Siddhartha Pebbeti

About

Python developer and Generative AI enthusiast with hands-on experience building web, machine learning, LLM, and RAG-based applications. Skilled in Python, Flask, Django, FastAPI, Streamlit, REST APIs, databases, and modern GenAI tooling including LangChain, LangGraph, Hugging Face, and prompt engineering.

Experience

• GenAI Intern
  Company

Education

• Bachelor of Technology
  J.B. Institute of Engineering and Technology
  Information Technology · May 2026

Skills

• CSS
• Data Structures
• Deep Learning
• FastAPI
• HTML
• Python
• Machine Learning
• Prompt Engineering
• JavaScript
• Django
• NumPy
• Pandas
• Streamlit
• scikit-learn
• Flask
• Debugging
• File Management
• LangChain
• API Integration Understanding
• RAG
• LLMs
• LangGraph
• LangSmith
• Oop
• APIs and integrations

Projects

• LLM MovieMind – AI Movie Recommendation & RAG Assistant
  LLMs, RAG, FastAPI, Streamlit, Embeddings, Prompt Engineering

  Developed a Generative AI movie recommendation and question-answering application using an LLM and RAG architecture. Implemented semantic search, embeddings, and context retrieval to generate context-aware movie responses. Integrated a FastAPI backend with a Streamlit frontend for an interactive user experience and real-time response generation. Applied prompt engineering and document/context retrieval workflows to improve response relevance.

• Abnormality Detection in Spinal Cord MRI using K-Means Clustering
  Python, Machine Learning

  Developed a machine learning-based system to detect abnormalities in spinal cord MRI images. Performed image preprocessing and feature extraction to improve segmentation quality. Implemented K-Means clustering for MRI image segmentation and supported abnormal region identification.

• Facial Emotion-Based Song Recommender System using Machine Learning
  Python, Machine learning, REST APIs

  Built a prototype system that recommends songs based on detected facial emotion. Applied basic ML workflow including data handling, feature extraction, and emotion-to-music mapping. Focused on improving user experience through personalized mood-based recommendations.

• Leave Management System
  FastAPI, Streamlit, PostgreSQL

  Built a leave management application using FastAPI, Streamlit, and PostgreSQL. Developed REST APIs for leave requests and approval workflows. Implemented role-based access for employees and administrators.

Courses & certifications

• Generative AI with Large Language Models · Innomatics Research Labs · 2026

🎯 Hobbies & interests

• technical reading
• sketching
• creative design