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Ankur Tyagi

Engineering Head @ Prosperr.io | ex-Microsoft Azure, ex-Amazon AWS | Product, Platform & Distributed systems | IIIT Allahabad

Bengaluru

10+ years of work experience

LH2 AI Labs
Sep 20261 moPresent

Bangalore

Prosperr.io
Dec 20241 y 9 moSep 2026

Bangalore

Player-coach role: Hands on Technical contribution along with Engineering leadership - • Leading technical direction across platform and product engineering. • Scaled the engineering team from 10 to ~40 engineers for all product lines of Prosperr. • Led the scale up journey for FBP product rolling out to 30+ B2B customers and product improvements. Also, • Leading the development of Tax Platform and Personalisation Stack for Personal CFO product at Prosperr. • Leading platform and infrastructure governance — golden path for new service launch and operations. • Led SOC 2 Type 2 certification across company wide applications .
Prosperr.io
Apr 20249 mosDec 2024

• Architected Employee Tax Optimisation product, FBP, from end to end in 0->1 phase. Scope - Both Mobile App, Multiple Web Applications, Backend, Infrastructure and Security. • Led the development team of 10 engineers to deliver FBP product in 2 months. • Led the first customer rollout of FBP. • Worked with cross-functional teams for continuous product and service improvements in FBP.
Microsoft
Nov 20212 yrs 5 mosMar 2024

Hybrid

• Designed and built the Competition Intelligence Platform for Azure, supporting data-backed strategic planning and competitive analysis. Pluggable architecture allowed new cloud providers to be integrated without changes to the core. • Built the Synthetic Environment Platform with full lifecycle management across host and managed services, supporting Azure's shift-left initiative. Enabled low-cost end-to-end testing with faster release cycles and reduced defect rates.
Amazon Web Services (AWS)
Aug 20192 yrs 4 mosNov 2021

• Designed and implemented parts of new Global Secondary Index architecture for DynamoDB, addressing scaling bottlenecks to achieve faster petabyte scale secondary index creation from PITR Backups. Granted patent: https://patents.google.com/patent/US11880385B1 • Developed automatic failure detection and recovery for the log propagator fleet, significantly reducing mitigation time. • Created a Deferred Execution mode for the workflow execution framework, enhancing concurrent workflow limits.
Amazon
Jan 20181 yr 8 mosAug 2019

Built high scale, customer facing systems that move real money. Amazon Pay Later is an affordability lever for Amazon to allow credit deprived customer available products on EMIs. • Built the high scale eventing system enabling async producer-consumer communication across services using Java Spring boot and other AWS Services like SQS, SNS, Lambda, ElasticSearch. • Built transaction history on top of the eventing system using AWS Lambda for enrichment and Elasticsearch allowing complex queries and rich transactional history experience for the users. • Built a real-time analytics platform for internal use by Marketing and Product team for fast feedback on EMIs adoption, usage and real time decision making around coupons, EMI structures and increased revenue. • Built the payment and order reconciliation service to catch discrepancies from daily operations. • Built the plan recommendation system and flexible user onboarding stack.
Amazon
Nov 20161 yr 3 mosJan 2018

• Developed a crowd-sourcing service for product information correction, sourced from Amazon sellers. Utilised simple majority voting rules to automate approval, NoSQL database (AWS DynamoDB) optimising for large scale traffic on ASIN correction. • Spearheaded the Live, Zero downtime, database migration from deprecated SQL database to team owned NoSQL database (DynamoDB) for critical ASIN <-> Merchant Mapping data used by attribute automation platform.
Morgan Stanley
Jun 20166 mosNov 2016

Bengaluru

Designed and developed frontend of a new workflow execution platform from scratch at Morgan Stanley. Full-stack using AngularJs, Typescript, Java, and Spring.

The last shipped feature I'm proudest of…

A very complex Tax Engine for Indians as a 12 stage pipeline, in process, sub milisecond latency, high extensible to variety of scenarios

Ankur’s AI Stack

claude code
claude code

Education

Indian Institute Of Information Technology allahabad

Bachelor of Technology (B.Tech.), Information Technology

Indian Institute Of Information Technology allahabad

20124 yrs2016

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Headline

Engineering Head @ Prosperr.io | ex-Microsoft Azure, ex-Amazon AWS | Product, Platform & Distributed systems | IIIT Allahabad

