Bharath G — Software Development Engineer

About Me

What drives my work and where my interests lie.

I'm a Software Development Engineer specializing in AI integration and backend architecture. My core mission is to make data more meaningful — I build and deploy intelligent software solutions that leverage Large Language Models to translate complex, raw information into accessible and actionable user experiences.

Currently pursuing a B.Tech in Artificial Intelligence and Data Science alongside a BS in Data Science from IIT Madras, I combine strong academic foundations with hands-on engineering experience to deliver practical, production-ready solutions.

Areas of Interest

Software Engineering & Development

Backend Development, API Integration, Object-Oriented Programming, Database Management, AI Integration

Data Science & Analytics

Machine Learning, Statistical Analysis, Algorithmic Optimization

Technical Skills

Languages, frameworks, and tools I work with.

Programming Languages

Python C C++ MySQL Java HTML

Frameworks & Libraries

Pandas NumPy Django Flask

Tools & Technologies

Git GitHub

Soft Skills

Technical Communication Presentation Skills Quick Learner Adaptability Leadership Event Management

Experience

Projects and applications I've built and shipped.

Jun 2026

AI-Powered Data Insight Engine

Python Django Ollama Llama

Engineered a backend application to bridge natural language user queries with relational SQL databases.
Integrated a local Ollama Llama 3.2 model to dynamically analyze fetched database records against user prompts, instantly generating precise, human-readable analytical insights and eliminating the need for manual SQL querying.

Feb 2025

Retail Inventory Management System

Python Tkinter SQL

Architected an SQL-backed inventory application for Hygine to track bulk and retail orders.
Reduced manual stock-taking time by 40% through software automation and optimized data structures.

Jan 2025

Intelligent Chatbot Application

Python REST API LLMs

Developed a responsive conversational chatbot using the Google Gemini API to process complex user queries.
Managed JSON data structures and optimized API calls to ensure reliable, low-latency system responses.

Internship

Professional industry training and hands-on experience.

Artificial Intelligence Using Python

Litz Tech, Coimbatore

June 10 – June 24, 2025 2 Weeks Coimbatore

Completed a focused internship in Artificial Intelligence using Python at Litz Tech. Demonstrated a high degree of devotion, professionalism, and dedication by fully participating in all assigned responsibilities. Maintained a high standard of attendance and timeliness throughout the program.

Python Artificial Intelligence Machine Learning

Certificate

Litz Tech — Internship Completion

Featured Projects

Deep dives into select projects I'm most proud of.

Software for Oil Management

A lightweight, efficient desktop application designed to automate stock tracking, manage sales, and forecast inventory needs for a retail oil business. Built with Python and Tkinter, this system replaces manual ledgers with a streamlined digital workflow.

Key Features

Tracks different oil types and quantities (in litres)
Uses multithreading for concurrent operations, avoiding wait time for SQL queries
Securely stores and retrieves inventory and transaction data using SQL

In Progress: Integrating an LLM via Ollama for easy natural-language access to stock and order details.

Python 3 Tkinter SQL

View Code

Probability of Scoring 50 Runs in an Innings

A data science project analyzing IPL cricket statistics to predict player performance. Used the IPL Complete Dataset (2008–2020) from Kaggle as the initial data source and applied both theoretical probability and Monte Carlo simulation methods.

Key Features

Converted raw CSV into processed ipl_players_data dataset via a data-preprocessing pipeline
Calculated probability of selected players scoring 50+ runs in upcoming matches
Dual approach: theoretical probability & Monte Carlo simulation

Python Pandas Statistics

View Code