Leading a multidisciplinary R&D team, fostering innovation and collaboration to develop and launch pioneering IoT solutions. Aligned R&D strategies with corporate goals, driving the successful conception and execution of cutting-edge products (13+ patents granted). Recruited and cultivated the right talent to deliver impactful results within set timelines and budgets.Created architecture, designed and implemented five products with production-level quality (scalable systems developed, user guides, novel algorithms, and manufacturing plans included) AWS, Elastic Beanstalk, Lambda functions, Python, C++/C.setup proper CI/CD, agile project management style, version control, deployment and rollback procedures for production products with the engineering team.Managed partnership integration projects and mentored full-time employees and interns over the years. I provided the interns with projects that suit their needs, allowing them to personally grow and benefit the company by providing useful projects and Proof Of Concepts (POCs) (e.g., optimal light, IasoNotes, Smart Attendance).Supported in resolving engineering challenges across operations, marketing, and sales departments, contributing to the attainment of internal objectives set by stakeholders. Collaborated with non-profit organizations in creating a vision to target under-served communities with custom outdoor air quality sensors to analyze the environments. I handled the technical aspects and designed the tool.

Led teams of students to design a novel Road Side Unit (RSU) that can extract road information and multicast the data to vehicles on the road. Another system was placed on each car to do real-time processing and feedback to the driver.Led team of Ph.D. students to design a secure edge processing system for healthcare where patient's data is stored at their home and ML models are deployed on edge to make inference. The system provides feedback to ML engineers without exposing any sensitive information. Built a clean-slate kernel module that replaces 802.11 mac80211. The system is operational on 802.11/b/g/n/ac and supports robust name-based multicast communication. The system is portable on multiple architectures (FPGA, android, x86, ARM)Reverse-engineered Atheros Qualcomm chips firmware code, modified ar9271 open source code, and flashed each firmware accordingly to gain more access over the physical layer.Designed low-barrier entry custom protocol analyzer on edge with a flexible cloud analysis component that allows users to tag and analyze their data with a simple markup language.