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$ whoami

name: Karamjeet Gulati
location: San Francisco, CA
education: M.S. Computer Science @ UC Davis (3.8 GPA)
focus: AI Agents, Multi-Agent Orchestration, Distributed Systems
status: Open to Software Engineer roles

Experience

  Software Engineer, AI Forward Deployed

Nov 2025 — Present   |   San Francisco, CA

Building AI-powered testing infrastructure that ships faster with fewer bugs.

  • Built fullstack AI testing platform (React, TypeScript, Node.js, PostgreSQL) — 72% reduction in manual QA hours
  • Engineered Playwright test automation framework with self-healing capabilities — 1,200+ test cases/deployment, 58% less maintenance
  • Designed RESTful APIs and CI/CD pipelines for test orchestration across multi-tenant environments

  Founding Engineer, AI Platform

Jan 2024 — Apr 2025   |   San Francisco, CA

First engineer. Built the autonomous browser framework from zero to production.

  • Architected autonomous browser agent framework (TypeScript, Next.js) — natural language to browser actions with multi-agent orchestration
  • Shipped Chrome extension + MCP framework — 79.2% reliability, 400+ monthly users, 65% less manual scripting
  • Launched distributed GPU inference on Kubernetes k3s — 5x throughput on SDXL, 42% latency reduction (NVIDIA 4070Ti Super)

  Software Engineer

Feb 2022 — Jul 2023   |   India

Backend systems and data infrastructure for banking at scale.

  • Developed 3 internal banking web apps with MVC architecture (React, Node.js, AWS) — 30% faster dev cycles
  • Optimized 54 data migration templates across Oracle & SQL Server — 87% faster extraction
  • Led database optimization (schema design, stored procedures, indexing) — 45% query performance improvement

Education

University of California, Davis

M.S. in Computer Science   3.8 GPA   |   2023 — 2025

SRM University, India

B.Tech in Computer Science   3.5 GPA   |   2018 — 2022


Tech Stack

Languages

Python TypeScript JavaScript C++

Frontend & Backend

React Next.js Node.js Vue.js PostgreSQL Oracle

AI / ML

PyTorch TensorFlow LangChain HuggingFace Keras

Infrastructure & DevOps

AWS Kubernetes Docker Playwright GitHub Actions


Impact by the Numbers

Metric Result
Manual QA hours eliminated 72%
Test cases automated per deployment 1,200+
Multi-agent orchestration reliability 79.2%
Monthly active users (Chrome extension) 400+
GPU inference throughput increase 5x
Inference latency reduction 42%
Data extraction time reduction 87%
Query performance improvement 45%

GitHub Stats

Karamjeet's github activity graph


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