I am a Software Development Engineer specializing in Machine Learning, with over 7 years of experience spanning machine learning, computer vision, and AI solutions. I led several impactful projects including a document summarization initiative that achieved a 65% accuracy through advanced LLM techniques, and implemented RAG solutions that reduced audit processing time by 40%. I developed efficient time-series prediction models and contributed to vector search initiatives, achieving data ingestion rates of 1.14 GB per minute. My technical expertise has been recognized through published machine learning blog posts and technical presentations to enterprise architects. 

Previously, at RTI International, I developed innovative computer vision solutions including a Multi-Object Tracking System for museum analytics and implemented neural networks for crop classification, improving accuracy to 96%. At CROI Media, I built various AI-powered retail solutions including object detection systems, gender/age classification models, and AR applications for virtual shopping experiences. My research experience at PES University involved optimizing LiDAR-based distance measurements and developing novel computer vision methods that reduced computation time by 50%. 

I combine deep technical expertise in ML/AI with practical engineering experience across diverse domains including computer vision, NLP, speech processing, and IoT. My focus is on developing scalable, production-ready ML solutions that deliver measurable business impact while pushing the boundaries of what’s possible with emerging AI technologies.