I’m passionate about software development, Artificial Intelligence, and emerging technologies. I enjoy building practical solutions, exploring new technologies, and turning ideas into working projects. My interests span software engineering, AI/ML, intelligent systems, and technology-driven problem solving, with a focus on continuously learning and building meaningful products.
AI Intern
VISWAM.AI
- Completed a 6-week AI internship, building practical applications and contributing to open-source development.
- • Built ResearchLens, a research-paper analysis platform using Next.js, React, TypeScript, FastAPI and Python.
- • Developed AirGap Parse, an offline-first invoice processing application with OCR, document retrieval and search using FastAPI, SQLite and Tesseract OCR.
- • Worked with Git/GitLab workflows, branching, issues, merge requests, code reviews, testing and CI pipelines.
- • Explored speech technology workflows, including ASR/STT, Mozilla Common Voice and Hugging Face tools.
Winter Internship Trainee
India Space Lab
- Completed the Winter Internship Technical Training Program, gaining practical exposure to drone technology, CanSat/CubeSat programs, rocketry, remote sensing and GIS, and disaster-management applications.
ResearchLens — Research Paper Analysis Platform
Built a research-paper analysis platform that extracts text from PDFs, identifies key sections such as methodology, datasets and findings, and generates a reproducibility checklist to help users review research papers efficiently.
AirGap Parse — Offline Invoice OCR & Search
Developed an offline-first invoice processing application that supports PDF and image documents, OCR-based text extraction, SQLite persistence, document retrieval and search. Designed for CPU-first operation and local usability.
Tollywood RAG Chatbot — Telugu Cinema Knowledge Assistant
Built a Retrieval-Augmented Generation (RAG) chatbot focused on the Telugu film industry. It uses a local JSON knowledge base and a pure-Python TF-IDF-style retriever to find relevant passages and generate grounded answers with source snippets. The project includes a Python backend and a lightweight HTML, CSS and JavaScript frontend, with support for running through Streamlit.
MediCare AI — Intelligent Medication Reminder Dashboard
Developed a collaborative AI-powered medication management platform designed to help users organize medicine schedules, receive timely reminders, track medication adherence, and identify missed-dose patterns. The project explores multi-agent AI orchestration, voice-based interaction, persistent memory, adherence analytics, caregiver notifications, and AI-assisted prescription information extraction with user verification.
B.Tech in Artificial Intelligence & Machine Learning
ICFAI Tech, ICFAI Foundation for Higher Education
Exploratory Data Analysis - Level 2 (AI Ready, AI ASCEND)
Accenture | NASSCOM FutureSkills Prime
Introduction to AI Concepts
Microsoft Learn
Natural Language Processing (NLP) and Text Mining Tutorial for Beginners
Simplilearn SkillUp
Introduction to Linux
The Linux Foundation
Attendee · Oct 24, 2026