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ninjaabhinav/README.md

Hi πŸ‘‹, I'm Abhinav Mishra

AI/ML Developer focused on building real-world ML & GenAI systems


πŸ‘‹ Welcome to My GitHub Profile!

I'm an engineering student specializing in Artificial Intelligence & Machine Learning, focused on building practical, end-to-end systems using Machine Learning and Generative AI.

I care about real problem-solving, not just theoryβ€”most of my work revolves around applying ML models, LLMs, and data-driven approaches to usable products.


πŸ‘¨β€πŸ’» About Me

  • πŸŽ“ Final year B.Tech student (AI & ML)
  • 🧠 Strong foundation in mathematics, ML concepts, and problem-solving
  • πŸ’» Comfortable with Python, JavaScript, SQL, C++, and Java
  • πŸ”₯ Focused on Machine Learning, GenAI, and DSA
  • πŸ“‚ Building ML + RAG-based applications and deep learning projects
  • ⚑ Interested in AI systems that solve real-world problems
  • πŸ“« Reach me at: [email protected]

🧠 What I'm Working On

  • Building GenAI applications using RAG pipelines
  • Developing ML models for real-world prediction tasks
  • Strengthening DSA + core CS fundamentals for placements

πŸ›  Tech Stack

Languages

  • Python, JavaScript, SQL, C++, Java

AI / ML / GenAI

  • scikit-learn
  • PyTorch
  • NumPy, Pandas, Matplotlib
  • LangChain
  • HuggingFace
  • Groq API
  • RAG (Retrieval-Augmented Generation) pipelines

Development & Tools

  • Git, GitHub, VS Code
  • Streamlit
  • Jupyter Notebook

Databases

  • MySQL, SQLite

πŸ“œ Projects Focus

  • 🧠 ML models for prediction (classification & regression)
  • πŸ€– GenAI apps (RAG, summarization, Q&A systems)
  • πŸ“Š Data-driven applications with real-world use cases

🎯 Goals

  • Become internship/job-ready for AI/ML roles in next few months
  • Build high-quality, production-like ML/GenAI projects
  • Transition into SDE/ML Engineer role with strong fundamentals

πŸš€ Languages and Tools


πŸ“¬ Get in Touch


Pinned Loading

  1. NeuroBarrier-AI NeuroBarrier-AI Public

    ML-based application for predicting BBB permeability and aqueous solubility from molecular features (ADMET-focused).

    Jupyter Notebook

  2. StudyHelper StudyHelper Public

    GenAI-powered learning assistant that uses RAG, Groq, and YouTube transcripts to generate summaries, Q&A, and quizzes from lectures.

    Python

  3. Target-Classification-model Target-Classification-model Public

    Forked from aryanoutlaw/Target-Classification

    CNN-based deep learning model for image classification, built with PyTorch and trained to accurately identify target categories from visual data.

    Jupyter Notebook