Visionary Systems Architect & Security Engineer
Bridging the gap between low-level system architecture and high-level artificial intelligence. Specialized in building secure, scalable full-stack systems with a focus on AI/ML integration and robust infrastructure.
Who I am and what I do
Systems Engineer with a core focus on high-performance database optimization and enterprise-scale infrastructure. Currently optimizing SAP HANA environments at Bizhub Consulting, where I bridge the gap between raw system performance and business intelligence. Academic foundation in Computer Engineering from Everest Engineering College, specialized in scalable architectures.
Architecting secure, intelligent systems by combining Full-Stack proficiency with AI/ML and Cybersecurity. Proven track record in deploying local LLMs and computer vision models (87%+ accuracy on ECG analysis) within production-ready environments. Driven by a security-first mindset, ensuring that every layer from the kernel to the frontend is hardened and optimized.
Technologies and tools I master
Practical AI and full-stack projects
Engineered a fully offline AI ecosystem with local LLM integration. Implemented custom natural language parsing to control OS-level functions with zero external API dependencies, prioritizing data privacy and low-latency response.
Developed a medical diagnostic system using Computer Vision and ML trained on ECG datasets. Achieved 87%+ accuracy by ensemble-layering three distinct ML classifiers, deployed via a secure Flask REST API.
Architected a full-stack resume engine leveraging local LLMs for content optimization. Reduced content creation time by 80% while maintaining strict data residency through a decoupled MERN architecture.
Designed a comprehensive financial management system with real-time data visualization. Integrated advanced analytics for spending patterns and automated budget forecasting using a scalable MongoDB schema.
Open to AI, full-stack, and system engineering opportunities