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chaitanya2593/README.md

Hey 👋

  • 🔭 I’m currently working as Senior Applied AI Scientist at Zooplus SE where primarly focusing on Generative AI tools & NLP topics.
  • 🌱 My main passion is work on LLMs , prompt engineering use cases and my main goal is to build budget NLP models for complex problems. (Don't hit pigeons(problems) with cannons (Fancy heavy solutions))
  • 💬 Ask me about Data science, Python, NLP, Machine learning and Power BI.
  • 📝 LinkedIn Profile

Skills

Here are some of the skills and technologies I've acquired and mastered over the years:

  • 💻 Programming Languages:

  • Python, C++, R, SQL, NoSQL, Bash, Regex scripting

  • 🧠 AI & Machine Learning:

  • Large Language Models (LLMs), Prompt Engineering, Fine‑tuning & RAG systems, Deep Learning, Reinforcement Learning, NLP pipelines, Embedding models, Generative AI workflows, Model compression & optimization, Time Series Forecasting, Explainable AI (XAI)

  • 🛠️ Technologies & Tools: Azure Machine Learning, Azure OpenAI, AWS Sagemaker, Docker, Kubernetes, MLflow, Weights & Biases, Power BI, SAP Analytics Cloud, Tableau, CUDA, OpenCV, GitHub Actions, Vector Databases (Pinecone, FAISS), Langfuse

  • 📦 MLOps & Deployment:

  • CI/CD for ML, Model monitoring & drift detection, Feature store usage, API development (FastAPI, Flask), Productionizing LLM‑based services

  • 📚 Certifications:

    • Microsoft Azure Data Scientist Associate (DP-100)
    • Computer Vision with OpenCv from Udemy
    • Introduction to Financial Accounting from Coursera

Projects

Take a look at some of the personal projects I've worked on:

  1. Presidential Tweets Influence on Crypto Prices - Prediction of presidential tweets on the Crypto prices.
  2. Restructuring Strategy Recommendations - Firm benchmark analysis on Charah and restructuring strategy recommendations.
  3. IMDB_Sentiment_Analysis - Classifying sentiments of texts using simple to state-of-the-art Language models and performing the comparision analysis.
  4. Time Series modelling of Crypto Currencies - Time series analysis to predict the returns from 10 Crypto coins.
  5. mcp-receipe-recommender-app - A Streamlit + CrewAI + MCP application that recommends Food receipts or places to order the food. This repo was educational purpose only.

Resume

You can download my resume/CV here.

Contact Me

Feel free to reach out to me via email at [chaitanya2593@gmail.com] or connect with me on LinkedIn. I'm always open to new opportunities and collaborations.

Let's connect and build amazing things together! 🚀

@Powered by Python, curiosity and resilience.

Pinned Loading

  1. SPM_G3 SPM_G3 Public

    HTML 1

  2. Crypto_Timeseries_Analysis Crypto_Timeseries_Analysis Public

    Jupyter Notebook

  3. GSFM_t9_Presidential_Tweets GSFM_t9_Presidential_Tweets Public

    The repo is created to store the GSFM_t9_Presidential_Tweets project files

    Jupyter Notebook

  4. IMDB_Sentiment_Analysis IMDB_Sentiment_Analysis Public

    The repo is created to show case the sentiment Analysis performed IMDB dataset using the State of the Art Classification approaches.

    Jupyter Notebook

  5. Credit_Risk_Analysis Credit_Risk_Analysis Public

    Credit_Risk_Analysis

    HTML 1

  6. ML_Model_E2E_Demo ML_Model_E2E_Demo Public

    A demonstration of Machine Learning model E2E

    Jupyter Notebook