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.
- 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
Python • Java • SQL
TensorFlow • Keras • Scikit-learn • XGBoost • Random Forest • SVM
LangChain • Ollama • Hugging Face Transformers • Prompt Engineering • REST APIs
OpenCV • YOLOv2 • Image Preprocessing • Object Detection • Data Augmentation
Pandas • NumPy • Matplotlib • Power BI • Feature Engineering • Model Evaluation
Git • GitHub • Flask • Docker • Linux • Jupyter Notebook • Google Cloud Platform
Cybersecurity AI • Intrusion Detection • Network Traffic Analysis • Anomaly Detection
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
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
Production-ready chatbot built using LangChain and Ollama-hosted models.
Highlights
- Modular architecture with pluggable model backends
- Prompt pipeline optimization
- Retrieval-Augmented Generation experimentation
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
Currently building and improving systems in:
- Applied Machine Learning
- LLM Applications
- Computer Vision
- AI for Cybersecurity
- Intelligent Automation
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
