● Open to Work

akshatraikar

Full-Stack Developer | MERN Stack | AI-Integrated Applications
Mumbai, Maharashtra

About Me

Full-Stack Developer (CGPA 8.99) with three production internships and three independently deployed full-stack systems across the MERN and Next.js stacks. Highlights include a 40+ endpoint REST API healthcare backend, an AI-driven task-triage agent built on Claude Haiku, and a CNN achieving ~90% accuracy for real-time oil-spill detection. Combines strong software engineering fundamentals with applied AI/ML integration and Jest-based testing practice.

Skills & Technologies

JavaScript (ES6+)TypeScriptSQLHTML5CSS3React 18/19Next.js 14ViteTailwind CSSReact FlowNode.jsExpress.jsRESTful APIsGraphQLSocket.ioPostgreSQLMongoDBRedisPrisma ORMMongoose ODMAnthropic Claude APIGoogle Gemini APITensorFlow.jsface-api.jsNaive Bayes NLPDockerKubernetesCI/CDGitGitHubNginxVercelJestPostmanOAuth 2.0JWTHelmet.jsCORSRate LimitingInput ValidationData Structures & Algorithms (DSA)Object-Oriented Programming (OOP)DBMSOperating SystemsComputer Networks

Work Experience

Full-Stack Development Intern

MediGhar Healthcare Services
Dec 2025Mar 2026

Architected healthcare backend with 40+ REST API endpoints for auth, e-commerce, and healthcare, including real-time doctor-patient chat using Socket.io with JWT authentication and presence tracking. Secured platform using JWT auth, bcrypt hashing, Helmet.js, CORS, rate limiting, and input validation across all endpoints.

Web Development Intern

Olcademy
Dec 2025Feb 2026

Built district-level informational card components in React and Tailwind CSS with Jest unit tests; independently shipped features in Agile sprints. Diagnosed and fixed recurring notification icon bugs and improved navigation/UX flow, eliminating UI defect classes.

AI Intern

Infosys Springboard 6.0 (Project: DeepSpill)
Sep 2025Nov 2025

Trained and deployed CNN using TensorFlow/Keras achieving ~90% accuracy for real-time oil-spill detection in satellite imagery, reducing false positives using OpenCV filtering. Delivered dual web interfaces (Streamlit dashboard and React/FastAPI stack) with automated email alerts and SQLite-based detection logging.

Projects

TaskSentry — AI-Powered Workflow Discovery & Task Triage System

Engineered an AI Triage Agent using Anthropic Claude Haiku with 4 tool-calling functions to propose task priority, owner, and SLA, auto-applying at 75%+ confidence with human-in-the-loop fallback. Built an NLP classification pipeline with auto-retraining, 5-fold cross-validation, and rollback safeguards; designed an interactive React Flow dependency graph with custom bottleneck detection.

Anthropic Claude HaikuNaive Bayes NLPReact Flow

RoamHaven — Travel & Accommodation Booking Platform

Developed a full-stack booking platform with Razorpay payments, automated host commission splits, and a dynamic pricing engine serving real-time availability. Integrated Google Gemini AI for conversational search chatbot and itinerary generation; implemented OAuth 2.0 authentication and Redis caching. Containerized platform with Docker Compose and Kubernetes.

RazorpayGoogle Gemini AIOAuth 2.0Redis+2

Facial.io — Real-Time Face Recognition Attendance System

Engineered browser-based face recognition using face-api.js with 128-dimensional descriptor matching, multi-angle enrollment, and Euclidean distance scoring. Built a real-time webcam pipeline processing frames every 300ms achieving ~95% accuracy under normal lighting. Implemented offline-first architecture with Dexie.js/IndexedDB and MongoDB backend sync.

face-api.jsTensorFlow.jsDexie.jsIndexedDB+1

Education

Bachelor of Engineering

Information Technology

Atharva College of Engineering, Mumbai, Maharashtra2023 - 2027
akshatraikar - Full-Stack Developer | MERN | HiringAnt