👋 Hi, I’m Nanda Krishna
I am a Software Engineer with 2+ years of experience in backend development, full stack engineering, and cloud-native applications. My core expertise lies in building scalable systems with Python (FastAPI), REST APIs, and microservices, while also exploring the intersection of Generative AI and backend systems.
🔹 What I’ve Done So Far
Worked as a Software Engineer at FastPix, where I built and optimized an OTT streaming platform serving 1M+ users. I focused on backend APIs, payment integration, CDN performance, video infrastructure, and real-time analytics pipelines using Kafka, Docker, Kubernetes, and Azure DevOps.
Worked as a Full Stack Developer at IBEE Hosting, where I contributed to an OTT backend and frontend system. I developed FastAPI APIs, optimized MongoDB queries, built React.js components, and streamlined CI/CD workflows.
Delivered 10+ production-ready applications with a focus on performance optimization, testing, and code quality.
Mentored junior developers in Python, API design, clean code practices, and DevOps workflows.
🔹 What I’m Doing Now
Currently on a career break focused on professional development.
Learning Data Structures, Algorithms, and System Design through Scaler Academy to strengthen my problem-solving and architectural skills.
Actively exploring AI/ML and Generative AI, with hands-on projects using the Google Gemini API for habit tracking, financial analysis, and recommendation systems.
Freelancing as a Python backend developer for selected clients, focusing on API development, system architecture, and automation.
🔹 My Expertise
Backend Development: Python, FastAPI, Node.js, Express.js, REST APIs, Microservices
Frontend Development: React.js, Hooks, State Management
Databases: MongoDB, PostgreSQL, Redis
DevOps & Cloud: Docker, Kubernetes, Azure DevOps, CI/CD, Cloudflare
AI & Data: Generative AI, Google Gemini API, NLP, Computer Vision, Data Pipelines
Other Tools: Git, Kafka, Firebase, Postman
🔹 Key Projects
AI-Powered Habit Tracker & Journal – AI-driven journaling and habit app using Python, FastAPI, React, MongoDB, and Gemini API with NLP-based insights.
Smart Expense Tracker & Advisor – Finance app with AI-powered expense classification, insurance evaluation, and predictive analytics.
Dive-Into-Playstore – App recommendation system using ML and data analysis for personalized app discovery.
AI Code Agent – Lightweight command-line AI code editor powered by Gemini API to edit/run code in a sandboxed environment.
Fitness Class Booking API – FastAPI backend system with authentication, scheduling, and booking workflows for users and instructors.
🔹 What I’m Looking Forward To
I am preparing for Python Developer, Backend Engineer, and AI Engineer roles, where I can combine my backend expertise with my growing skills in Generative AI and system design. I’m especially interested in building AI-enhanced platforms, scalable backend systems, and data-driven applications.
