Ashutosh Das

Software Engineer

Delhi, India6 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led development of 8+ microservices from scratch.
  • Achieved 93% payment success rate through innovative solutions.
  • Pioneered frictionless payment flows, boosting yield significantly.
Stackforce AI infers this person is a Fintech expert with strong capabilities in payments and machine learning.

Contact

Skills

Core Skills

Machine LearningPaymentsUser ExperienceMicroservicesOpen Source DevelopmentSoftware Development

Other Skills

Amazon S3Amazon Web Services (AWS)Analytical SkillsAndroidAndroid DevelopmentAndroid StudioBentoMLCC++Checkout OptimizationConfluenceContent Distribution NetworksData StructuresDatabricksDocker

About

I’m a product-minded engineer passionate about delivering scalable, high-impact systems that sit at the intersection of technology, business, and user experience. I’ve led the development and ownership of 8+ microservices, building 4 from scratch — powering mission-critical platforms like Global Pay-Outs, Pay-In Services, and Hybrid Checkout across Web, Android & iOS. I’ve driven frictionless CVV-free flows (+41 bps yield), optimized checkout latency (3.5s → 1.8s), and launched the One Key Card ($2.4M+ annual profit). Improved payment success (78% → 93%) and enabled loyalty-card synergy (+30% bookings). Strong in CDN-first architecture, CI/CD pipelines, and observability (Datadog, Splunk).

Experience

6 yrs 9 mos
Total Experience
1 yr 7 mos
Average Tenure
10 mos
Current Experience

Expedia group

3 roles

Software Developer Engineer - II (Machine Learning & Payments)

Aug 2025Present · 10 mos · Gurugram, Haryana, India

  • 🔹 AI Smart Payments Options - Machine Learning based ranking of Payment Options for more than 1M+/day travelers in modern checkout to drive easy checkout experience for expedia.com & hotels.com
  • 🔹 Payment Specific ML Platform - Built Expedia Group's first Payment Based ML Platform for feature engineering using spark, Databricks, flyte and bentoML. This platform is a core engine in Expedia's Payment Module driving frictionless checkout experience.
  • 🔹 CVV-Less & FCI Recovery Global - Extended No-CVV & Recovery to more than 88+ countries for all POSa of Expedia Group.
Machine LearningPaymentsDatabricksFlyteBentoML

Software Developer Engineer - II (Payments)

Promoted

Mar 2023Aug 2025 · 2 yrs 5 mos · Gurugram, Haryana, India

  • 🔹 FCI - Failed Customer Interactions Recovery
  • Reduced post-book errors by 17% and uplifted recovery to 80.37% by integrating different credit card view on failure screens to drive recovery
  • 🔹 CVV-Free Frictionless Payments
  • Pioneered Expedia’s first frictionless flow which Drove 41 bps uplift in payment yield for Android & iOS and 32 bps for Web
  • 🔹 UX-First Checkout Messaging
  • Revamped error-handling across platforms with real-time, context-aware messaging — building trust at key funnel moments.
  • 🔹 Checkout Performance Reboot
  • Re-architected parallel payment orchestration, cutting Hybrid Checkout load time from 3.5s → 1.8s — improving conversion speed.
  • 🔹 Stored Cards for Vrbo (HLD + LLD)
  • Led end-to-end design & implementation of stored cards for Vrbo. Enabled international payments via Hybrid Checkout on all major platforms.
  • 🔹 One Key Card Launch (Wells Fargo + Mastercard)
  • Co-engineered Expedia’s first co-branded card integration. Delivered 50 bps uplift (HCOM) & 230 bps (Expedia.com) with $2.4M annualized gross profit.
  • 🔹 Smart Payment Memory
  • Boosted payment success from 78% → 93% by persisting user payment selections — cutting drop-offs and improving return conversion.
  • 🔹 Golden Test Suite & Shift-Left QA
  • Drove Expedia’s Shift-Left strategy — automated E2E validations with a Golden Suite. Reduced prod bugs and sped up releases.
  • 🔹 Hybrid Partial Payment Capability
  • Enabled split payments: Cards + Loyalty, Coupons, Gift Cards — unlocking flexible checkout experiences.
  • 🔹 Loyalty + Cards Integration
  • Architected combined redemption flow for loyalty & cards — increasing daily bookings by 30% across platforms.
  • 🔹 Sub-Second Payment Iframe
  • Built proxy with Akamai CDN + S3 caching — reducing iframe load time from 2.2s → 0.8s, setting a new engineering standard.
  • 🔹 CI/CD at Scale + Observability
  • Streamlined prod deployments with 95%+ test coverage, added Splunk alerts, SLOs, and Datadog APM dashboards for full-stack monitoring.
PaymentsUser ExperienceCheckout OptimizationError Handling

