Pradip Chotara

AI & Machine Learning Engineer

A passionate and driven AI student with hands-on experience in DevOps practices. Dedicated to building intelligent systems and solving real-world problems through technology.

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About Me

I am a dedicated M.Tech student in Artificial Intelligence at Maulana Azad National Institute of Technology (NIT), Bhopal, with a foundational B.Tech in Computer Engineering. My academic pursuits are complemented by my professional experience as a DevOps Trainee at Aeonx Technologies Pvt Ltd.

I am passionate about leveraging this unique blend of AI knowledge and DevOps expertise to create innovative, scalable, and efficient solutions. As a collaborative problem-solver, I am actively seeking an opportunity to contribute to challenging projects within a dynamic team.

Education

M.Tech in AI

NIT, Bhopal

Aug 2024 - May 2026

B.Tech in Comp. Eng.

GTU

July 2017 - May 2021

Experience

Trainee Developer - DevOps

Aeonx Technologies Pvt Ltd

March 2023 - July 2024

  • Worked on multiple projects, gaining hands-on experience in modern development and DevOps practices.
  • Built and maintained backend systems using NodeJS and PHP.
  • Designed and managed MySQL databases and Dockerized applications for smoother deployment.
  • Gained exposure to AWS cloud services for deployment and scalability.

Technical Skills

Programming & Databases

Python C/C++ PHP JavaScript MySQL MongoDB

Frameworks & Runtimes

Langchain TensorFlow PyTorch Scikit-learn Node.js

DevOps & Tools

AWS GCP Docker Git

My Projects

Xpense - Reimbursement Tool

Developed a tool at Aeonx Technologies to manage employee reimbursement workflows, enabling expense uploads for approval and streamlining communication with accounting.

PHP Docker MySQL

Fall Detection RAG System

Built scalable pipelines for document processing and embedding with Vertex AI, enabling real-time file uploads and context-aware answers.

FastAPI Vertex AI LLM

Fine-Tuned YOLOv8 Sign Recognition Web Application

Built and deployed a real-time digit recognition app using a fine-tuned YOLOv8n model, with automated hand labeling via MediaPipe and scalable cloud deployment on GCP.

YOLO MediaPipe GCP

PDF Query App

Developed a FastAPI backend to process PDFs, chunk text using Langchain, generate embeddings with Sentence Transformers, and perform semantic search.

FastAPI Langchain Docker

Sign Language Recognition

Developed a real-time sign language recognition system with a FastAPI backend on Google Cloud Run and a responsive frontend for webcam capture.

FastAPI Docker GCP

Get In Touch

I'm always open to discussing new projects, creative ideas, or opportunities. Feel free to reach out to me.

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