AI FitTracker
Personalized fitness companion powered by AI. Tracks workouts, provides intelligent recommendations, and adapts training programs based on performance metrics and goals.
Manikanta Boda — Full-Stack & Backend Engineer
Full-stack engineer building production-ready SaaS applications with strong UI/UX, scalable backends, CI/CD pipelines, and cloud integrations. Computer Science undergraduate focused on backend systems and AI-assisted features.
Production Work
Personalized fitness companion powered by AI. Tracks workouts, provides intelligent recommendations, and adapts training programs based on performance metrics and goals.
ReelHaus is a premium club events portal that provides a seamless experience for event discovery, registration, and management. Built with the latest web technologies, it features a stunning Lightning Red theme, fast navigation, and production-ready architecture.
Intelligent reminder system with NLP-powered scheduling. Uses AI to understand natural language commands and intelligently manage tasks across devices.
A comprehensive Point of Sale (POS) system designed for grocery stores with modern UI, inventory management, and reporting capabilities. Java Full stack Project with MySQL and Apache Server.
A modern, web-based application designed to streamline electricity bill management with secure authentication, bill generation, payment processing, and DevOps practices including CI/CD, containerization, and infrastructure automation.
A web application that automates attendance calculation and percentage tracking by scraping data from the Samvidha portal. Features detailed attendance statistics, days needed to maintain 75% attendance, and class-wise breakdown.
A web application that allows users to upload images and detect the predominant colors. Displays detected colors with their RGB values and supports JPEG and PNG formats.
AI-powered interactive learning platform for engineering students as a desktop application. A local-first desktop application IDE that emphasizes modularity, offline capability, and future-ready AI integration.
Field Notes
Brief observations, technical findings, and thoughts from the workbench.
Best practices for building REST APIs that handle millions of requests. From database indexing to caching strategies.
Integration patterns for Stripe, Razorpay, and PayPal. Handling webhooks, reconciliation, and fraud prevention.
Building secure authentication systems: JWT, OAuth2, SAML. Token refresh, session management, and compliance.
Designing for high availability: EC2, RDS, Lambda, and auto-scaling. Cost optimization and disaster recovery.
Work in Progress
Active experiments and prototypes. Things that are being built, broken, and rebuilt.
React Native mobile app for AI FitTracker with Expo. Features offline sync, push notifications, and real-time coaching with computer vision integration.
Unified payment processing supporting Cashfree, Razorpay, and Stripe. Handles webhooks, reconciliation, and fraud detection with comprehensive error handling.
A local-first, AI-ready desktop learning platform built with Tauri and React, designed for modularity, offline use, and future expansion.
Comprehensive guide and implementations of system design patterns. Rate limiting, caching, load balancing, and message queues with practical examples.