Summary
Ayush Ranjan is a backend developer based in the San Francisco Bay Area with 3.5+ years of hands-on backend production experience and a broader 8-year software engineering background spanning Java systems, Spring Boot, and distributed data workflows. He combines industry experience at Capgemini (including performance optimizations for automotive systems) with recent applied AI research at UC Santa Cruz, where he prototyped agentic RAG architectures, fine-tuned open-source LLMs, and built LangGraph multi-agent pipelines to reduce hallucinations in campus chatbots. Ayush has delivered low-latency multimodal prototypes for edge devices—integrating Whisper, FFmpeg, custom vision models, and Pinecone—demonstrating an ability to bridge research and production constraints. He’s comfortable across the stack from database schema and indexing strategies to multithreaded memory managers and retrieval-routing systems, and he’s earned recognition for internal innovation at Mercedes projects. With an MS in Computer Science (3.92 GPA) from UCSC and prior leadership of full-stack intern teams, he blends rigorous academic grounding with pragmatic product-focused engineering.
8 years of coding experience
2 years of employment as a software developer
All India Senior School Certificate Examination (AISSCE), All India Senior School Certificate Examination (AISSCE) at Shiv Jyoti Public School
DAV Schools Network
All India Secondary School Examination, All India Secondary School Examination at Pitts Modern School - India
BTech - Bachelor of Technology, Information Technology, 8.03/10, BTech - Bachelor of Technology, Information Technology, 8.03/10 at Manipal University Jaipur
University of California Santa Cruz
Carmel School - India
English, Hindi, Maithili