Dhruv Bhagat

About

Computer Science undergraduate with hands-on experience in Python, backend development, REST APIs, databases, and cloud-based applications. Built scalable software systems using Python, FastAPI, Node.js, Express.js, MongoDB, PostgreSQL, Docker, and AWS. Strong foundation in OOP, DSA, DBMS, Operating Systems, and Computer Networks, with practical experience integrating AI capabilities into production-oriented applications.

Experience

• AI for Sustainability Intern
  1M1B, AICTE & IBM SkillsBuild
  May 2026 – Jun 2026
• Android Developer
  Tejas KP AI Software · Vadodara, Gujarat, India
  May 2025 – Jun 2025

Education

• Bachelor's Degree
  Chandubhai S. Patel Institute of Technology · Charotar University of Science and Technology
  Computer Software Engineering · Jun 2023 – Jun 2027
• 12th / Higher Secondary (Class 12)
  Bright School
  Mathematics, Physics and Chemistry · May 2022 – Apr 2023
• 10th / Secondary (Class 10)
  Bright School
  Jun 2020 – Apr 2021

Skills

• SQL 1 to 2 years
• Computer Networks 3 to 6 months
• Computer Vision <3 months
• Express.js <3 months
• FastAPI <3 months
• Python 1 to 2 years
• Machine Learning 1 to 2 years
• Prompt Engineering <3 months
• JavaScript <3 months
• Node.js <3 months
• Tailwind CSS <3 months
• React <3 months
• PyTorch <3 months
• Operating Systems <3 months
• Docker <3 months
• LangChain <3 months
• API Integration Understanding <3 months
• RAG 6 to 12 months
• LLMs 3 to 6 months
• Data Structures and Algorithms <3 months
• Asynchronous Programming <3 months
• Oop <3 months
• Database Management Systems <3 months
• Generative AI (ChatGPT, Copilot, Gemini) 6 to 12 months

Tools / apps / platforms

• Amazon Web Services AWS 3 to 6 months
• ChromaDB <3 months
• Docker 3 to 6 months
• Git <3 months
• GitHub 1 to 2 years
• MongoDB 6 to 12 months
• n8n <3 months
• PostgreSQL 6 to 12 months
• Redis <3 months

Languages

• English Fluent Speak · Read · Write
• Gujarati Native / Bilingual Speak · Read · Write
• Hindi Fluent Speak · Read · Write

Projects

• Multi-Source Enterprise RAG System ↗
  Python, FastAPI, PostgreSQL, ChromaDB, Redis, SSE

  Built a multi-tenant document intelligence platform supporting document retrieval and citation-backed responses. Developed provider-agnostic AI interfaces using OOP and abstract base classes, integrating multiple LLM and embedding providers with semantic retrieval. Implemented asynchronous document processing and streaming responses using async/await, generators, Redis workers, and Server-Sent Events (SSE).

• EcoSort AI ↗
  PyTorch, EfficientNet-B0, FastAPI, Docker Compose

  Developed a waste classification system to classify waste across 10 categories. Built FastAPI inference services with image uploads, JWT authentication, and REST APIs for real-time AI predictions. Containerized frontend, backend, ML inference, and database services using Docker Compose.

• End to End E-Commerce Churn Intelligence System ↗
  Python, FastAPI, MongoDB, Random Forest, Scikit-learn

  Built a customer churn prediction platform supporting customer risk analysis and prediction workflows. Developed ETL and data ingestion pipelines with data preprocessing, model inference, state management, and database operations. Implemented backend workflows using REST APIs, structured logging, exception handling, type hints, and JSON-based data processing.

Courses & certifications

• AWS Academy Graduate – Cloud Developing · AWS Academy
• Design and Analysis of Algorithms · NPTEL
• Machine Learning with Python · Coursera