Full Stack & AI Developer

Mahesh Kumar Jena

Computer Science IoT undergraduate building production-grade MERN/Next.js platforms, AI-powered applications, and edge-cloud AIoT systems.

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About

I'm a Computer Science Engineering (IoT) undergraduate, expected to graduate in July 2027, with strong fundamentals in data structures, algorithms, AI/ML, networking, and full-stack web development.

My work spans production Next.js and MERN platforms, REST APIs, Docker and CI/CD workflows, CNN model training, and edge-cloud AIoT systems with Raspberry Pi, Flask, OpenCV, and React dashboards. I have interned with Tellis Technologies, built fintech features for Celeriz, and led multiple AI-driven team projects.

Open Source Contributor — Cal.com ↗

Internship Experience — Tellis Technologies ↗

// 250+ algorithmic problems solved / open to full-stack and AI roles

Core tools - TypeScript, Python, Java, C/C++, React, Next.js, Node.js, Express, PostgreSQL, MongoDB, MySQL, SQLite, TensorFlow, Keras, OpenCV, MobileNetV2, Raspberry Pi, Flask, REST APIs, WebSockets, Docker, AWS, CI/CD

GitHub ↗LeetCode ↗

Selected Work

01 / 06

01

Cal.com

Fixed an event configuration persistence issue affecting cancellation settings, implementing end-to-end data rehydration and automated regression tests to ensure accurate state restoration. Contributed to production codebase used by thousands of teams globally.

TypeScript · Next.js · Docker · PostgreSQL · Prisma · Tailwind

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02

Voice-Controlled Robotic Arm

Led a 6-member team building a 4-DOF robotic arm with real-time browser voice control, Flask command parsing, and Raspberry Pi servo control.

Raspberry Pi 4B · Flask · Python · React.js · Web Speech API

On Request ↗

03

Plant Health Monitoring System

Determines plant health by analyzing leaf images. The model is trained on an extensive dataset of healthy and diseased plant leaves to detect common diseases and provide a health assessment.

React · TensorFlow · Machine Learning · Flask · OpenCV · AWS

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04

AI Image Detector

Trained a CNN on 10,000+ images, reached 87% validation accuracy, reduced false positives through augmentation, and placed as a hackathon finalist.

Python · TensorFlow · Keras · Flask · React.js

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05

Inventory Management System

Added features to JM-Parts, improved client-side persistence with session storage, and handled complex dynamic state workflows.

JavaScript · Next.js · Prisma · Session Storage

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06

Dots & Boxes Multiplayer Game

Built a real-time multiplayer game with Socket.IO synchronisation, move validation, turn-based logic, PostgreSQL persistence, and dynamic boards.

Next.js · Socket.IO · PostgreSQL · Tailwind CSS

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Skills

Programming Languages - TypeScript, Python, Java, C/C++ basics

Frontend - React.js, Next.js, HTML5, CSS3, Tailwind CSS

Backend & APIs - Node.js, Express.js, REST APIs, WebSockets, Flask

AI, ML & AIoT - TensorFlow, Keras, CNN / MobileNetV2, OpenCV, Raspberry Pi 4B, Pi Camera, GPIO Servo Control, MQTT / CoAP

Data & Platform - PostgreSQL, MongoDB, MySQL, SQLite, Docker, Git, AWS, CI/CD, Vercel

Core CS - Data Structures, Algorithms, OOP, OS, DBMS, SDLC, Agile

Certifications

Full Stack Web Development

AI Agents & Generative AI

Experience

Tellis Technologies

Full Stack Developer Intern

Built and maintained full-stack web features using React and Node.js. Collaborated with the engineering team and shipped client-facing functionality within a two-month engagement.

Cal.com

Open Source Contributor

Engineered a full-stack fix for event type settings persistence by correcting API fetch mapping, form state initialization, and UI rehydration, backed by automated testing. Contributed to production codebase used by thousands of teams globally.

Bakul Foundation

Volunteer

Contributed to community development and literacy initiatives run by Bakul Foundation, an Odisha-based organisation focused on education and cultural engagement.

Bhubaneswar

Contact

Let's Work Together