Stuti Mishra

Project Manager

Lucknow, Uttar Pradesh, India1 yr 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in E-commerce and Web Development.

ReactFirebaseJavaSpring BootDjangoPostgresql

Artificial intelligence and machine learningBig Data AnalyticsCloud ComputingProblem SolvingPythonRazorpayReact.jsTypeScriptmicroservices

Jan 2025 – Jun 2025 · 5 mos · New Delhi, Delhi, India · Remote

Architected a scalable, role-based multi-vendor marketplace (React, TypeScript, Firebase) for 4 user roles, streamlining operations by 40% and handling 500+ monthly transactions.
Delivered end-to-end commerce infrastructure with Razorpay integration, real-time order tracking, and dynamic cart system—reducing payment failures by 30% and enhancing delivery SLAs.
Built a centralized admin console with vendor onboarding, inventory management, and operational controls—driving a 25% uplift in vendor efficiency and minimizing human error.
Implemented microservices-driven architecture (cart, delivery, payments), cutting technical debt and future dev costs by 20%, while enabling rapid feature deployment at scale.

ReactTypeScriptFirebaseRazorpaymicroservices

Jul 2024 – Dec 2024 · 5 mos · Lucknow, Uttar Pradesh, India · Remote

Developed microservices using Spring Boot and Java, reducing API response time by 30%, and automated deployment scripts, saving 5 hours/week in manual tasks
Built responsive web interfaces with React.js, integrated REST APIs to handle 500+ daily interactions, and optimized PostgreSQL queries, improving performance by 40%
Enhanced code quality by increasing unit test coverage from 65% to 90%, resolved 10+ critical bugs within a 24-hour turnaround

Spring BootJavaReact.jsPostgreSQL

Nov 2021 – Jul 2022 · 8 mos · On-site

Optimized Django ORM and PostgreSQL queries, reducing API response times by 65% and database load by 40%, resulting in improved performance for 1000+ daily users
Architected and implemented a PostgreSQL partitioning strategy that decreased query execution time by 78% for high-volume data tables while enabling 3x faster database backups
Developed a Python-based automated testing framework for Django applications that increased code coverage from 67% to 94%, reducing production bugs by 82% and cutting deployment rollbacks to zero over a 3-month period

DjangoPostgreSQLPython