Open to opportunities

SAURABH GAUR

@saurabhgaur2

Message

I build production AI systems, RAG products, and full-stack SaaS platforms.

India

Message

What I'm looking for

I'm seeking senior AI engineering, full-stack, or LLM-focused roles where I can own systems end to end, deploy production products, and apply strong programming fundamentals to RAG, multi-agent workflows, and LLM evaluation.

I've evaluated frontier LLM outputs for Scale AI's RLHF and preference-learning pipelines, assessing code generation, reasoning, instruction following, factual accuracy, and safety alignment.

Independently, I've shipped five production AI systems, including HireOS, a multi-agent resume intelligence SaaS; RAGForge, a hybrid document Q&A engine; and MakaanBook, an SSR property management platform. I build end-to-end with Python, FastAPI, LangGraph, LangChain, Gemini/OpenAI/Claude APIs, TypeScript, Supabase, and PostgreSQL.

My programming foundation began with C++ in 2016, and I bring hands-on ownership from architecture through deployment. I'm Microsoft AZ-400 certified with a score of 900/1000.

Experience

Work history, roles, and key accomplishments

Current

Independent AI Product Developer

Current

saurabhgaur.world

May 2026 - Present (3 months)

Designed and shipped 5 production AI systems end-to-end, including hybrid RAG pipelines, multi-agent SaaS, SSR full-stack applications, and a hardware-monitoring daemon. Built deployable, revenue-generating AI products using LangGraph, LangChain, FastAPI, and Gemini/Claude APIs.

LangGraph Lang Chain fastAPI Gemini API Claude RAG Systems Multi Agent Systems Full Stack DevOps Azure

AI Code & Reasoning Evaluator

Scale AI

May 2025 - May 2026 (1 year)

Evaluated frontier LLM outputs across code generation, reasoning, and instruction-following tasks for RLHF and preference-learning training pipelines. Applied structured evaluation rubrics to assess response quality, factual accuracy, code correctness, logical consistency, and safety alignment.

LLM Evaluation RLHF Pipeline Prompt Engineering Code Review Reasoning Instruction Following Quality Assurance

Independent Technical Development

Self-Directed Study

Apr 2021 - Jun 2024 (3 years 2 months)

Pursued a self-directed transition from mechanical engineering into software and AI engineering, building hands-on proficiency in Python, C++, and blockchain fundamentals through continuous independent study and project-based learning.

Python C++Blockchain Machine Learning