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Karan27q/README.md

Hi, I'm Karan

AI/ML Engineer focused on building intelligent systems, machine learning pipelines, computer vision applications, and LLM-powered solutions.

I work on applied machine learning, anomaly detection, deep learning, and production-oriented AI systems with a strong focus on solving real-world engineering problems.


About Me

  • AI/ML Engineer actively seeking full-time opportunities
  • Experienced in building end-to-end ML pipelines
  • Interested in Machine Learning Engineering, Applied AI, Computer Vision, and Cybersecurity AI
  • Passionate about deploying scalable, production-ready intelligent systems

Tech Stack

Languages

Python • Java • SQL

Machine Learning & Deep Learning

TensorFlow • Keras • Scikit-learn • XGBoost • Random Forest • SVM

LLMs & AI Systems

LangChain • Ollama • Hugging Face Transformers • Prompt Engineering • REST APIs

Computer Vision

OpenCV • YOLOv2 • Image Preprocessing • Object Detection • Data Augmentation

Data Science & Analytics

Pandas • NumPy • Matplotlib • Power BI • Feature Engineering • Model Evaluation

Tools & Infrastructure

Git • GitHub • Flask • Docker • Linux • Jupyter Notebook • Google Cloud Platform

Domains

Cybersecurity AI • Intrusion Detection • Network Traffic Analysis • Anomaly Detection


Featured Projects

Intrusion Detection System (Cybersecurity AI)

Machine learning-based intrusion detection system for identifying malicious network traffic using anomaly detection and supervised learning.

Highlights

  • Feature engineering on raw network packet data
  • Low false-positive threat detection
  • Performance evaluation using Precision, Recall, F1-score, and AUC-ROC

Gold Pattern Detection System

Computer vision system for automated gold chain pattern classification and similarity detection.

Highlights

  • Custom YOLOv2-based object detection
  • Image preprocessing and augmentation pipeline
  • Automated visual inspection workflow

LLM Chatbot Application

Production-ready chatbot built using LangChain and Ollama-hosted models.

Highlights

  • Modular architecture with pluggable model backends
  • Prompt pipeline optimization
  • Retrieval-Augmented Generation experimentation

Gold Price Forecasting System

Built during internship to predict gold price trends using machine learning regression models.

Highlights

  • Random Forest, SVM, Linear Regression, XGBoost
  • Hyperparameter tuning with GridSearchCV
  • Interactive Power BI insights dashboard

Current Focus

Currently building and improving systems in:

  • Applied Machine Learning
  • LLM Applications
  • Computer Vision
  • AI for Cybersecurity
  • Intelligent Automation

GitHub Stats



Connect

LinkedIn: https://linkedin.com/in/karans7


Open to full-time roles in:

Machine Learning Engineering • AI Engineering • Data Science • Applied AI • Software Engineer • Fullstack Developer

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