I'm passionate about leveraging technology for positive impact, with a focus on designing and developing machine learning (ML) solutions. Over the past 16 years, I've specialized in areas like computer vision, natural language processing, knowledge graphs, and large/small language models (LLMs/SLMs). My journey has been driven by a desire to push the boundaries of what's possible with ML, and I've been fortunate to contribute as a researcher, engineer, and leader in creating innovative products, services, and prototypes.Throughout my career, I've gained extensive experience working with various data modalities, including image, video, text, LIDAR, and other wearable sensor data. I've led innovation efforts that have significantly enhanced product performance, and I’m proud to have published over 25 top-tier peer-reviewed articles, secured 25 US patents, and successfully shipped multiple computer vision and ML applications. My PhD work on document analysis earned the Best Paper Award at ICPR in Tokyo.At Adobe, I spearheaded the creation of an Intent understanding platform and a creative knowledge graph, which led to the development of novel Multimodal/NLP pipelines for search and discovery. My work has contributed to impactful search and recommendation features in flagship products like Adobe Photoshop, Lightroom, and Adobe Express. Notably, I developed models for semantic search, multimodal intent detection and photographer genre prediction that resulted in significant click-through rate (CTR) uplift and reduction in null queries in product search.During my time at Apple, I played a key role in developing, integrating, and field-testing vehicle and pedestrian detection models in autonomous systems, achieving state-of-the-art performance with over 92% mean average precision.Beyond my professional achievements, I'm dedicated to contributing to the academic community. I've released two public datasets—Mobile Image Quality Dataset and Egocentric Multi-Step Procedure Dataset—and actively review for leading conferences and journals, including IEEE CVPR, ICCV, AAAI, T-PAMI, T-IP, CVIU, JMLR, and IJDAR. Mentoring junior and aspiring ML engineers is also something I’m passionate about, as I believe in the importance of nurturing the next generation of technologists.If you’re interested in learning more about my work, feel free to check out my Google Scholar profile. I’m always open to connecting with like-minded professionals who share a passion for technology and innovation.