Rahul Gupta profile photo 1 on Tal

Rahul Gupta

Engineering @OnePay | Ex-Headout | Ex-ula | IIT Dhanbad

Bengaluru

6+ years of work experience

OnePay
May 20251 yr 7 mosPresent

Bengaluru, Karnataka, India

— Leading a cross-functional team building a microservice-based onboarding platform from the ground up, setting architecture direction and using AI-assisted development (Cursor + Claude) to accelerate delivery while improving p95 latency from 2–3s to 500ms. — Owning the technical roadmap for Builder Card onboarding, a system now serving 1M+ banking users, balancing reliability, scalability, and extensibility trade-offs. — Led design and delivery of a bespoke partner onboarding solution integrating Walmart and Workday, reducing partner integration time by 40% through close stakeholder alignment across partner engineering teams. — Designed a state-machine–based flow orchestrator managing 10+ onboarding states, built specifically for extensibility across future partner and product types. — Set technical standards for the team, including code review practices, CI quality gates, and architectural review processes. — Built internal AI tools for Product Managers, including a Slack bot that traces a user's onboarding lifecycle screen-by-screen, now used company-wide for faster debugging and support.
Headout
Aug 20222 yrs 9 mosApr 2025

Bangalore Urban, Karnataka, India

- Led a team of 4–6 engineers on select initiatives, balancing end-to-end execution ownership with hands-on individual contributions. - Architected a PCI DSS-compliant Save Cards feature, increasing user retention and reducing average checkout time by 70%. - Designed a scalable fraud detection framework utilizing extensible OOP principles, preventing over $0.8M/month in fraudulent transactions platform-wide. - Integrated a third-party bot detection service using async coroutines, reducing latency by 15% and fraud by 60%, resulting in approximately $0.4M/month in savings. - Developed a highly extensible payment microservice integrating Adyen, Checkout.com, Apple Pay, PayPal, and FPX, improved scalability and boosted both authorization rates and adoption by 5%. - Built a configurable payment-routing rule engine, minimizing developer effort for configuration changes and enabling rapid, real-time disabling of payment methods during outages. - Created a real-time service failure detection system, cutting incident downtime to under 5 minutes, packaged and shipped the system as an internal library adopted across multiple teams. - Drove a code-quality initiative using SonarCloud, significantly reducing code smells, lowering technical debt, and improving overall maintainability.
Ula
Nov 20219 mosJul 2022

— Engineered an event-driven system for offline cash reconciliation, reliably handling $50,000+/day in transactions since launch. — Designed and built the complete anti-fraud module from scratch, cutting fraud by approximately 75% and saving nearly $4,000/day. — Optimized a high-traffic user-data endpoint with Redis caching, reducing response time from 200ms to 5–10ms – a 95% improvement.
Ula
Nov 20201 yr 1 moNov 2021

Bangalore Urban, Karnataka, India

BeeHyv Software Solutions Private Limited
Jul 20205 mosNov 2020

Hyderabad, Telangana, India

GitHub
@rahulg4132
LeetCode
@rg889666

Rahul’s AI Stack

claude code
claude code
cursor
cursor
gemini
gemini
github copilot
github copilot
openai
openai

Education

Indian Institute of Technology (Indian School of Mines), Dhanbad

Bachelor of Technology - BTech

Indian Institute of Technology (Indian School of Mines), Dhanbad

20164 yrs2020

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Headline

Engineering @OnePay | Ex-Headout | Ex-ula | IIT Dhanbad

About

Backend engineer with 6+ years building high-scale fintech and payments systems, currently leading a dedicated engineering team and architecting onboarding infrastructure used by 1M+ users. Proven record of multi-million- dollar impact through fraud prevention, payment infrastructure, and system reliability. Looking to step into a Staff Engineer / Technical Lead role with broader scope.

Location

Bengaluru

AI stack

claude code

cursor

gemini

github copilot

openai

Work experience

Engineer at OnePay, May 2025 - Present · 1 yr 7 mos, Bengaluru, Karnataka, India, — Leading a cross-functional team building a microservice-based onboarding platform from the ground up, setting architecture direction and using AI-assisted development (Cursor + Claude) to accelerate delivery while improving p95 latency from 2–3s to 500ms. — Owning the technical roadmap for Builder Card onboarding, a system now serving 1M+ banking users, balancing reliability, scalability, and extensibility trade-offs. — Led design and delivery of a bespoke partner onboarding solution integrating Walmart and Workday, reducing partner integration time by 40% through close stakeholder alignment across partner engineering teams. — Designed a state-machine–based flow orchestrator managing 10+ onboarding states, built specifically for extensibility across future partner and product types. — Set technical standards for the team, including code review practices, CI quality gates, and architectural review processes. — Built internal AI tools for Product Managers, including a Slack bot that traces a user's onboarding lifecycle screen-by-screen, now used company-wide for faster debugging and support.

Senior Software Engineer at Headout, Aug 2022 - Apr 2025 · 2 yrs 9 mos, Bangalore Urban, Karnataka, India, - Led a team of 4–6 engineers on select initiatives, balancing end-to-end execution ownership with hands-on individual contributions. - Architected a PCI DSS-compliant Save Cards feature, increasing user retention and reducing average checkout time by 70%. - Designed a scalable fraud detection framework utilizing extensible OOP principles, preventing over $0.8M/month in fraudulent transactions platform-wide. - Integrated a third-party bot detection service using async coroutines, reducing latency by 15% and fraud by 60%, resulting in approximately $0.4M/month in savings. - Developed a highly extensible payment microservice integrating Adyen, Checkout.com, Apple Pay, PayPal, and FPX, improved scalability and boosted both authorization rates and adoption by 5%. - Built a configurable payment-routing rule engine, minimizing developer effort for configuration changes and enabling rapid, real-time disabling of payment methods during outages. - Created a real-time service failure detection system, cutting incident downtime to under 5 minutes, packaged and shipped the system as an internal library adopted across multiple teams. - Drove a code-quality initiative using SonarCloud, significantly reducing code smells, lowering technical debt, and improving overall maintainability.

Senior Software Engineer at Ula, Nov 2021 - Jul 2022 · 9 mos, — Engineered an event-driven system for offline cash reconciliation, reliably handling $50,000+/day in transactions since launch. — Designed and built the complete anti-fraud module from scratch, cutting fraud by approximately 75% and saving nearly $4,000/day. — Optimized a high-traffic user-data endpoint with Redis caching, reducing response time from 200ms to 5–10ms – a 95% improvement.

Software Developer at Ula, Nov 2020 - Nov 2021 · 1 yr 1 mo, Bangalore Urban, Karnataka, India

Software Developer at BeeHyv Software Solutions Private Limited, Jul 2020 - Nov 2020 · 5 mos, Hyderabad, Telangana, India

Education

Bachelor of Technology - BTech, Indian Institute of Technology (Indian School of Mines), Dhanbad

Public links

github: https://github.com/rahulg4132

leetcode: https://leetcode.com/rg889666