ADITYA OM

**** ****** ******, *** *****, MI *****, USA

Contact: 734-***-**** adtmmk@r.postjobfree.com LinkedIn Gitlab ACADEMIC QUALIFICATIONS

JAN 2021 – PRESENT UNIVERSITY OF MICHIGAN ANN ARBOR MS IN ELECTRICAL ENGINEERING AND COMPUTER SCIENCE

● Overview: Concentration in embedded systems with a focus on signal processing and smart IoT system architectures. Graduating in December 2022 and seeking a related full-time opportunity. GPA: 3.55/4.00

● Courses: EECS470(Computer Architecture), EECS483(Compiler Design), EECS461(Embedded Control Systems Design), EECS570(Advanced Embedded Systems Research), EECS586(Algorithms)

● Projects: EECS470- Designed an N-way Superscalar RISC-V Processor from scratch, EECS461-Designed a fully autonomous rover capable of traffic congestion navigation, EECS483- Designing a compiler from scratch for Decaf Language for x86 assembly, Translated entire course codebase for EECS568- Mobile Robotics Algorithms to Julia.

● Part-time Jobs: EECS473(Advanced Embedded Systems Design) Grader – Fall 2021; EECS373(Introduction to Embedded Systems Design) Teaching Assistant – Winter 2022

AUG 2012 – MAY 2016 NATIONAL INSTITUTE OF TECHNOLOGY RAIPUR B.TECH. IN ELECTRONICS AND TELECOMMUNICATION ENGINEERING

● CGPA 8.16/10; Rank 2/93 in 4th year

● National winner of Intel Embedded Challenge 2014, GE Edison Innovation cup 2016, AAVARTAN Engineering award 2015 WORK EXPERIENCE

AUG 2022 – PRESENT LiDAR RESEARCH INTERN, ST MICROELECTRONICS As the LiDAR research intern, I’m helping with the research on Integrated power products in silicon and GaN-based solid- state LiDARs focused on Electric and Autonomous vehicles. My responsibilities include Proof of Concept prototype development (HW-SW Co-design) and testing the ST Microelectronics’ GaN-based LiDAR embedded SoCs and performing compute and power benchmarking against the competitive offerings in the market. MAY 2022 – AUG 2022 FULL-STACK EMBEDDED SDE INTERN, SLIIC IOT TEAM, SCHLUMBERGER As the Full Stack Embedded SDE Intern, I worked on developing the alternate design (Hardware + Software) for the nodes that monitor methane leakages and would be equipped with Firmware Over the Air Update (Fu-OTA) over the LoRaWAN. I drove the efforts for the end-to-end design including architecture, and requirements specifications. Key Tools: C++, ARM- CMSIS (RTOS kernel), ARM MBed OS CLI toolchain, JTAG, LoRaWAN protocol, SPI, I2C, UART driver development, Power Analysis, Firmware benchmarking.

AUGUST 2021 – APRIL 2022 TECHLAB MCITY FELLOW 2021-22, SENSOR FUSION TEAM, ADASTEC As the Techlab Fellow at MCity, Centre for Entrepreneurship of the University of Michigan for Adastec Inc., I designed the Sensor Fusion Architecture design for adverse weather navigation (high rainfall, snowing, Fog, etc. having limited visibility) for level 4 autonomous Electric Bus. The work involves engineering the Sensor Fusion for the bus and training it with a real- world dataset to ensure Not-at-fault safety.

MAY 2021 – AUGUST 2021 AUTONOMOUS SYSTEMS INTERN AT ROAHM RESEARCH LAB

• Implemented the Online Sensor fusion, path-planning, and obstacle avoidance algorithm using Reachability-based trajectory design(RTD) for real-time autonomous systems(Robotic rover and a self-driving car). The method includes generating Forward Reachable sets using zonotope-based online trajectory optimization in real-time to achieve vehicle safety. Project objectives were successfully tested on a Rover.

AUG 2018 – DEC 2020 IOT SYSTEM DESIGN ENGINEER AT INTEL CORPORATION

● Designed system application for integrity safe packet exchange across PCIe 5.0 interface for Functional Safety IP (IEC 61508:2010 compliant and SIL3 safe) and workload running in cores of Intel Flagship server SoC: Elkhart Lake. Developed using System C, ThreadX RTOS, Assembly, and ARM Keil FPGA Development tool.

