Rahul Kumar profile photo 1 on Tal

Rahul Kumar

Associate Software Engineer at Simplify3x Software Private Limited

Bengaluru

1+ year of work experience

Simplify3x Software Private Limited
Jul 20264 mosPresent

banglore

Simplify3x Software Private Limited
Jan 20266 mosJun 2026

Bengaluru, Karnataka, India

Copyright Integrity International
Mar 202511 mosJan 2026

Banglore

- Pipeline processes 30,000 images per machine per day at 98.4% accuracy across 30+ external system integrations for under ₹1,000 in daily compute cost. - Built an in-house scraping model, OpenCV and GCP Vision API classification layer, parallelised batch orchestration and failure recovery — zero recurring failures across 8 months. - Human review now touches only flagged cases, not the full volume of 40 employees doing manual work. Stack: Python · OpenCV · GCP Vision API · PostgreSQL · Docker · Batch Processing · Distributed Systems

Rahul’s AI Stack

claude code
claude code
codex
codex
notebooklm
notebooklm
notion
notion

Education

Christ University, Bangalore

Master of Computer Applications - MCA, Computer

Christ University, Bangalore

20242 yrs2026
Presidency College, Bangalore

Bachelor's degree In Computer Applications, Computer and Information Sciences and Support Services

Presidency College, Bangalore

20213 yrs2024

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Headline

Associate Software Engineer at Simplify3x Software Private Limited

About

I build production systems that solve problems nobody has automated yet. Walked into a company, said pay me after it works, and built a computer vision pipeline that now processes 30,000 images per machine per day at 98.4 percent accuracy across 30 plus systems for under 1,000 rupees in daily compute. It replaced a 10 plus year manual workflow and has run 8 months without a single recurring failure. Currently building at Simplify3x, a startup where I work directly with the founders shipped an AI evaluation platform end to end in under 2 days, own the API design standards the team uses, and talk to customers daily. Side of my desk: a live trading journal that pulls MT5 trade data without any paid API using custom MQL5 code and analyses trades against the trader's own strategy via a Gemini RAG pipeline. A personal life OS with 9 AI agents each grounded in independent RAG context, running entirely through Telegram. Both are live, public, and in production. Stack: Python, FastAPI, TypeScript, React, Next.js, PostgreSQL, MongoDB, Redis, Docker, GCP, AWS, OpenAI, Gemini, RAG pipelines, multi-agent orchestration. Based in Bangalore. MCA from CHRIST University. Looking for backend, full stack and AI engineering roles where the problems are real and the code matters.

Location

Bengaluru

AI stack

claude code

codex

notebooklm

notion

Work experience

Associate Software Engineer at Simplify3x Software Private Limited, Jul 2026 - Present · 4 mos, banglore

Software Engineer Intern at Simplify3x Software Private Limited, Jan 2026 - Jun 2026 · 6 mos, Bengaluru, Karnataka, India

Software Engineer at Copyright Integrity International, Mar 2025 - Jan 2026 · 11 mos, Banglore, - Pipeline processes 30,000 images per machine per day at 98.4% accuracy across 30+ external system integrations for under ₹1,000 in daily compute cost. - Built an in-house scraping model, OpenCV and GCP Vision API classification layer, parallelised batch orchestration and failure recovery — zero recurring failures across 8 months. - Human review now touches only flagged cases, not the full volume of 40 employees doing manual work. Stack: Python · OpenCV · GCP Vision API · PostgreSQL · Docker · Batch Processing · Distributed Systems

Education

Master of Computer Applications - MCA, Computer, Christ University, Bangalore

Bachelor's degree In Computer Applications, Computer and Information Sciences and Support Services, Presidency College, Bangalore