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 2025 – Oct 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 2021 – Present · 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 2020 – Jul 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