Available for Opportunities

Building intelligent systems & scalable AI architectures.

I am an AI & Machine Learning Engineer specializing in deep learning, natural language processing, and data analytics. Winner of the Smart India Hackathon 2025.

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Om Shree Choudhary

Background

01
About Me

Hello. I'm Om Shree Choudhary, a student at RNS Institute of Technology based in Bengaluru. My work sits at the intersection of deep learning, data engineering, and scalable application development. From developing real-time accessibility tools for the government to architecting supply chain intelligence platforms, I build solutions that matter.

Education

RNS Institute of Technology

B.E. Computer Science (AI & ML)
Aug 2023 - Aug 2027

GPA: 8.95

Core

  • Python
  • C / C++
  • JavaScript
  • Dart

AI & ML

  • TensorFlow
  • Deep Learning
  • NLP / ASR
  • Transformers

Data

  • Pandas
  • NumPy
  • scikit-learn
  • Data Analysis

Frameworks

  • FastAPI
  • Flutter
  • Firebase
  • React

Experience

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Jan 2025 - Feb 2025

AI & Data Analytics Intern

Edunet Foundation (AICTE & Shell Skills4Future)
  • Developed a CNN model achieving 92% validation accuracy in classifying 5+ types of plastic waste using TensorFlow.
  • Enhanced model performance by 15% through advanced data preprocessing and augmentation of 10,000+ training images.
  • Contributed to sustainable development goals by automating waste sorting, reducing manual classification errors by 30%.

Selected Work

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Anuvad ASR

Real-time AI speech captioning system for accessibility. Winner of Smart India Hackathon 2025.

Python Deep Learning NLP

VITA Platform

Cross-platform logistics intelligence and supply-chain risk simulation platform.

Flutter FastAPI NetworkX

Abhaya Safety App

AI-powered personal safety app with on-device ML for fall/stalking detection.

Dart TF Lite Firebase

NLP Intent Chatbot

Conversational AI using BERT/DistilBERT achieving 87% intent recognition accuracy.

FastAPI BERT MongoDB

Ad-Hoc Speech Enhancer

Microphone array speech enhancement using GCC-PHAT and beamforming algorithms.

Python DSP Beamforming

Plastic Waste CNN

Custom CNN model built to accurately identify and categorize types of plastic waste from over 10k images.

TensorFlow CNN Computer Vision

Contact

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I am currently open to new opportunities, internships, and collaborations. Feel free to reach out.

omshreechoudhary7@gmail.com linkedin.com/in/om-shree github.com/omshree134