Mrinal Sharma • Mrinal Sharma •

Full Stack Engineer • Full Stack Engineer •

I build interactive experiences that blend code, design, and artificial intelligence.

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About Me

I am a Master's Candidate in Computer Science & Engineering at the University of Notre Dame (Class of 2026, 4.0 GPA), and hold a B.Tech in CS from VIT (3.88 GPA).

I specialize in building scalable, high-performance applications at the intersection of Full Stack Engineering and Generative AI. My passion lies in creating robust architectures for AI-driven solutions that solve real-world problems.

With experience at RecruitMate and as a Graduate Teaching Assistant, I have honed my skills in Next.js, Cloud Computing (AWS, Kubernetes), and modern AI integrations like Gemini and Vercel AI SDK.

My Experience

Full-Stack Engineer (Contract)

Mar 2026 – Present

AI-Powered Academic Assessment Platform

Engineered an automated grading pipeline using Google GenAI and Tesseract OCR, achieving high-precision extraction of handwritten student responses and checkmark detection while ignoring teacher annotations.
Designed a relational schema in PostgreSQL/Prisma to support hierarchical curriculum standards and multi-part assessment questions (e.g., 1a, 1b), enabling granular mastery tracking across 10,000+ data points.
Implemented Upstash Redis for API rate limiting and utilized Edge Middleware for secure, low-latency route protection and session management via NextAuth.js.
Architected a CI/CD pipeline using GitHub Actions to enforce strict TypeScript adherence and zero-lint-error deployments to Vercel, integrated with AWS S3 for scalable PDF storage.

Software Engineering Intern

Aug 2024 - May 2025

RecruitMate

Improved Time to Interactive by 380ms (2.1s → 1.72s) via Next.js Server Components.
Designed Prisma schema for 40+ universities maintaining sub-50ms queries.
Optimized LCP reducing bundle size by 28%.

Graduate Teaching Assistant

Aug 2024 - Dec 2025

University of Notre Dame

Directed weekly technical labs for 50+ students in Data Structures & Algorithms.
Conducted code reviews for C++ and Java implementations of Hash Maps, Trees, and Graphs.

Selected Works

Professional • EdTech

RecruitMate

Startup platform for student-athlete recruitment facilitating video portfolios.
Improved TTI by 380ms (2.1s → 1.72s) via Next.js Server Components.
Optimized LCP by 28% reducing bundle size significantly.
Designed scalable Prisma schema for 40+ universities.

Next.jsTypeScriptPrismaTailwind

Full Stack • Fintech • AI

NeighborDrive

AI-Powered Car Rental Platform for peer-to-peer sharing.
Reduced image load latency by 60% via AWS S3 + CloudFront CDN.
Built automated damage detection using Google Gemini Multimodal Vision.
Secured payments via Stripe Connect + NextAuth.js.

Next.jsAWS S3CloudFrontGeminiAIStripe

Marketplace • Real-time

ReBookd

Last-Minute Cancellation Marketplace recapturing lost revenue.
Architected geospatial engine filtering 1,000+ businesses in <100ms.
Implemented dynamic pricing and auto-expiration via AWS Lambda.

Next.jsPrismaAWS LambdaStripe Connect

GenAI • Business Intelligence

InsightEngine

GenAI Business Intelligence Tool converting natural language to SQL.
Achieved 90%+ SQL generation accuracy via Vercel AI SDK + Gemini.
Maintained sub-100ms query latency across complex joins using Prisma.

Next.jsVercel AI SDKGeminiAIPrismaRecharts

DevTools • Collaboration

DevFlow

Reduced database write load by 80% via Redis write-behind caching, persisting to PostgreSQL every 60s or on session end.
Achieved <50ms end-to-end typing latency by building a custom WebSocket broadcast server, supporting 100+ concurrent rooms on a single node.
Accelerated dev cycle by 30% through Turborepo monorepo with shared types between Next.js client and Express backend.

Next.jsNode.jsWebSocketsMonaco Editor

What's Next?

Let's Talk

mrinalworkus@gmail.com