Full-Stack Developer · MERN

Prakhar Shrivastava builds APIs and interfaces that hold up under real traffic.

5+ years shipping production MERN applications — scalable APIs, secure auth, and React interfaces — for teams that need reliability as much as speed. Based in India, open to full-stack and backend-leaning roles.

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years experience

-30%

API latency

GET/experience

Where the work happened

200 OK · 19ms

SDE-1

Oct 2024 — Present

E-Mech Solutions — Bengaluru, India

Designed, developed, tested, deployed, and maintained enterprise-grade full-stack applications using React.js, Node.js, GraphQL, MySQL, and Docker.
Built and integrated scalable REST and GraphQL APIs, reducing backend query latency by 30% through Redis caching, query optimization, and strategic database indexing.
Contributed to system architecture design, API versioning, and service modularization to improve scalability and maintainability.
Developed and maintained unit tests using Jest, improving API reliability, code coverage, and deployment quality.

React.jsNext.jsNode.jsGraphQLMySQLDockerAWS EC2GitHub ActionsJest

Frontend Developer

Mar 2022 — Sept 2024

E-Mech Solutions — Bengaluru, India

Developed interactive dashboards and data visualizations using React.js, Tailwind CSS, and MUI to track KPIs and system metrics.
Integrated third-party APIs and libraries to fetch and visualize real-time data for analysis and monitoring.
Optimized data rendering and frontend workflows, improving dashboard load times by 25%.

React.jsTailwind CSSMUIREST APIsTableauPower BIPython

Backend Engineering Intern

Oct 2020 — Oct 2021

Brainowls Technologies — Pune, India

Built backend infrastructure for authentication and registration using the MERN stack, enabling secure access for 10K+ users.
Developed secure, scalable REST APIs and integrated OAuth, reducing authentication-related errors by 35%.
Improved API response efficiency by 30% through middleware optimization and caching strategies.

MERNOAuthREST APIsMiddleware

// earlier career: Quality Control Engineer, GK Shanghai Electrical — reduced defect rate by 15% through data-driven process fixes (2016–2018)

GET/projects

Things built end to end

200 OK · 35ms

●e-commerce · MERN + Docker

TribeKart

Scalable MERN e-commerce platform with OAuth login and role-based product management.
Optimized checkout flow, cutting cart abandonment by 20% and lifting order success rates.
Deployed containerized services on AWS with Docker autoscaling and monitoring.

github.com/tribekart ↗

●REST API · 95%+ test coverage

Qkart Backend

RESTful services for product, cart, order, and auth built with Node.js, Express, and MongoDB.
Reduced API response times by 30% through query optimization and effective indexing.
95%+ Jest test coverage, keeping CI/CD stable and deploy-ready.

github.com/qkart-backend ↗

●NLP · ATS scoring engine

JobMatch

Resume-to-JD matcher with keyword scoring and ATS optimization recommendations.
85% match accuracy comparing resume keywords against job descriptions using NLP.

●Flask · Scikit-learn

ResumeRanker

Resume scoring backend assessing ATS compliance with Flask, NLP, and Scikit-learn.
Keyword overlap detection plus cosine similarity scoring, 80–90% match reliability.