior LevelWorks Remote

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About

AI/full-stack product builder who has shipped production agentic systems in both customer support analytics and medical claims automation. They combine React/Next.js frontends with Python-based async backends and LLM orchestration, delivering measurable outcomes like 60% cost savings, 40% less manual review, and reducing claims processing from 30 minutes to 20 seconds.

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Key Strengths

  • End-to-end ownership of full-stack AI products
  • Built scalable async AI pipelines with FastAPI, Celery, Redis, and PostgreSQL
  • Strong LLM systems design with structured prompts, agent pipelines, and validation layers
  • Production AI monitoring and regression detection using LangSmith
  • Applied human-in-the-loop design in high-risk healthcare workflows
  • Rapid MVP execution in ambiguous early-stage environments
  • Delivered 60% cost reduction and 40% less manual review time for call analysis
  • Reduced medical claims processing from 30 minutes to 20 seconds at $0.026 per claim
  • Improved claim classification reliability back to 95% confidence after regression
  • Practical frontend-to-backend product delivery with React/Next.js and Python APIs

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Experience

EG-RSCA Research Fellow (UROC)California State University, Fullerton · Jan 2026 – Present
Graduate Research AssistantCalifornia State University, Fullerton · Aug 2025 – Present
Software Developer InternPesh Group · Jan 2024 – Aug 2024internship
Data Analyst InternNexus Infosec · Mar 2023 – May 2023internship

Education

California State University, Fullertonmaster, Computer Science (2026)
Savitribai Phule Pune Universitybachelor, Computer Engineering (2024)

Languages

English

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Yash MahajanJunior Software Engineer specializing in AI, full-stack development, and applied ML