Arizona State University | SenSIP Lab
Deep Learning · Edge AI · Solar Energy Systems · Embedded ML
Advancing deep learning and edge AI for intelligent embedded systems
2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS)
2024 15th International Conference on Information, Intelligence, Systems & Applications (IISA)
2024 Frontiers in Education (FIE)
2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA)
Elsevier
Role: Manuscript Reviewer
Solar Energy and Machine Learning
IEEE
Role: Manuscript Reviewer
Machine Learning and Signal Processing
IEEE
Role: Manuscript Reviewer
Power Systems and Energy Conversion
IEEE
Role: Conference Reviewer
Engineering Education Research
IEEE
Role: Conference Reviewer
Artificial Intelligence and Machine Vision
Industry and academic research positions
Tempe, Arizona, USA
Tempe, Arizona, USA
Hillsboro, Oregon, USA
Austin, Texas, USA
Ahmedabad, India
Pamplona, Spain (Virtual)
Educating the next generation of engineers
Arizona State University
Arizona State University
SenSIP Lab, Arizona State University
School of ECEE, Arizona State University
Jan 2024 – Present
Arizona State University, Tempe, Arizona
GPA: 3.83/4.00
Specialization: Deep Learning, Edge AI, Solar Energy Systems, Signal Processing, and Embedded Machine Learning
Aug 2021 – Dec 2023
Arizona State University, Tempe, Arizona
GPA: 3.82/4.00
Specialization: Signal Processing, Machine Learning, and Solar Energy Systems
Aug 2017 – May 2021
Nirma University, Ahmedabad, Gujarat, India
GPA: 8.11/10.00
Recognition for academic excellence and research contributions
Indian Space Research Organization (ISRO)
Led team to top 6 placement among 50+ teams competing on ISRO problem statements. Successfully developed innovative solution for space communication applications.
View Article →
ACECAT Conference
Received 2nd Best Paper Award for "Blind Scrambling Code Identification for Synchronous and Self-synchronous Scrambler" at the Advancement in Communication, Electronics, Computer, and Automation Technology conference.
View Paper (Page 75) →
12th Arizona Student Energy Conference
Our team of 6 members won the Renew Challenge, demonstrating innovative approaches to renewable energy solutions and sustainable technology.
Certificate Information →
13th Arizona Student Energy Conference
Successfully defended title, winning the Renew Challenge for the second consecutive year with advanced renewable energy project proposal presentation.
Arizona State University
Recognized for finishing up the braground and application-oriented training in Sensors, Signal, and Information Processing research.
Technical presentations at conferences, universities, and industry events
Adani University, Ahmedabad, India
Expert session on the evolution of AI and its applications in modern computing
Nirma University, Ahmedabad, Gujarat, India
Presented transformers architecture background, fundamentals and applications to students and faculty
SenSIP Industry Consortium
Research presentation on the use of embedded ML for PV topology optimization
Arizona State University, Tempe, Arizona
14 classes explaining different DL architectures and their applications
Skyworks Solutions, Hillsboro, Oregon
Built a cycle-accurate Python simulator for systolic array accelerator
REU & RET Programs @ SenSIP ASU
Demonstrated PhD research at ASU Research Park
Solar Energy Journal
Began reviewing manuscripts for Elsevier journal
UKIM–ASU Workshop
Presented my research work at a collaborative workshop with Ss. Cyril and Methodius University, Skopje, Macedonia.
CISE REU PI Workshop
Represented the ASU-SenSIP REU site to discuss strategies for REU student engagement and pathways to graduate studies.
ITESM Delegation
Demonstrated our custom PV monitoring hardware to visiting professors from Tecnológico de Monterrey.
