I'm a passionate technologist with a wide blend of interests spanning semiconductors, supply chain optimization, and cybersecurity. Currently diving deep into the world of Machine Learning and Deep Learning, I love building innovative solutions.

• Research Focus: LLM Fine-tuning, Knowledge Graph Construction, Computer Vision
• Industry Interests: Semiconductor manufacturing, Supply chain resilience, Cybersecurity frameworks
• Currently Learning: Advanced ML/DL techniques, MLOps, and AI Safety
• Open to: Collaborations in AI research, supply chain tech, and security solutions

Comprehensive experiments in fine-tuning Large Language Models and transformer architectures

• Tech Stack: Python, Transformers, PyTorch
• Key Features: Custom training pipelines, model optimization techniques

LLM based system for extracting semantic triplets from text to build knowledge graphs

• Tech Stack: Python, NLP libraries, Graph databases
• Applications: Information extraction, semantic search, knowledge discovery

VLM and LLM based video analysis system for monitoring student engagement using Vision-Language Models

• Tech Stack: Computer Vision, VLLM, Deep Learning
• Impact: Automated attention tracking, behavioral analysis

Efficient file transfer utility with cross-platform capabilities

• Tech Stack: C, Network Programming
• Features: Secure file transfer, automated backups, cross-platform compatibility

Real-time CPU and GPU temperature monitoring with intelligent alerts for Linux systems

• Tech Stack: C++, System Programming
• Features: Real-time monitoring, threshold alerts, performance optimization

I'm always interested in discussing emerging technologies, collaborative projects, and innovative solutions in AI, ML, DL, human resources management and supply chain management.