Software Engineer · AI Researcher
I'm a Computer Science graduate from New Horizon College of Engineering, Bangalore — CGPA 8.02 — constantly pushing at the overlap between intelligent systems and elegant software.
From publishing IEEE research on Smart Agriculture to building AI-powered applications and automation solutions, I thrive on work that demands both depth and polish. Currently focused on placements and building out my project portfolio.
An AI-powered greenhouse management system that monitors soil moisture, temperature, and humidity in real-time — triggering automated responses to maintain optimal growing conditions. Published and presented at IEEE RTET 2025.
View ResearchAn agentic AI system that processes clinical patient PDFs and generates structured discharge-summary drafts. It uses Gemini for clinical data extraction and synthesis, PyMuPDF for document processing, medication reconciliation, conflict detection, and no-fabrication guardrails with a correction-memory learning loop.
View on GitHubAn intelligent loan advisory system with multilingual NLP support, helping users navigate financial products through natural language queries — built with Python and Flask.
Learn MoreA cinematic portfolio with dual-tone lighting, glassmorphism cards, scroll animations, and a custom cursor — built with pure HTML/CSS/JS, no frameworks.
Live SiteWorked on web application testing using Selenium, creating and executing automated test cases to validate application functionality. Gained hands-on experience in test automation, functional testing, identifying defects, and improving software quality.
Published and presented research on AI-driven greenhouse management systems at an IEEE-affiliated conference, demonstrating real-world application of ML in precision agriculture.
Provided technical support and troubleshooting, gaining hands-on experience with system diagnostics, client communication, and issue resolution workflows.
Core CS — OS, DBMS, CN, DSA, OOP, Software Engineering — alongside applied ML and web development. Graduated in 2026, now focused on placements and further project work.
This paper presents an intelligent greenhouse management architecture integrating IoT sensors, real-time data monitoring, and machine learning models to automate climate control, irrigation, and resource optimization — demonstrating measurable improvements in crop yield and water efficiency through automated decision loops.