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Samruddhi-jadh/README.md
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  B.Tech CSE – AI & ML  β”‚  CGPA 9.59  β”‚  Applied AI  β”‚  Open to Internships 2026  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

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🧠 Who Am I

I’m an AI/ML engineer who transforms cutting-edge research into real-world, deployable solutions. Over the past 2 years, I’ve built production ML pipelines, intelligent agentic AI systems, and AI-driven products across environmental science, data extraction & processing, and real-world bike rental demand prediction β€” not just prototypes, but tools that solve tangible problems. I thrive on challenges that push me to learn and innovate, and I aim to build systems that handle the trade-offs real-world applications face with elegance and efficiency. I’m seeking an internship where I can deliver meaningful impact from day one while growing toward becoming a leader in AI and agentic AI systems.
class Samruddhi:
    Role     = "AI Engineer"
    Exp      = "2 years Applied AI"
    CGPA     = 9.59

    Strengths = [
    "End-to-end ML pipelines",
    "Agentic AI & LLM-based systems",
    "RAG (Retrieval-Augmented Generation) pipelines",
    "Data extraction, cleaning & analytics",
    "Real-world forecasting & prediction models",
    "FastAPI, Streamlit & Docker deployment",
    "Production-ready ML system design",
    "Cross-domain AI applications (Environmental Science, Education)",
    "Rapid prototyping & iterative improvement"
]

    Status = "πŸ“¬ Open to internships and project collaborations"

πŸ† Recognition

πŸ“„Published Research Paper On
Deep Learning Approaches for Ocean Waste Detection: A Comparative Study of YOLOv8 and Faster R-CNN

πŸš€ Deployed 3 live production apps & APIs



πŸ›  Tech Stack

Languages

Python SQL

ML & Data

Scikit-learn LightGBM TensorFlow Pandas NumPy

LLMs & Agents

LangChain Gemini OpenAI WatsonX LangGraph

Backend & Deploy

FastAPI Flask Streamlit Docker

Databases

PostgreSQL MySQL


πŸ“Š GitHub Activity


πŸ’¬ Let's Talk

If you're working on interesting ML, data, or applied AI problems β€” I'd love to connect.

LinkedIn Email


Pinned Loading

  1. ContextLens ContextLens Public

    Context Engineering & Evaluation Toolkit for Deep AI Agents

    Python 1

  2. ProbeGuard ProbeGuard Public

    Adversarial Stress Testing and Root Cause Attribution for Production RAG Pipelines

    Python 1

  3. RideWise RideWise Public

    Jupyter Notebook

  4. EcoScribe EcoScribe Public

    "Bringing historical documents back to life with AI-powered clarity, context, and creativity."

    Python

  5. EcoVision EcoVision Public

    Emporing Oceans With Machine Learning Eyes

    Jupyter Notebook