● Designed Functional safety test manager framework which monitors power and temperature performance of CPU cores running workloads for Intel’s flagship edge compute SoC. Compliant with ISO26262 autonomous driving vehicle standards. Developed using System C, ThreadX RTOS, Quartus FPGA development tool suite. JUNE 2017 – JULY 2018 SENIOR IOT DEVELOPER AT KRITSNAM TECHNOLOGIES, IIT KANPUR

● Designed end-to-end (hardware + LoRa TTN server + application) LoRaWAN application stack, for real-time, river water state monitoring of river Ganga and her dependent riverine systems in the eastern UP basin. The project was developed for IIT Kanpur and DST, Govt. of India. An infrastructure of 2500 functional nodes is deployed over a span of 1,200 km from the origin of a river in the Himalayas to Kanpur in Eastern Uttar Pradesh, India. JUNE 2016 – MAY 2017 RESEARCH ASSOCIATE, MWN RESEARCH LAB, IIT KANPUR

● Research advisor: Dr. Aditya K. Jagannatham, Assistant Professor, Indian Institute of Technology Kanpur Work done: A designed algorithm for pose and illumination invariant face detection, tracking, and recognition in video. Tested the algorithm’s performance against standard Honda-UCSD database and in-house developed Indian video database. The algorithm outperformed Viola-Jones detection by 6.12 percent and KLT tracking by 4.77 percent. Delivered the final presentation at the prestigious Bhabha Atomic Research Center before the project evaluation committee. MAY 2015 – AUGUST 2015 INTERN, IBM

● Wrote the C++ library for ESP8266 chipset integration into native REST API flows for IBM Watson IOT SaaS. The library streamlined and made it easy for app developers with minimal knowledge of ESP8266 to easily deploy IoT applications using Node-Red service in the IBM SaaS suite. Developed using C++, JavaScript, NodeJS, IBM IoTF. MAY 2014 – AUGUST 2014 INTERN, HEWLETT PACKARD

● Automated upstreaming of kernel patches to support Serial connected ARM Launchpad in a host firmware workload talking to a testbench with client firmware and exposing I2C, UART, SPI, PWM, GPIO, and ADC/DAC controllers. The automation script made bug fix integration smooth and seamless for the Board validation team at HP. AWARDS & RECOGNITION

NOV 2019 KEYNOTE SPEAKER, GREATER GOOD TEENS TALK 2019 OCT 2019 RUNNER UP, HACKATHON, IEEE WINTECHCON 2019

● Developed RNN-based C grammar engine which generates validation scripts for C/C++ code coverage. 2nd place at IEEE WINTECHCON 2019 in the software engineering track out of 67 participating teams from the industry. Work to be published in IEEE explore in conference proceedings.

NOV 2017 SELECTED FOR MIT INNOVATION AND ENTREPRENEURSHIP BOOTCAMP

● Selected to “Global Innovation and Entrepreneurship Bootcamp 2018” by Massachusetts Institute of Technology, among the top 100 innovators from over 2000 international applicants, for the work done at Kritsnam. Received pilot project funding offer of AUD 500,000 on the Bootcamp Demo day from CRDC, Govt. of Queensland, Australia. MAR 2016 WINNER, SOCIAL SQUAD INNOVATOR AWARD, GE GLOBAL RESEARCH

● Qualified for the national finale of “GE Edison Challenge 2016” organized by GE Global Research, among the top 20 from over 5000 participants. Won “Social Squad Innovator Award” from 20 finalists, for project “MAAYA”. MAAYA is a distributed packet routing system that mitigates call drop issues along the Indian Railway route. The network of embedded IoT nodes in railway tracks improves overall QoS using the NOFN backbone. The project was successfully tested out in the South Eastern Railway corridor.

JUL 2015 BEST ENGINEERING PAPER 2015, IEEE PAPER PRESENTATION COMPETITION 2015

● Awarded for work on “Stimulus-response measurement using action potential for Descoingsii Haworthioides plant species” and working prototype demo among 40+ other entries. DEC 2014 WINNER, INTEL INNOVATION CONCLAVE 2014

● National winner among 6000+ participants from all over India. Awarded for IoT project “Gabby Tree”. Gabby Tree project is an IoT system that monitors the health of plants in real-time and sends diagnostic messages to the subscriber application from its integrated sensor system. Received patent for the project in 2017. In 2018, Tata Steel offered to install “Gabby Tree” devices in its greenhouses.

PUBLICATION\CONFERENCES

● Information table-based decision approach for Broadcast Storm Suppression in Vehicular Ad-Hoc networks, Aditya Om, Rajat Chandrashekhar Shinde, Sejal Agrawal, Dr. Ajay Singh Raghuvanshi. ISSN: 2278-0181, Vol. 5 Issue 04, April 2016, International Journal of Engineering Research & Technology (IJERT).

● Presented poster and conducted IoT workshop on the implementation of Gabby Tree device and prototype demo at IEEE International Smart Cities Conference (ISC2-2015), Guadalajara, Mexico.

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