Abhishek Choudhary profile photo 1 on Tal

Abhishek Choudhary

Director of Product Management @ Keka // x-founder @ Coldpress AI // formerly {Razorpay, BrowserStack, Amazon, Zomato}

Bengaluru

10+ years of work experience

Keka HR
Apr 20265 mosPresent

Bengaluru, Karnataka, India

Razorpay
Oct 20241 yr 5 mosFeb 2026

Bengaluru, Karnataka, India

• Worked on Razorpay POS – In-person payment devices for India’s top payment platform. • Led a team of 12 people across Product and Ops focussed on Merchant Experience and Supply Chain – India and Middle East. • Improved NPS by 35% over 3 months (24 → 33) leading a senior-IC mission team focussed on a diagnostics + resolution loop for long-tail IoT problems – unresolved battery, network, and application crash issues reduced by 50% across the active fleet. • Increased payment-journey success rates by 30% and reduced support tickets by 20% with a new self-healing AI layer in the Razorpay POS app – a proactive framework to detect and resolve failure states before they impact users. • Drove a 30% efficiency and 15% CSAT lift in field service with a new operations platform that standardized critical technician workflows and automated multi-hour manual tasks – inventory, integration checks, onboarding, service documentation, etc. • Cut L1/L2 support costs by 30% with an AI-assisted support platform using self-serve workflows and support agent copilot. • Led product expansion in a strategic retail-to-enterprise pivot. Built the enablement kit (hardware accessories, onboarding, digital billing) for quick integration of Razorpay POS suite in large format retail stores, unlocking $10B / year in pipeline GMV. • Doubled assembly-line production capacity with Kaizen practices for streamlining device flashing, testing, and fulfillment.
Coldpress AI
Nov 20221 yr 7 mosMay 2024

India

• Led 10 people across Tech, Partnerships, Sales, and Marketing to build data refining infrastructure for Machine Learning teams. • Bootstrapped from 0 → 1 and scaled it to 1000+ active beta seats across 20 countries, delivering an automated end-to-end dataset pipeline (acquisition, ingestion, cleaning, and labeling) for computer vision teams across industry and academia. • Ran end-to-end operations – hiring, people management, OKRs, operating cadence, budgeting, and investor materials. • PMF validation – reduced training pipeline prep time by 80% in GTM (6-month procurement cycles → weeks) by encapsulating data schema in APIs and using generative AI based continuous validation to ensure quality and efficiency. Self-funded 3 high-fidelity pilots (agritech and self-driving verticals) to prioritize rapid validation over immediate monetization. • Directed wind-down after a critical data partner acquisition – replacement deal latency was incompatible with sales timelines.
BrowserStack
Nov 20192 yrs 5 mosMar 2022

Mumbai, Maharashtra, India

• Executed platform expansion beyond Selenium; launched Playwright and Cypress support, unlocking $50M+ in new ARR. • Increased NPS by 20 (4 → 24) for Automate via improvements in performance, CX, feature gaps, and cross-functional SLAs. • Improved NightwatchJS user acquisition rate by 30% and long-term adoption by 20% with a simplified onboarding flow. • Defined the “shift-left” strategy for automated browser testing, created blueprint for new AI-enabled testing products.
Amazon
Feb 20181 yr 7 mosAug 2019

Greater Bengaluru Area

• Owner for Detail Page’s “Website Platform and Performance” group, responsible for product and technical strategy. • Reduced “page ready” render times by 30% (2.5s → 1.8s) using a combination of technical improvements, internal performance budgets, and restructuring of the Detail page. This increased sales by 5% by reducing abandonment. • Led product strategy for ‘the next billion’ users; optimized performance for low-end devices and poor connectivity in emerging markets. Collaborated with browser developers like Chrome and Firefox to implement a low-data mode in the site. • Established new company-wide KPIs to reduce failed user interactions – unlocking $100M+ in annual missed revenue.
Amazon
Mar 20161 yr 11 mosJan 2018

Bengaluru, Karnataka, India

• Designated “scale expert”, led worldwide operations among 200+ teams for Prime Day, Black Friday, and Christmas sales. • Optimized page layout strategies – with rendering time reductions of 10%, and customer bandwidth savings of 15%. • Extended caching architecture to improve page load times by 28%, enabling annual savings of $500K in computing costs.
PressPlay TV
Dec 20141 y 3 moMar 2016

Gurgaon

Zomato
Jun 20146 moDec 2014

Gurgaon

Abhishek’s AI Stack

claude
claude
hermes agent
hermes agent
midjourney
midjourney
ollama
ollama
openai
openai

Education

SRM IST Chennai

Bachelor of Technology (B.Tech.), Computer Engineering

SRM IST Chennai

20104 yrs2014
Delhi public school

Higher Secondary Education, Science

Delhi public school

20054 yrs2009

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Headline

Director of Product Management @ Keka // x-founder @ Coldpress AI // formerly {Razorpay, BrowserStack, Amazon, Zomato}

About

Product and Tech expert with 12 years of experience building across B2B SaaS, AI, and Infrastructure. Strong background in Computer Science. Specialized in building delightful technical products – both 0-to-1 and global scale. Can code. Cannot swim. Abhishek most recently led product experience at Razorpay POS, where he worked to make it India's most loved offline payments experience. His focus spanned product aesthetics, diagnostics, autonomic support and recovery, network performance, supply-chain orchestration, and the overall merchant experience. Before Razorpay, Abhishek co-founded Coldpress AI – a curated marketplace of high-quality machine learning datasets and computer vision tools. The ambition was to simplify AI infrastructure by making high-quality vision models as easy to build as SaaS. Unfortunately, the it didn’t work out commercially at the time. Prior to Coldpress, Abhishek managed several high-impact product lines at BrowserStack, including Open Source strategy, Automate testing, and Local testing. Earlier still, he was a Product Manager at Amazon, responsible for the Detail Page – one of the most visited pages on the internet. His early career saw stints at PressPlay, Zomato, Mozilla, Google, and Shufflr as an engineer; along with occasional articles in the Digit magazine. Abhishek brings a strategic eye and a calm hand to the chaotic and meaningful task of building products that matter.

