Featured Projects:- The Pat McAfee Show - Thunderdome, Live Production Studio - The Jim Rome Show - Costa Mesa, Live Production Studio- ESPN Sprinter Labs - Mobile Production Sprinter Van - Altamed Corporate Multicamera Live Content Studio - Barry's X: HIIT Workout at Home - Online On Demand- SOLO Cinebot - Mobile unit for REMI Production - The Studio Node - All-in-one portable live broadcast and podcast kit - MSG SPHERE - Outdoor security and structural monitoring camera and network setupKey Responsibilities:Project Leadership: Spearhead the technical operations for diverse broadcast productions and system integrations for various studios ensuring timely delivery and adherence to budget constraints while achieving high-quality standards.Innovative Solutions: Develop and implement cutting-edge technologies such as AV over IP and AI-driven automation, transforming production workflows and enhancing viewer experiences.Strategic Collaboration: Work closely with vendors and partners to source equipment and negotiate contracts, streamlining procurement processes for optimal project efficiency.Content Distribution: Lead the integration of FAST/OTT solutions with SCTE 35 ad monetization, ensuring compliance with industry standards and maximizing revenue opportunities.Client Engagement: Foster strong relationships with clients to understand their needs, providing tailored solutions and expert technical direction for live productions.Team Development: Collaborate with cross-functional teams to troubleshoot issues and develop innovative solutions, driving continuous improvement and exceptional results.

Featured Projects: - Intel AI-Powered Real-Time Driver Detection and Graphics Overlay for Ferrari Challenge- T-Mobile 5G-Powered Remote Activated Autonomous Indoor and Outdoor Drone Light Show- Drone and FPV Live Production for NFL Super Bowl,- Dronibooth - An automated editing software and delivery platform- Aerial data collection, Media asset management, and visualization for JPL NASA - Intel Dunk Drone at the All-Star Games- Audio-video python wrapper library for Blackmagic Design SDK to pipe into video serverKey Responsibilities:AI Model Development: Led the design and implementation of an AI model using Python, leveraging TensorFlow and OpenCV frameworks for real-time object detection.Code Optimization & Documentation: Conducted extensive code optimization and validation while documenting algorithms on GitHub to ensure transparency and foster collaboration within the team.Engineering Operations Management: Oversaw engineering operations, coordinated frequency management, and obtained necessary FAA and stadium permits for successful project deployments.Technical Support: Provided expert technical support and troubleshooting to resolve issues, ensuring the ongoing functionality and reliability of systems.Technical Documentation: Developed comprehensive technical documentation to ensure clarity and consistency throughout project implementation.Onsite Engineering: Served as an onsite drone technician and video delivery engineer, guaranteeing smooth operation and timely delivery of video content.Media Management: Managed Digital Imaging Technician (DIT) responsibilities and Media Asset Management (MAM) processes, effectively organizing and maintaining media assets.Cross-Functional Coordination: Collaborated with cross-functional teams to define project scopes, allocate resources, and establish realistic project timelines.

Project entitled ‘Experience the feel of flying using real-time virtual reality gear controlled drone’- Designed the drone to receive the pitch, roll, and yaw values from the 6-axis combo sensor generated by the Intel Curie module attached to the virtual reality headgear - Coded using C++ and Python in Linux OS - Developed the project by using the 3DR solo drone and Oculus VR headgear- Tested the system in simulator and in real time

Project entitled ‘Road Crack Detection and Characterization’ using Machine Learning - The research includes Image/Video Acquisition, Training, Pre-processing, Image Segmentation, Detection, and Characterization- Created a unique pre-processing technique for better detection accuracy- Recorded and tested various road videos and captured images- Developed the project using Matlab - Presented the project in the Seaver College of Science & Engineering Symposium, LMU, 2016

Project entitled ‘Efficient and Privacy-Preserving Image Compression’- Designed an encoding technique for images with higher efficiency and compression ratio- Involved entropy coders as encryption ciphers- Incorporated encryption method into compression scheme- Developed the project using Matlab - Presented the project in the Seaver College of Science & Engineering Symposium, LMU, 2015

LMU Electrical Engineering Undergraduate Course (ELEC- 301-02 Junior Electronic Circuit Lab)- Assisted faculty members with classroom instructions, exam questions and data- Supervised undergraduate students working on assigned projects- Set up electronic devices and equipment before the class commencement- Prepared notes for lecture