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Ashwin14101/README.md

Hi πŸ‘‹, I'm Kotha Ashwin

Data Science & AI Engineer | LangChain Β· RAG Β· Microsoft Fabric Β· Scikit-learn

Typing SVG

Ashwin14101 followers


πŸ™‹β€β™‚οΈ About Me

  • πŸŽ“ B.Tech Computer Science @ Sai University, Chennai | CGPA: 8.33
  • πŸ’Ό Data Science Intern @ Acemegrade β€” EDA, ML modelling, Scikit-learn
  • πŸ† Microsoft Certified: Fabric Data Engineer Associate DP-700 & Analytics Engineer DP-600
  • πŸ€– Built production RAG systems over 50+ clinical documents with LangGraph + Pinecone
  • πŸ“Š Architected a Medallion data platform on Microsoft Fabric ingesting 200+ retail transactions/day
  • πŸš€ Deployed a live Medical Chatbot powered by Gemini 2.5 Flash + LangChain + Pinecone
  • πŸ“« Reach me at: ashwin10e.vhs@gmail.com
  • 🌍 Based in Chennai, India

πŸš€ Featured Projects

Project Description Stack Live
πŸ₯ Medical Chatbot RAG-powered chatbot answering clinical questions from medical PDFs with hallucination-resistant responses LangChain Β· Gemini 2.5 Flash Β· Pinecone Β· Streamlit β–Ά Live
πŸ€– LangChain & LangGraph Agents Prompt chains, RAG, ReAct agents, stateful graphs with MemorySaver & multi-agent CrewAI systems LangChain Β· LangGraph Β· CrewAI Β· Gemini Β· Pinecone β€”
πŸ’Ό AI Job Recommender ATS resume scoring, skill gap analysis, 6-month roadmap, cover letter gen & live job matching Streamlit Β· Groq LLaMA Β· Apify Β· spaCy β€”
πŸ“° AI News Aggregator Scrapes live news β†’ TextRank summarisation + spaCy NER + K-Means topic clustering Python Β· spaCy Β· NLTK Β· Scikit-learn β€”
πŸ’¨ Wind Power Prediction Random Forest regression model for predicting wind energy output with feature engineering Scikit-learn Β· Pandas Β· Matplotlib β€”
πŸ“Š Data Analysis Portfolio EDA, statistical analysis & ML across real-world datasets (Titanic, Housing, Smartphones) Pandas Β· Seaborn Β· Scikit-learn Β· Matplotlib β€”
🧠 Deep Learning Portfolio Neural networks, CNNs, NLP & customer churn prediction projects TensorFlow Β· Keras Β· PyTorch Β· NumPy β€”

πŸ› οΈ Tech Stack

🐍 Languages

Python SQL C

πŸ€– AI / ML / Data Science

Scikit-learn TensorFlow PyTorch XGBoost Pandas NumPy Matplotlib Seaborn

🦜 LLM & AI Frameworks

LangChain HuggingFace Pinecone

πŸ—οΈ Data Engineering

Microsoft Fabric Apache Spark Delta Lake dbt Power BI

πŸ—„οΈ Databases

PostgreSQL MySQL

βš™οΈ DevOps & Tools

Git GitHub Actions Docker Flask FastAPI Linux VS Code


πŸ… Certifications


πŸ“Š GitHub Stats


🌐 Connect With Me


"Data is not just numbers β€” it's the language of decisions."

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  1. Medical-Chatbot-With-LLMs-LangChain-Pinecone-Flask-AWS Medical-Chatbot-With-LLMs-LangChain-Pinecone-Flask-AWS Public

    πŸ₯ RAG-powered medical chatbot using LangChain, Google Gemini 2.5 Flash, Pinecone Vector DB & Flask. Answers clinical questions from ingested medical PDFs with hallucination-resistant, context-groun…

    Jupyter Notebook

  2. langchain-langgraph-agents langchain-langgraph-agents Public

    Structured collection of LangChain & LangGraph notebooks: prompt chains, RAG, ReAct agents, stateful graphs with MemorySaver, multi-agent CrewAI systems, and a career AI agent. Built with Gemini + …

    Jupyter Notebook

  3. ai-job-recommender ai-job-recommender Public

    AI-powered career assistant: ATS scoring, skill gap analysis, 6-month roadmap, cover letter generator, and live job matching from LinkedIn & Naukri. Built with Streamlit + Groq LLaMA + Apify.

    Python

  4. ai-news-aggregator ai-news-aggregator Public

    Modular NLP pipeline: scrapes live news, runs TextRank summarisation, spaCy Named Entity Recognition, and K-Means topic clustering. Built with Python, spaCy, scikit-learn, NLTK.

    Python

  5. Deep-Learning-Portfolio Deep-Learning-Portfolio Public

    Deep Learning assignments and projects covering neural networks, CNNs, NLP, and predictive modeling using TensorFlow/Keras and PyTorch.

    Jupyter Notebook

  6. Data-Analysis-Portfolio Data-Analysis-Portfolio Public

    Data analysis portfolio covering EDA, statistical analysis, and machine learning using Python, Pandas, Matplotlib, Seaborn, and Scikit-learn.

    Jupyter Notebook