Pratyush Sinha

Software Engineer

Noida, Uttar Pradesh, India5 yrs experience
Highly Stable

Key Highlights

  • Improved repeat orders by 8% at Swiggy.
  • Developed a digital wallet system in a personal project.
  • Automated data correction, enhancing quality by 60%.
Stackforce AI infers this person is a Fullstack Developer with experience in E-commerce and Fintech.

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Skills

Core Skills

React.jsDjangoPython (programming Language)

Other Skills

JavaRedisUI/UXDjango REST FrameworkPostmanExploratory Data AnalysisDeep LearningData QualityVisual StudioProblem SolvingLong Short-term Memory (LSTM)JavaScriptTypeScriptSQLSpring Boot

Experience

5 yrs
Total Experience
5 yrs
Average Tenure
5 yrs
Current Experience

Personal project

Payment Wallet System

Sep 2025Oct 2025 · 1 mo

  • Developed a digital wallet system allowing users to add funds, transfer balance, and view transaction history
  • Designed a double-entry wallet ledger with atomic updates and row-level locking to prevent race conditions
  • & maintain consistent balances during concurrent transfers
  • Created idempotent transfer endpoints to avoid duplicate transactions on network/payment retries
  • Built REST APIs using Django REST Framework, tested via Postman, and created simple Django Template-based UI screens for core wallet operations
DjangoDjango REST Framework

Swiggy

Software Engineer

Jun 2021Present · 5 yrs

  • Built the Instamart pre-search experience by integrating a backend pre-search API, surfacing last 5 searches via Redis cache, and adding monetization and recommendation widgets. This improved repeat orders by 8% and reduced order placement time by 12%
  • Implemented structured logging for addToCart() events, improving debugging efficiency and enabling data-driven product insights
  • Added the order tracking head-up display on Instamart’s homepage, achieving a 45% average CTR
  • Optimized Onboarding banner for gamification, increasing CTR by 25% through iterative UI/UX enhancements
  • Added browser compatibility polyfills to support legacy Android Chrome builds, improving access for 3% users on older devices
  • Stabilized Android Accessibility Suite support by resolving inconsistent focus and label behavior, improving app experience for assistive-tech users
  • Handled on-call responsibilities, monitored alerts and collaborated with cross-functional teams to fix recurring issues
React.jsJava

Ge digital

Data Science Intern

May 2020Jul 2020 · 2 mos · Hyderabad, Telangana, India

  • Developed a deep learning pipeline to automate correction of event data and predict missing gaps, improving data
  • quality by 60%
  • Implemented & compared multiple models, including CBOW, Bi-LSTM, LSTM, to optimize performance
  • Evaluated model accuracy using key performance metrics & integrated final solution into the production environment
Python (Programming Language)Exploratory Data Analysis

Education

Indian Institute of Technology, Roorkee

Bachelor of Technology — Engineering

Mar 2017Jun 2021

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