About

I'm an engineering leader with 10 years across distributed systems and platform engineering. My expertise is in high-scale backend services, and in the platform work that lets product teams ship independently. I've worked at both ends of the range: hyperscale infrastructure at AWS and Microsoft, and startup engineering leadership with high product and business ambiguity. At Amazon I worked on AWS DynamoDB, Amazon Payments and Seller Platform. At Microsoft Azure, Cloud Competition Intelligence system and a synthetic environment platform for pre-production testing at cloud scale. At Prosperr, I joined as architect on their first B2B product and ended up running engineering org. Currently looking for my next role — reach out to ankurtyaagi@gmail.com

Location

Bengaluru

AI stack

claude code

Work experience

Head of engineering at LH2 AI Labs, Sep 2026 - Present · 1 mo, Bangalore

Engineering Head at Prosperr.io, Dec 2024 - Sep 2026 · 1 y 9 mo, Bangalore, Player-coach role: Hands on Technical contribution along with Engineering leadership - • Leading technical direction across platform and product engineering. • Scaled the engineering team from 10 to ~40 engineers for all product lines of Prosperr. • Led the scale up journey for FBP product rolling out to 30+ B2B customers and product improvements. Also, • Leading the development of Tax Platform and Personalisation Stack for Personal CFO product at Prosperr. • Leading platform and infrastructure governance — golden path for new service launch and operations. • Led SOC 2 Type 2 certification across company wide applications .

Staff Engineer at Prosperr.io, Apr 2024 - Dec 2024 · 9 mos, • Architected Employee Tax Optimisation product, FBP, from end to end in 0->1 phase. Scope - Both Mobile App, Multiple Web Applications, Backend, Infrastructure and Security. • Led the development team of 10 engineers to deliver FBP product in 2 months. • Led the first customer rollout of FBP. • Worked with cross-functional teams for continuous product and service improvements in FBP.

Senior Software Engineer at Microsoft, Nov 2021 - Mar 2024 · 2 yrs 5 mos, Hybrid, • Designed and built the Competition Intelligence Platform for Azure, supporting data-backed strategic planning and competitive analysis. Pluggable architecture allowed new cloud providers to be integrated without changes to the core. • Built the Synthetic Environment Platform with full lifecycle management across host and managed services, supporting Azure's shift-left initiative. Enabled low-cost end-to-end testing with faster release cycles and reduced defect rates.

Software Development Engineer II | AWS DynamoDB at Amazon Web Services (AWS), Aug 2019 - Nov 2021 · 2 yrs 4 mos, • Designed and implemented parts of new Global Secondary Index architecture for DynamoDB, addressing scaling bottlenecks to achieve faster petabyte scale secondary index creation from PITR Backups. Granted patent: https://patents.google.com/patent/US11880385B1 • Developed automatic failure detection and recovery for the log propagator fleet, significantly reducing mitigation time. • Created a Deferred Execution mode for the workflow execution framework, enhancing concurrent workflow limits.

Software Development Engineer II | Amazon Pay Later at Amazon, Jan 2018 - Aug 2019 · 1 yr 8 mos, Built high scale, customer facing systems that move real money. Amazon Pay Later is an affordability lever for Amazon to allow credit deprived customer available products on EMIs. • Built the high scale eventing system enabling async producer-consumer communication across services using Java Spring boot and other AWS Services like SQS, SNS, Lambda, ElasticSearch. • Built transaction history on top of the eventing system using AWS Lambda for enrichment and Elasticsearch allowing complex queries and rich transactional history experience for the users. • Built a real-time analytics platform for internal use by Marketing and Product team for fast feedback on EMIs adoption, usage and real time decision making around coupons, EMI structures and increased revenue. • Built the payment and order reconciliation service to catch discrepancies from daily operations. • Built the plan recommendation system and flexible user onboarding stack.

Software Development Engineer | Amazon Seller Platform at Amazon, Nov 2016 - Jan 2018 · 1 yr 3 mos, • Developed a crowd-sourcing service for product information correction, sourced from Amazon sellers. Utilised simple majority voting rules to automate approval, NoSQL database (AWS DynamoDB) optimising for large scale traffic on ASIN correction. • Spearheaded the Live, Zero downtime, database migration from deprecated SQL database to team owned NoSQL database (DynamoDB) for critical ASIN <-> Merchant Mapping data used by attribute automation platform.

Software Analyst at Morgan Stanley, Jun 2016 - Nov 2016 · 6 mos, Bengaluru, Designed and developed frontend of a new workflow execution platform from scratch at Morgan Stanley. Full-stack using AngularJs, Typescript, Java, and Spring.

Education

Bachelor of Technology (B.Tech.), Information Technology, Indian Institute Of Information Technology allahabad

Profile highlights

The last shipped feature I'm proudest of…: A very complex Tax Engine for Indians as a 12 stage pipeline, in process, sub milisecond latency, high extensible to variety of scenarios