IEEE ICPS Conference 2024
Conference presentation on embedded ML
Arizona Student Energy Conference - 2024
Presented work on applying embedded ML for the immediate detection of faults in solar panels
Skyworks Solutions, Austin, Texas
Engineered a custom PCB and C++ driver solution for USB to SPI bridge
SenSIP Industry Consortium
Outlined the design and implementation of a the photovoltaic monitoring device
Arizona Student Energy Conference - 2023
Presented the design of a new intelligent device for monitoring and controlling photovoltaic systems
SenSIP Lab, ASU, Tempe, Arizona
Mentored K-12 teachers in the basics of MATLAB, Python, and Machine Learning
SenSIP Lab, ASU, Tempe, Arizona
Guided undergraduate students in the REU and IRES programs through the fundamentals of MATLAB and Python for their research projects.
Arizona Student Energy Conference - 2022
Presented my work on designing and implementing a smart monitoring device for photovoltaic systems.
Python
MATLAB
C++
TensorFlow
PyTorch
Scikit-Learn
NumPy
Pandas
Matplotlib
VS Code
Git
Arduino IDE
Simulink
LaTeX
Testimonials from colleagues and mentors
Senior Deep Learning Engineer
Skyworks Solutions, Inc.
"Deep was an excellent addition to our team over the Summer of 2025. We spent countless hours whiteboarding and then prototyping deep learning inference optimizations. He made substantive contributions to our platform and to the ideas we are exploring. His ability to quickly understand complex ideas and turn out prototypes was impressive."
Product Engineer II
Onsemi
"I had the pleasure of working with Deep in the same research lab during my master's thesis. While our projects were different, we often brainstormed together, and I was always impressed by his ability to tackle complex problems with creative solutions. He is hardworking, passionate, and an excellent researcher. I strongly recommend him for any future opportunities."
Sr Principal AI Systems Engineer
Skyworks Solutions, Inc.
"I found Deep to be an excellent team player, self-starter, great communicator of ideas, and precise scientific thinker about and quick implementer of highly complex ideas. He has made extremely valuable contributions to our team. I highly recommend him!"
Sr Computer Science Student
Arizona State University
"During my time as an undergraduate research intern at ASU-SenSIP, Deep Pujara was my mentor for a project in machine learning. He provided me with a solid foundation in classical machine learning, sharing his knowledge and expertise to help me quickly get up to speed on the background research. His leadership and technical guidance created a highly productive and collaborative environment. I am pleased to recommend Deep for his professionalism and dedication to fostering the growth of his mentees."
Sr Antenna Engineer
Intel Corporation
"During bachelor's program, Deep worked under my guidance for several projects, specifically in the domain of EM & antennas. I found him dedicated and sincere towards the work. I have noticed a good quality of proactiveness while working with him in collaboration. He always try to see the problem as a big picture and apply planned approach for the successful closure. I wish him a great success and happy to recommend his name for any future references."
Associate Professor
Nirma University
"My interaction with Deep has been during his BTech study at Nirma University. He did a number of academic projects with me. During the project work, Deep demonstrated the ability to work independently with great creativity and enthusiasm. Deep is well organized, diligent, and a fast learner. He is one of the most dedicated student that I've worked with and is always willing to put extra efforts in all of the work assigned to him. I wish him success for all his endeavors."
Backend Developer
IBM
"Deep is knowledgeable, articulate, and innovative person to work with. I have known him for quite a time during our educational journey and being a colleague and friend of him, he is someone I trusted and always looked forward to work with him. I have seen him closely working on different projects and have always analyzed his ability to bring integrity, innovation and intelligence to his work and also his managing skills. I believe his overall presence positively impacted the work and the people around him."
Sr Software Engineer
Crest Data
"Deep is one of the strongest technologist I have worked with. He has a quick grasping power, excellent deep dive and troubleshooting ability. He is a fast learner and even as an undergraduate student he was involved in some really challenging and innovative projects related to communications and programming. His enthusiasm is contagious. It was a pleasure to work with him and brainstorm any new idea."
Open to discussing research collaborations and opportunities in deep learning and edge AI
Arizona, USA