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Kalash Poddar

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Skills

Languages

  • Python
  • C/C++
  • Java
  • JavaScript
  • TypeScript
  • SQL
  • Bash

Frameworks

  • NodeJS
  • React
  • Angular
  • NextJS
  • Flask
  • Spring Boot

Tools

  • MongoDB
  • Azure
  • MySQL
  • Docker
  • Postman
  • Jenkins
  • Kubernetes

Projects

EdgeFit Coach - On-Device AI Posture Assistant

EdgeFit Coach is an AI-powered real-time posture monitoring and coaching platform built during the Qualcomm Edge AI Hackathon 2025. Fully on-device with MediaPipe, FastAPI, and custom LLMs, it delivers posture detection, personalized feedback, motivational coaching, and privacy-preserving fitness analytics. Optimized for Snapdragon X Elite Copilot+ PCs, it ensures low-latency inference, full data security, and cross-platform deployment without cloud dependency.

Tech Stack: FastAPI, Python, MediaPipe, LLM, ONNX Runtime, Streamlit

EdgeFit Coach - On-Device AI Posture Assistant

Social Media Monitoring Tool

This Social Media Monitoring (SMM) tool was developed during the Goa Police Hackathon 2024 to assist law enforcement in monitoring platforms such as Instagram and X (formerly Twitter). It identifies harmful content, including fake news, hoaxes, and other illegal activities, and presents actionable insights on a user-friendly dashboard.

Tech Stack: NextJS, Python, TypeScript, MongoDB

Social Media Monitoring Tool

Chat Meet Application

Chat Meet Application is a real-time chat application that enables users to communicate through text messages, make video calls, and share screens. The main goal of this project is to provide a seamless and interactive communication platform for users to connect with each other remotely. The application is designed to be easy to use and efficient, ensuring a smooth experience for all users.

Tech Stack: Java, Spring Boot, Angular, MongoDB, Redis

Chat Meet Application

Professional Experience

Full-stack Web Developer Intern

May 2023 - July 2023

Department of Health & Family Welfare — Govt. of West Bengal, On-site

  • REST API Development: Built scalable APIs for managing data of 1,000+ users, enabling seamless integration.
  • Performance Optimization: Enhanced data retrieval speed by 30% through query optimization & Redis caching.
  • Streamlined Workflows: Designed & deployed features reducing manual data entry & reporting effort by 25%.
  • Tech-stack: Angular, Java Spring Boot, MongoDB, SQL Server, REST APIs, Redis.