Loading awesomeness...

Objective

Seeking a role to leverage my expertise in Python, machine learning, and web development to build innovative solutions in a dynamic, team-driven environment.

Now

Here’s what I’m currently focused on:

  • Building AI-powered developer tools and meeting assistants.
  • Experimenting with real-time transcription and RAG-based Q&A systems.
  • Participating in hackathons like i-Hack (GitLab) and Shaastra to sharpen product + tech skills.
  • Deepening my knowledge of MLOps and scalable backend architectures.

Achievements

IIT Madras Shaastra Hackathon – Top 50 Team

Jan 2025 | Chennai, India: Competed among top national teams, delivering tech-driven solutions to real-world challenges.

Kalasalingam ACM Hackathon – Finalist

Dec 2025 | Krishnankoil, TN: Built a Generative AI solution addressing practical issues in a high-pressure setting.

Projects

Project Lead – Real-Time Video Transcriber

Led development of a real-time video transcription system using Python and OpenCV. Integrated live speech-to-text, captions, multithreading, and feedback-driven UI for error resilience.

View on GitHub

AI Meeting Assistant

Developed a real-time assistant with transcription, summarization, and contextual Q&A (RAG), integrated into Slack & Google Calendar for automated meeting workflows.

View on GitHub

AI NewsReel Generator

Created an AI-powered pipeline for news scraping, summarization, and narrated video reels (with subtitles); offered an intuitive web interface for viewing/downloading.

View on GitHub

Latest GitHub Projects

Auto-fetched from @PasupuletiC

× Expanded certificate

Technical Skills

  • Programming Languages: Python, Java
  • Machine Learning & AI: Deep Learning, PyTorch, TensorFlow
  • Web Development: HTML, CSS, JavaScript
  • Areas of Interest: AI agents, Machine Learning, Programming
  • Soft Skills: Communication, Teamwork
PyTorch
TensorFlow
JavaScript
Databases

Education

Kalasalingam Academy of Research and Education

Bachelor of Technology in Computer Science and Engineering (Sep 2022 – Apr 2026)

Narayana Junior College

Intermediate (MPC Stream) (Jun 2020 – May 2022)

Publications

Development of an Energy Prediction Model for Home Appliances Using Random Forest Algorithm

IEEE INDICON 2025, NIT Rourkela

  • Achieved 97.8% R² and 98.8% accuracy using Random Forest.
  • Benchmarked against LSTM and Gradient Boosting models.
  • Focused on Smart Home Energy Optimization & Sustainability (SDG 7 & 13).
View Publication