Software Developer Engineer - I (Payments)

Jan 2022Mar 2023 · 1 yr 2 mos · Gurugram, Haryana, India

  • 🔹 Global Partner Payments – E2E Service Design
  • Designed and developed microservices end-to-end with production-grade readiness for Expedia’s Global Pay Out Services. Closely collaborated with business stakeholders to define and implement core partner payment logic — ensuring alignment of engineering and business outcomes.
  • 🔹 LLD for Pay-In Options at Checkout
  • Owned the Low-Level Design (LLD) of multiple payment forms to support diverse checkout needs — from cards to alternative payments — creating a scalable and modular architecture for pay-in flexibility across markets.
  • 🔹 Backend Adapters for Multi-Partner Pay-In
  • Developed backend adapter services to integrate and support multiple credit card flows and partner networks. Enabled seamless onboarding of new payment providers for traveler pay-ins — strengthening Expedia’s global payments ecosystem.
  • 🔹 Pay-In Integration Test Framework (E2E)
  • Designed and implemented a custom integration testing framework to validate the full payment flow of Expedia’s Pay-In module. Integrated directly into the CI/CD pipeline, the framework has become instrumental in identifying bugs pre-production, reducing post-deployment defects and improving delivery confidence.
MicroservicesService DesignIntegration Testing

Gitlab

Open Source Contributor (SDE)

Jun 2025Nov 2025 · 5 mos · Remote

  • Open Source Contributions to GitLab Org
  • 1. GitLab – gitlab.org
  • 🔷 Implemented and tested the /unlink command behavior for EPIC work items within GitLab’s quick actions service using Ruby on Rails
  • 🔷 Refactored core logic of the GitLab AI Assistant to enhance processing and reliability using Python
  • Tech Stack: Ruby on Rails, Python
  • 2. GitLab – CLI (glab)
  • 🔷 Added fallback support to display Merge Request (MR) pipelines when the latest branch pipeline is unavailable
  • 🔷 Integrated live pipeline status updates for MRs to provide real-time feedback in terminal workflows
  • Tech Stack: GoLang
  • 3. GitLab – Frontend Enhancements
  • 🔷 Refactored frontend logic in Vue components for improved performance and maintainability
  • 🔷 Resolved minor bugs across the Vue.js codebase to enhance user interface stability
  • Tech Stack: JavaScript (Vue.js)
Open Source DevelopmentRuby on RailsPythonGoLangJavaScript

Cadence design systems

Software Development Engineer

Jun 2021Jan 2022 · 7 mos · Noida, Uttar Pradesh, India

  • 🔹 HDL Feature Development on Multi-Core Architectures
  • Researched and developed performance-optimized features for Hardware Description Language (HDL) software in the C/C++ domain, targeting single and multi-core systems. Focused on low-level systems engineering, concurrency handling, and efficient resource utilization — enabling faster hardware simulation and enhanced design cycle efficiency.
C++CHDLSoftware Development

Google developers group

Member

Sep 2019Aug 2021 · 1 yr 11 mos · New Delhi

Education

Indian Institute of Technology, Delhi

Master of Business Administration - MBA

Jul 2024Jul 2026

Netaji Subhas Institute of Technology

Bachelor of Engineering - BE — Electronics and Communication Engineering

Jan 2017Jan 2021

DAV Public School, Dwarka

Secondary Education

Jan 2002Jan 2017

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