Yeluru Nitish

Co-Founder

San Francisco, California, United States2 yrs 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Sole technical owner for multiple early-stage SaaS startups.
Achieved sub-100ms UI update latency for real-time applications.
Designed LLM evaluation framework reducing iteration cycles by 60%.

Stackforce AI infers this person is a Full-Stack Engineer with a strong focus on AI and SaaS solutions.

Contact

yelurunitish006@gmail.com LinkedIn

Skills

Core Skills

Full-stack DevelopmentAi EngineeringCybersecurity

Other Skills

Software DesignReactTypeScriptFastAPIPipecatVapiDeepgramPrompt EngineeringData AnalysisNode.jsDatabase Management System (DBMS)Web Services APIComputer ForensicsCyber Threat Intelligence (CTI)Computer Science

About

I'm a full stack and AI engineer with 2+ years of experience — including a founding engineer role where I owned the entire product stack solo: React/Next.js frontends, FastAPI backends, real-time voice AI pipelines (Pipecat + Vapi + Twilio), LLM integrations, and GCP deployments. I don't just write code — I architect systems, make tradeoff decisions, and ship to production. That's a different level than most candidates at my experience level. What I build: → Frontend: React, TypeScript, Next.js — performant, accessible UIs from design to deployment → Full Stack: Node.js, Go, FastAPI, MongoDB, PostgreSQL — APIs that scale → AI Engineering: LLM pipelines, RAG systems, voice agents, agentic workflows, evaluation frameworks → Infrastructure: Docker, GCP, CI/CD — I deploy what I build Key projects: • Voice AI pipeline (Pipecat + Vapi + Deepgram + GPT-4o) — real-time agent with sub-500ms response latency • LLM Evaluation Dashboard — benchmarks output quality across 6 metrics • YourSRE — AI-assisted site reliability tooling Stack: React · TypeScript · Next.js · Node.js · Go · Python · FastAPI · MongoDB · PostgreSQL · Docker · GCP · LangChain · OpenAI · Anthropic API · Pipecat · Vapi Open to: Frontend Engineer · Full Stack Engineer · AI Engineer · Product Engineer Locations: NYC · SF · London · Berlin · Singapore · Remote Visa sponsorship + relocation required. I move fast, interview fast, and start fast. → DM me or email : yelurunitish@gmail.com

Experience

2 yrs 7 mos

Total Experience

1 yr 6 mos

Average Tenure

2 yrs 7 mos

Current Experience

Open source connect

Contributor

Jul 2025 – Jan 2026 · 6 mos · Remote · Remote

→ Shipped bug fixes and documentation improvements across 5+ open-source repositories — PRs reviewed and merged within 48hr average cycle time
→ Reviewed and provided actionable feedback on 20+ pull requests, improving code quality and reducing review round-trips for junior contributors
→ Integrated CI/CD pipeline improvements (GitHub Actions) that cut manual deployment steps for a 3-maintainer project, reducing release overhead by ~30 min/deployment

Full-Stack DevelopmentNode.js

Smartinternz

Full Stack Developer

May 2024 – Jul 2024 · 2 mos · Visakhapatnam, Andhra Pradesh, India · Remote

→ Designed and shipped a 4-role College Infrastructure Management System (faculty, student, lab assistant, admin) — digitizing equipment requests, fault reporting, and maintenance tracking across 10+ departments
→ Implemented role-based access control, image-upload fault reporting, and automated low-stock alerts — reducing manual admin overhead by eliminating paper-based workflows
→ Built with full MERN stack (MongoDB · Express · React · Node.js) — responsive UI, modular architecture, deployed to production within a 3-month internship window

Database Management System (DBMS)Web Services APIFull-Stack Development

Stealth startup (nda)

Founding Full-stack Developer

Nov 2023 – Present · 2 yrs 7 mos · San Antonio, Texas Metropolitan Area · Remote

→ Sole technical owner for 3 early-stage SaaS startups — designed and shipped full-stack systems from zero to production on Vercel/GCP, each within 8-week engagement cycles
→ Built multi-role admin dashboards and transactional pipelines serving 5,000+ MAU at 99.9% uptime — handling role-based access, audit logging, and concurrent write safety.
→ Built LLM evaluation framework benchmarking response quality across 6 dimensions — cut prompt engineering iteration cycles by ~60% and enabled data-driven model selection between GPT-4o and Claude.
→ Shipped React/TypeScript frontend with real-time WebSocket UI for live voice session monitoring — achieved sub-100ms UI update latency.
→Designed full architecture spanning Next.js frontend, FastAPI backend, and real-time STT→LLM→TTS pipeline using Pipecat, Vapi, and Deepgram; achieved sub-500ms end-to-end latency in production
→ Eliminated a class of data-consistency bugs across distributed services by introducing deterministic backend logic and idempotent retry protocols — reducing incident response time by ~40%

Software DesignFull-Stack DevelopmentAI Engineering

Eduskills foundation

Cyber Security Analyst

May 2023 – Jul 2023 · 2 mos · India

→ Conducted threat modeling and vulnerability scans on 5+ web applications — identified and remediated OWASP Top 10 issues including broken auth and insecure direct object references
→ Implemented role-based access controls and audit logging for sensitive user actions across 2 internal systems, establishing a security baseline adopted by the dev team post-internship

Computer ForensicsCyber Threat Intelligence (CTI)Cybersecurity