Muhammad Umer Qureshi Email and Phone Number

Working on developing next generation JET and UL certified ESS

Leading a team developing the next generation of smart hybrid inverters

• Managed product roadmaps and certification requirements for a residential Energy Storage System in the Japan market• Collaborated with global teams to align technical, regulatory, and market needs for successful product development

- Service engineering lead for Tesla solar products (inverter and powerwall plus)- Led root cause investigations for top failure modes (over 90% reduction in hardware failures within the launch year)- Led firmware improvements to reach KPI targets (100% of targets met within the launch year)- Identified and mitigated critical customer impacting issues in the fleet (80% reduction in customer escalations)- Developed processes to identify, contain and resolve emerging issues in the fleet- Presented analytics on fleet wide performance to cross functional teams and executives (extensive BI dashboarding)

**Worked at Varentec which was later aquired by Sentient Energy in 2022- Developed data-driven algorithms for future product portfolio of Varentec. Examples include real-time hosting capacity estimation using fusion of sensor measurements and power flow models, real-time grid edge sensitivity estimation and OPF algorithms for dispatch of behind the meter DG assets. (Patents Pending)- Analyzed and extracted value from Big Data (AMI, MV/LV sensors and SCADA) for electric utilities and provided quantitative measures of improvement brought in by Varentec solutions.- Provided technical support to electric utilities and helping them achieve their energy savings and peak demand reduction goals using VVO assets.

Sensitivity-based PV Hosting Capacity (1/2019 - 5/2019)Project Sponsor: Electric Power Research Institute• Developed a computationally efficient and novel method to compute PV overvoltage and thermal hosting capacity for utility-scale distribution feeders• Work published in IEEE T&D 2020 and IEEE NAPS 2021Solar PV Impact and Integration Research (5/2017 - 12/2018)Project Sponsor: Sandia National Laboratories (DOE SunShot Initiative)• Developed a novel QSTS algorithm to evaluate solar PV impacts on distribution feeders with voltage regulation equipment and smart inverters• The algorithm is the fastest and most accurate in the class of Rapid QSTS algorithms• Work published in IEEE Transactions on Sustainable Energy, IEEE GM 2019, IEEE PVSC 2018Low Cost Home Energy Management System (1/2017 - 5/2017)• Designed and developed an affordable HEMS prototype capable of optimally scheduling loads based on user-defined priority and real-time electricity pricing for under $200• Work published in IEEE ICCE 2017Distributed Frequency Regulation (8/2016 - 4/2017)• Developed a decentralized control algorithm (inspired from graph theoretic methods) to improve the transient stability of power transmission networks• Work published in IEEE Transactions on Industry Applications, IEEE ISAP 2017, IEEE GreenTech 2017

Teaching Assistant for:Magnus Egerstedt, Optimal ControlYorai Wardi, Digital Control

Designed and developed a DC micro grid testbed to evaluate blockchain enabled transactive energy market framework. Main tasks included:• Design of an IoT enabled bi-directional DC-DC buck converter. The modeling process started in Simulink, which was then verified on LTSpice and implemented on a breadboard. After detailed testing, a four layer PCB was designed (KiCAD) and assembled.• Design of an Arduino (Nano) based controller for DC-DC converter interfaced with INA-219 sensor. The DC-DC converter provided bi-directional power transfer between main bus (24VDC) and 12V SLA battery. Additional features included over/under voltage and current protection.• Distributed control algorithm implemented on Raspberry Pi (Python). The final configuration included 3 RPi communicating via WiFi and 3 DC-DC converters interfaced with RPi via UART. Additional responsibilities included managing the budget ($10,000) and time (3 months) constraints. The project was completed on time while utilizing only 70% of the allocated budget.

• Worked on the development of a Software Defined Radio with a 30-512 MHz communications band.• Developed a communication and flow control protocol in C for high speed data transfer between two processors (TI DM6446 SoC) via an FPGA (Spartan 3A DSP)• Implemented SVN repository for version control and performed extensive system-level testing to verify software quality and functionality before release.• Worked with algorithms, testing and hardware groups to ensure protocol compliance and adequate documentation.• Led the quarterly assessment and product evaluation at the client’s testing facility.• Mentored two interns by assigning them weekly tasks, evaluating their progress and providing feedback.