Location

Bengaluru

AI stack

claude

hermes agent

midjourney

ollama

openai

Work experience

Director of Product Management at Keka HR, Apr 2026 - Present · 5 mos, Bengaluru, Karnataka, India

Associate Director of Product Management at Razorpay, Oct 2024 - Feb 2026 · 1 yr 5 mos, Bengaluru, Karnataka, India, • Worked on Razorpay POS – In-person payment devices for India’s top payment platform. • Led a team of 12 people across Product and Ops focussed on Merchant Experience and Supply Chain – India and Middle East. • Improved NPS by 35% over 3 months (24 → 33) leading a senior-IC mission team focussed on a diagnostics + resolution loop for long-tail IoT problems – unresolved battery, network, and application crash issues reduced by 50% across the active fleet. • Increased payment-journey success rates by 30% and reduced support tickets by 20% with a new self-healing AI layer in the Razorpay POS app – a proactive framework to detect and resolve failure states before they impact users. • Drove a 30% efficiency and 15% CSAT lift in field service with a new operations platform that standardized critical technician workflows and automated multi-hour manual tasks – inventory, integration checks, onboarding, service documentation, etc. • Cut L1/L2 support costs by 30% with an AI-assisted support platform using self-serve workflows and support agent copilot. • Led product expansion in a strategic retail-to-enterprise pivot. Built the enablement kit (hardware accessories, onboarding, digital billing) for quick integration of Razorpay POS suite in large format retail stores, unlocking $10B / year in pipeline GMV. • Doubled assembly-line production capacity with Kaizen practices for streamlining device flashing, testing, and fulfillment.

Chief Executive Officer at Coldpress AI, Nov 2022 - May 2024 · 1 yr 7 mos, India, • Led 10 people across Tech, Partnerships, Sales, and Marketing to build data refining infrastructure for Machine Learning teams. • Bootstrapped from 0 → 1 and scaled it to 1000+ active beta seats across 20 countries, delivering an automated end-to-end dataset pipeline (acquisition, ingestion, cleaning, and labeling) for computer vision teams across industry and academia. • Ran end-to-end operations – hiring, people management, OKRs, operating cadence, budgeting, and investor materials. • PMF validation – reduced training pipeline prep time by 80% in GTM (6-month procurement cycles → weeks) by encapsulating data schema in APIs and using generative AI based continuous validation to ensure quality and efficiency. Self-funded 3 high-fidelity pilots (agritech and self-driving verticals) to prioritize rapid validation over immediate monetization. • Directed wind-down after a critical data partner acquisition – replacement deal latency was incompatible with sales timelines.

Senior Product Manager at BrowserStack, Nov 2019 - Mar 2022 · 2 yrs 5 mos, Mumbai, Maharashtra, India, • Executed platform expansion beyond Selenium; launched Playwright and Cypress support, unlocking $50M+ in new ARR. • Increased NPS by 20 (4 → 24) for Automate via improvements in performance, CX, feature gaps, and cross-functional SLAs. • Improved NightwatchJS user acquisition rate by 30% and long-term adoption by 20% with a simplified onboarding flow. • Defined the “shift-left” strategy for automated browser testing, created blueprint for new AI-enabled testing products.

Product Manager at Amazon, Feb 2018 - Aug 2019 · 1 yr 7 mos, Greater Bengaluru Area, • Owner for Detail Page’s “Website Platform and Performance” group, responsible for product and technical strategy. • Reduced “page ready” render times by 30% (2.5s → 1.8s) using a combination of technical improvements, internal performance budgets, and restructuring of the Detail page. This increased sales by 5% by reducing abandonment. • Led product strategy for ‘the next billion’ users; optimized performance for low-end devices and poor connectivity in emerging markets. Collaborated with browser developers like Chrome and Firefox to implement a low-data mode in the site. • Established new company-wide KPIs to reduce failed user interactions – unlocking $100M+ in annual missed revenue.

Software Development Engineer II at Amazon, Mar 2016 - Jan 2018 · 1 yr 11 mos, Bengaluru, Karnataka, India, • Designated “scale expert”, led worldwide operations among 200+ teams for Prime Day, Black Friday, and Christmas sales. • Optimized page layout strategies – with rendering time reductions of 10%, and customer bandwidth savings of 15%. • Extended caching architecture to improve page load times by 28%, enabling annual savings of $500K in computing costs.

Lead Software Engineer at PressPlay TV, Dec 2014 - Mar 2016 · 1 y 3 mo, Gurgaon

Software Engineer at Zomato, Jun 2014 - Dec 2014 · 6 mo, Gurgaon

Education

Bachelor of Technology (B.Tech.), Computer Engineering, SRM IST Chennai

Higher Secondary Education, Science, Delhi public school