● Developed a scalable, dynamic frame rate streaming service for a smart shopping cart, achieving an ultra-low live streaming delay of just 2 seconds. Enabled cloud-based inference and integrated edge-based inference using activity detection models like MoviNet.● Led the development of a groundbreaking machine vision-based Fiber Termination Robot, fully automating the fiber termination process. Achieved a 96% success rate and increased production capacity 40x through parallel control and ML/CV-based automation.● Successfully ported the Android Operating System (Uboot, Kernel, Android) for the RK3588 motherboard, with seamless integration of modules such as DSI, touch, backlight, NPU, USB, USB-OTG, WiFi, and Bluetooth.● Spearheaded high-impact engineering projects across North America, specializing in industrial automation, machine learning, and computer vision, delivering innovative solutions for clients.● Managed and scaled engineering teams, with a focus on the Industrial Automation and SAMA (Software, Algorithms, Machine Learning & AI) groups, driving the company’s growth and technological advancements.

● Led and scaled a multidisciplinary team of 20+ engineers and designers to automate a fiber optics factory in Aurora, Illinois, implementing advanced sensor, robotics, and computer vision systems.● Developed manufacturing optimization solutions, including Polarity Station automation and anomaly detection during fiber curing, which boosted production efficiency and generated over $2 million in annual savings.● Built and deployed the Factory Operating System (FOS) — a comprehensive ecosystem for tracking, measuring, and optimizing production and operator KPIs on the factory floor. This system identified choke points and minimized rework, streamlining overall operations.

● Designed and implemented automation systems like the Template Projector Automation and Vision-based Product Tracking for viaPhoton, a fiber cable manufacturer in Aurora, Illinois, leading to annual savings exceeding $1.5 million.● Established and managed a multi-modal data collection pipeline capable of ingesting terabytes of data for People Metrics, a SaaS platform utilizing Computer Vision and Machine Learning (ML) to assess the workforce’s Key Productivity Indicators (KPIs).● Developed automated CI/CD pipelines for training Computer Vision models, along with packaging and deploying People Metrics software across both Windows and Linux systems.

● Engineered the Fiber Organizer Robot, incorporating computer vision, machine learning, and control systems to automate the sorting of 250-micron fibers (same as human hair thickness), increasing the production capacity by 500%.● Designed and implemented computer vision algorithms using classical machine learning approach to accurately extract fiber colors for sorting, resulting in a 700% increase in sorting speed.● Spearheaded the optical configuration for the Fiber Organizer, utilizing Cognex/Allied Vision cameras and telecentric lenses from Edmund Optics to ensure precision in fiber detection.● Deployed and optimized advanced AI & ML algorithms (CNNs, Object Detection Models)on platforms such as Raspberry Pi, Google Coral, and Max Sipeed, significantly improving accuracy and performance on resource-constrained devices.

● Researched and presented state-of-the-art developments in communication systems and automation

● Collaborated with senior engineers to install instrumentation on a newly constructed ammonia tower, ensuring its timely commissioning and operational readiness.● Worked with a range of instruments including vibration sensors and RTDs, as well as control systems such as PLCs and DCS, in the process control industry.