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Arjunlakhanpall/README.md

Hi 👋, I'm Arjun Lakhanpal

A passionate AI/ML Engineer .

Profile Views

I’m Arjun Lakhanpal, an Electronics and Communication Engineering student at BPIT, GGSIPU Delhi, focused on bridging real-world challenges with technological innovation. My core interests are in AI, machine learning, image processing, and research-driven engineering. I build impactful solutions using Python, TensorFlow, and other advanced technologies. I also share my knowledge through teaching, open-source contributions, and creating courses on Udemy. Currently, I’m exploring Large Language Models (LLMs) and the science behind intelligent systems.

💼 Experience

Software Intern — Pocket FM
Jul 2025 – Present · 4 mos
📍 Bengaluru, Karnataka, India · Hybrid
Skills: Continuous Integration & Continuous Delivery (CI/CD), Software Innovation, Backend Automation, Data Engineering

Intern — AICTE IDEA Lab AJCE
Jun 2024 – Aug 2024 · 3 mos
📍 Dwarka, Delhi, India · On-site
Skills: Embedded Systems, IoT, Python for Automation, Hardware Prototyping

Trainee — Medanta Hospital (Gurgaon)
Jan 2024 – Feb 2024 · 2 mos
📍 Gurugram, Haryana, India · Hybrid
Skills: Biomedical Signal Processing, Clinical Data Analysis, HealthTech Research

🌟 Highlights

  • 📚 Udemy Instructor: Machine Learning in Hindi: Beginner to Master
  • 🎓 ECE + Minor in Computer Science | BPIT, GGSIPU
  • 🔋 Contributor to battery simulation libraries (LiSimPack with PyBaMM)
  • 🐍 Proficient in Python, TensorFlow, PyTorch, OpenCV

📡 What I Love

  • AI research & neural networks
  • Biomedical imaging & scientific computing
  • Sharing knowledge & public speaking

📫 Connect with Me

I'm always open to collaborations or a friendly chat!

Portfolio X LinkedIn Buy Me a Coffee

🛠️ Languages, Frameworks & Tools

Python JavaScript Java SQL TensorFlow PyTorch Django Node.js React Scikit-learn OpenCV Matplotlib XGBoost Transformers Docker Google Colab Google Cloud Generative AI NLP LLMs Selenium BeautifulSoup

📈 GitHub Stats

“Learning never exhausts the mind – especially when curiosity leads.”

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  1. Iris_Flower_Classification Iris_Flower_Classification Public

    Iris Flower Classification is a classic problem in machine learning and pattern recognition, often used to demonstrate various classification techniques. The dataset associated with this problem is…

    Jupyter Notebook 2

  2. CERN-dielectron-dataset CERN-dielectron-dataset Public

    analysis of the CERN dielectron dataset-including data exploration, visualization, feature engineering, and machine learning classification

    Jupyter Notebook 2

  3. Saline-Level-Detector-Project Saline-Level-Detector-Project Public

    Saline level detection is crucial in applications like agriculture, aquaculture, environmental monitoring, and medical settings to ensure optimal salinity levels. Salinity affects plant growth, fis…

    Python 2

  4. openjournals-LiSimPack-A-Python-Library-for-Battery-Pack-Simulations-with-PyBaMM openjournals-LiSimPack-A-Python-Library-for-Battery-Pack-Simulations-with-PyBaMM Public

    LiSimPack is a Python library built on PyBaMM for simulating battery packs. It allows users to model multi-cell configurations, thermal management, voltage balancing, and more. The library integrat…

    3

  5. Image-Enhancement-and-Denoising-with-Haar-Wavelet-Decomposition Image-Enhancement-and-Denoising-with-Haar-Wavelet-Decomposition Public

    This project focuses on image fusion, enhancement, and denoising using Haar wavelet transform. The objective is to improve image quality by merging multiple images and reducing noise while preservi…

    Jupyter Notebook 2

  6. Metaverse-Gaming-Built-Freelance-Project Metaverse-Gaming-Built-Freelance-Project Public

    Metaverse gaming Built in Freelancing

    JavaScript 2