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BarathKumar-G/README.md

◈ About Me:

I’m a Data Science student focused on Machine Learning and Artificial Intelligence,
with a strong interest in building intelligent systems that turn data into meaningful insights.
I enjoy experimenting with models, understanding the theory behind algorithms,
and continuously improving through hands-on projects and real-world problem solving.

I’m constantly exploring new ideas in AI, pushing myself to learn deeper,
build better systems, and grow with a field that never stops evolving.

⚙ Tech Stack

Python C++

PyTorch NumPy Pandas scikit--learn

FastAPI

PostgreSQL OracleSQL Supabase

AWS Docker Git GitHub

◢ GitHub Stats:

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  1. Agentic-AI-Workflow-Builder Agentic-AI-Workflow-Builder Public

    Production-ready AI workflow engine for building and executing multi-step LLM pipelines with validation and real-time monitoring.

    Python

  2. ask-my-doc-rag ask-my-doc-rag Public

    A modular Retrieval-Augmented Generation (RAG) application for domain-specific question answering over custom documents. Implements document ingestion, chunking, and semantic retrieval using Chroma…

    Python

  3. Credit-Card-Strategy-Analysis Credit-Card-Strategy-Analysis Public

    Credit card strategy analysis using Python & Power BI to identify customer segments and recommend data-driven financial products.

    Python

  4. CropGuard-GAN-CNN CropGuard-GAN-CNN Public

    GAN-enhanced CNN pipeline for crop disease detection with targeted data balancing to improve minority class performance.

    Jupyter Notebook

  5. FraudLens-Agentic-AI-Fraud-Detection-Platform FraudLens-Agentic-AI-Fraud-Detection-Platform Public

    Real-time fraud detection system built with Apache Kafka, Amazon S3, and ML on Databricks. Includes an agentic AI layer powered by an LLM for reasoning, explanations, and automated decision-making.

    Python

  6. LLM-Based-Mathematical-Reasoning-Evaluation-Optimization-System LLM-Based-Mathematical-Reasoning-Evaluation-Optimization-System Public

    A production-style AI system that evaluates and improves LLM reasoning performance using prompt engineering (SCoT) and LoRA fine-tuning, with automated benchmarking, error analysis, and interactive…

    Python