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  • Orange Health
  • Bengaluru, India

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anupamkajith/README.md

Hi, I'm Anupam K Ajith πŸ‘‹

AI/ML & GenAI | M.Tech AI & Data Science @ IIIT Kottayam

Technical Support Engineer with 3+ years of experience in production systems, SQL-based analysis, debugging, and root cause analysis, currently transitioning into AI/ML and GenAI Engineering.

I am building hands-on experience through end-to-end projects in Machine Learning, Retrieval-Augmented Generation (RAG), MLOps, model deployment, and AI-powered applications.

πŸš€ Featured Projects

πŸ“š RAG Study Buddy

Local Retrieval-Augmented Generation system for querying PDF study notes using Sentence Transformers, ChromaDB, and Ollama.

View Repository

βš™οΈ MLOps Loan Default Pipeline

End-to-end machine learning pipeline with model comparison, MLflow experiment tracking, FastAPI serving, monitoring, automated retraining, Docker, testing, and GitHub Actions CI.

View Repository

πŸ“Š Customer Churn Analysis

Exploratory data analysis of telecom customer churn to identify churn drivers, high-risk customer segments, and potential retention strategies.

View Repository

🐧 MLOps Penguins Classifier

Dockerized machine learning classification pipeline using scikit-learn and the Palmer Penguins dataset.

View Repository

πŸ› οΈ Tech Stack

Programming: Python, SQL

Machine Learning: scikit-learn, Classification, Model Evaluation, Cross-Validation

Generative AI: RAG, LLMs, Embeddings, Semantic Search, Sentence Transformers, ChromaDB, Ollama

Data Science: Pandas, NumPy, Data Cleaning, Exploratory Data Analysis

MLOps: MLflow, FastAPI, Docker, Git, GitHub Actions, Pytest

Data & Monitoring: MySQL, Hive, Presto, Grafana, New Relic

🌱 Currently Exploring

  • Retrieval-Augmented Generation and advanced RAG architectures
  • Generative AI and multimodal systems
  • Production ML and MLOps
  • Model evaluation and monitoring

πŸŽ“ Education

M.Tech in Artificial Intelligence & Data Science
IIIT Kottayam

B.Tech in Information Technology
Cochin University of Science and Technology

Pinned Loading

  1. rag-study-buddy rag-study-buddy Public

    Local Retrieval-Augmented Generation (RAG) system for querying PDF study notes using Sentence Transformers, ChromaDB, and Ollama.

    Python 1

  2. mlops-loan-default-pipeline mlops-loan-default-pipeline Public

    End-to-end MLOps pipeline for synthetic loan-default prediction with MLflow, FastAPI, monitoring, automated retraining, Docker, and CI.

    Python 1

  3. customer-churn-analysis customer-churn-analysis Public

    Telecom customer churn analysis using Python, Pandas and EDA to identify churn drivers and customer retention insights.

    Jupyter Notebook

  4. mlops-penguins-classifier mlops-penguins-classifier Public

    Dockerized machine learning classification pipeline using scikit-learn and the Palmer Penguins dataset.

    Python