About

I graduated with a B.Tech in Computer Science and Engineering from Adhiyamaan College of Engineering in 2025. During my studies, I completed internships in data science and UI/UX, where I built ETL pipelines, ML models, and interactive dashboards. My projects include deploying RAG systems, multi-agent logistics AI, and property price prediction tools, showcasing my skills in Python, SQL, JavaScript, Java, HTML/CSS, FAISS, Qdrant, Flask, FastAPI, Postgres, MySQL, and TensorFlow. I am now looking for my first full-time role as a Full-stack Developer.

Experience

1. Data Science Intern

   Inspire Softech Solutions

   Dec 2023 – Jan 2024 · Chennai, India

   Built a Python ETL pipeline that cleans up and merges multiple datasets and reduced the time taken to process data by 30%. Built supervised ML models in Scikit-learn and executed complex SQL queries to extract structured data which were then used to build business intelligence reports and predictions reviewed by senior engineers.

2. UI/UX & Data Intern

   Makelabs

   Jun 2024 – Jul 2024 · Krishnagiri, India

   Built dashboards with integrated REST APIs in Python and JavaScript showcasing key performance indicators and business intelligence insights. Collaborated with the product team to design and prototype UI wireframes, translating stakeholder requirements into functional interface layouts. Conducted usability reviews and iterated on interface elements based on user feedback, improving dashboard navigation and data readability.

Education

1. Adhiyamaan College of Engineering (Anna University), Tamil Nadu, India

   B.E. Computer Science and Engineering

   2021 – 2025

   Relevant courses: Machine Learning, Deep Learning, Statistics & Probability, Data Structures & Algorithms, Database Management Systems, Artificial Intelligence.

Projects

• Logistics AI Agent — Multi-Agent Coordination & Decision Support

  • Python
  • FastAPI
  • OSRM
  • Scikit-learn
  • Streamlit

  Built a multi-agent system in Python/FastAPI for logistics operations, where the individual agents were responsible for routing optimization using OSRM algorithm, Scikit-learn-based delay prediction, and rule-based fleet management. Built an LLM-based coordinating agent running a continuous loop of Perceive → Decide → Act, making decisions based on the retrieved routing and Open-Meteo weather data and act via Streamlit control tower dashboard.

• Hospital Management RAG System — Applied ML & NLP

  • Python
  • FAISS
  • LangChain
  • Scikit-learn

  Designed the schema and indexing for the FAISS vector database for the LangChain RAG pipeline — chunking, transformer-based embedding, and retrieval-to-generation handoff. Built a natural language query interface for hospital management data and validate the output accuracy with respect to the ground truth data using Scikit-learn and input validation.

• PropPredict AI — ML Investment Intelligence & Property Price Prediction

  • Python
  • XGBoost
  • Random Forest
  • Streamlit
  • GitHub CI/CD

  Built a production ML system using XGBoost and Random Forest to predict property prices, returns on investment, and investment score by applying supervised modeling, feature engineering, and statistical analysis on high-dimensionality datasets. Built an interactive dashboard with an AI chatbot (NLP+LLM) which enables business stakeholders to self-serve their investment insights — deployed via Streamlit Cloud with GitHub CI/CD, showcasing end-to-end ownership of the data science lifecycle.

• Personal Data Analyst AI Bot — Flask API & Structured LLM Output

  • Python
  • Flask
  • JSON
  • LLM

  Designed the prompt and a structured output schema so that the LLM outputs clean JSON format and exposed the pipeline as a Flask REST API. Reduced the manual efforts in generating reports by 40% and filtered out inconsistent/hallucinated LLM outputs. Deployed the bot as a live Flask REST API integrated into reporting workflows, enabling non-technical stakeholders to generate on-demand structured reports without manual intervention.

Certifications

• Artificial Intelligence

  Simplilearn

• Data Analytics Job Simulation

  Deloitte

• Prompt Engineering

  Great Learning

• Million Prompters

  Dubai Future Foundation & Dubai Centre for Artificial Intelligence