Engineering Excellence
Production systems at Cisco, Empowered Margins and Darwinbox
Experience
AI & systems engineering across enterprise and startups
AI Project Engineer (Capstone)
Cisco
2024 • San Jose, CA
- •Built enterprise incident triage system using LLMs and FastAPI
- •Reduced triage latency; production-grade log triage assistant for network diagnostics
- •Designed FastAPI microservices with MongoDB and Docker for scalable deployment
AI Intern
Empowered Margins
2024 • Remote
- •Built agentic AI pipelines for Excel data extraction and semantic header mapping
- •85% reduction in manual processing through automated workflows
- •Multi-agent workflows for document processing
SDE 2
Darwinbox
2022 – 2024 • Hyderabad, India
- •Led RAG-based GenAI systems; reduced hallucinations by 95%
- •Built RAG-based AI chatbots used in production with high accuracy
- •Designed observability pipelines with real-time logs and dashboards
Skills
Tech stack and tools
Languages
Backend & APIs
GenAI / ML
Data & Infra
Education
Academic foundation in Computer Science
MS Computer Science
University of Colorado Boulder
GPA: 4.0
Aug 2024 – May 2026
Key Coursework
BE Electronics and Communication Engineering
BITS Pilani
Aug 2018 – May 2022
Key Coursework
All Projects
Systems, GenAI, and full-stack work
About
I'm an AI and Systems Engineer (MS CS, CU Boulder, 4.0 GPA) focused on building reliable systems at the intersection of backend engineering and applied AI. My work spans enterprise-scale systems at Cisco and fast-moving AI teams, where I've built production-grade LLM systems, RAG pipelines, and agentic workflows.
I focus on systems that reduce ambiguity and deliver measurable impact: observability, scale, and exactly-once semantics.