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Achievement: YOLOAchievement: Pull Shark

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Nihal108-bi/README.md


🧠 About Me

  • Entry-level Data Scientist & Machine Learning Engineer
  • Strong hands-on experience in ML, Deep Learning & NLP
  • Python-first engineer focused on end-to-end AI pipelines
  • Built chatbots, persona generators, CV systems & ML APIs
  • Actively solving DSA + ML problems (LeetCode & Deep-ML)
  • Philosophy: understand the math → then write the code

🛠️ Skills & Tech Stack

🧑‍💻 Programming & Data

Python SQL Pandas NumPy

🤖 Machine Learning & Deep Learning

Scikit Learn TensorFlow PyTorch PySpark

🧠 NLP, LLMs & Generative AI

HuggingFace LangChain LLM Finetuning RAG Prompt Engineering Conversational AI LLM Integration

👁️ Computer Vision & Visualization

OpenCV Data Visualization Streamlit

🌐 Backend, APIs & Automation

Flask FastAPI REST APIs Docker GitHub Actions

🗄️ Databases & Cloud

MongoDB MySQL Snowflake Firebase AWS GCP Azure

⚙️ Automation, Agents & Tools

Zapier n8n AI Agents Lovable AI

🛠️ Data & Productivity

BeautifulSoup Excel Automation Git

📊 Problem Solving & Practice

  • 🧩 LeetCode: Data Structures & Algorithms
  • 🧠 Deep-ML: ML theory, math & implementation challenges
  • 🎯 Focus: patterns, optimization, and real reasoning — not brute force

👀 Profile Views

🐍 Contribution Activity

📫 Contact

Email: nihaljaisawal1@gmail.com

🚀 Open To Opportunities

I’m actively open to opportunities where I can build, learn, and ship real AI systems.

💼 Roles I’m Targeting

  • Machine Learning Engineer (Entry-Level / Intern)
  • Data Scientist (Entry-Level / Intern)
  • AI Engineer / GenAI Engineer
  • NLP Engineer / Conversational AI Developer
  • LLM Engineer / AI Agent Developer

🧑‍💻 Work Types

  • Full-time (Entry-Level)
  • Internships (Remote / Hybrid / On-site)
  • Freelance / Contract AI Projects
  • Early-stage Startup Roles (Founding / Core Engineer)
  • Open-source AI collaborations

🛠️ What I Can Contribute From Day One

  • Building and deploying ML / DL models
  • Developing LLM-powered apps (RAG, Chatbots, AI Agents)
  • API development using Flask / FastAPI
  • Data pipelines, model evaluation & iteration
  • Rapid prototyping of AI ideas into working products

🌍 Preferred Domains

  • Generative AI & LLM Applications
  • Conversational AI & AI Agents
  • Applied Machine Learning (real-world datasets)
  • Computer Vision & NLP-driven products

📩 If you’re hiring or building something AI-driven — let’s talk.

Pinned Loading

  1. AI-Powered-Network-Security-Detection-Pipeline-End-to-End-MLOps- AI-Powered-Network-Security-Detection-Pipeline-End-to-End-MLOps- Public

    End-to-end machine learning pipeline for network security threat detection, featuring automated data ingestion, schema & drift validation, feature transformation with KNN imputation, model training…

    Python 1

  2. Nihal-AI-ML-Practice-Hub Nihal-AI-ML-Practice-Hub Public

    🤖 Comprehensive AI/ML learning repository featuring hands-on notebooks on Python, Machine Learning, Deep Learning, LLM Fine-tuning, RAG (Retrieval Augmented Generation), and LLM Building. Documenti…

    Jupyter Notebook

  3. HR-Policy-RAG-Chatbot HR-Policy-RAG-Chatbot Public

    Built for a real AI Developer job application — Self-RAG + LangGraph + FastAPI + 8 interview prep kits. The prep is as production-grade as the code.

    HTML