Software Engineer building AI-powered backend systems, scalable APIs, and intelligent data platforms.
I am Tanay Kapoor, a final-year B.Tech CSE (Data Science) student specializing in Software Development, Backend APIs, and Data Engineering. I enjoy solving real-world problems, building scalable systems, and working across the intersection of backend engineering, AI, and data pipelines.
My experience focuses on designing robust REST APIs with FastAPI, managing databases like PostgreSQL and MongoDB, deploying services to AWS and Azure, and orchestrating ETL Pipelines. I build intelligent AI Applications and automation workflows that streamline complex operations.
Actively looking for full-time opportunities in Software Engineering, Backend, AI, and Data Engineering starting in 2026.
RZOLUT
Architecting high-performance backend systems, scalable REST APIs, and automated data ingestion workflows to power next-generation business intelligence solutions.
Designed a technological solution for government ministries addressing real-world operational challenges. Integrated AI/ML components and optimized database schemas to solve scale issues.
An AI-powered waste classification and routing platform. Integrates computer vision APIs for real-time waste sorting, a GPT-based chatbot assistant, mapping APIs for local recycling centers, and a gamified carbon footprint tracker.
An AI-powered smart agriculture platform for crop recommendation, soil health monitoring, and yield prediction. Features machine learning models for predictive farming, weather insights, and agricultural data analytics.
An elegant glassmorphic personal operating system and predictive life twin simulation engine. Unifies productivity, finance, health, and journaling with AI feedback loops and interactive cognitive brain training games.
Full-stack fitness application for personalized workout tracking. Implemented JWT-based user authentication and a structured MySQL schema for efficient queries.
Processed large-scale YouTube data using Pig and Hive; built Spark MLlib models for revenue and growth prediction with ~85% accuracy. Analyzed category and region trends.
Real-time hand-tracking drawing application that lets users draw on a digital canvas using hand gestures via computer vision.
An AI-powered chatbot for analyzing and improving resumes, providing structured feedback and recommendations.
Awarded for innovation and technical excellence in smart agricultural technology developments.
Won 3rd Prize for developing AgriSage, a multilingual AI agricultural decision engine.
Secured 3rd Place for building EWWW, an AI-powered waste management and recycling locator system.
Selected as a Top 5 Finalist in the internal round for solving national-level departmental problems.
Received a Consolation Prize and recognition for the commercial viability and social impact of AgriSage.
Achieved Gold Badges in Python programming and SQL database query language proficiency.
Open to Software Engineering, Backend Engineering, AI Engineering, Machine Learning, and Data Engineering full-time opportunities.