Software Engineer Lead
Resume:
SHAMS AL AJRAWI
Lead Software Engineer
619-***-**** *********@****.*** / *************@*****.***
https://www.researchgate.net/profile/Shams-Al-Ajrawi San Diego, CA SUMMARY
Lead Software Engineer with 10+ years of expertise in web application and backend development. Proficient in clean code practices and tackling intricate challenges. Experienced in diverse team collaborations and flexible work environments. Specialized in Frontend, Backend, Full-stack development, data science, and AI technologies. Passionate about elevating training through innovative tech solutions. PROFESSIONAL EXPERIENCE
Lead Software Engineer 2021 - Present
John Wiley & Sons Hoboken, NJ
Aligned software development with company values while setting strategic, budget- conscious goals.
Partnered with clients and department heads to enhance tech efficiency and cost control. Evaluated and integrated emerging tech for improved data-driven decisions. Crafted web services using Java and Spring.
Created an internal tool for corporate events in Investment Banking with React and Java Spring Boot.
Guided a team in Agile methodologies as Scrum Master. Reduced development effort by 50% using reusable software components. Seamlessly converted projects across different programming languages. Optimized efficiency by 65% integrating ChatGPT.
Achieved over a million in savings and elevated retention rates at premier financial institutions.
Computer Information System Associate Professor and Graduate Program Manager
2021 - Present
Alliant International University San Diego, CA
Delivered accredited lectures and curated curriculum. Published in academic journals and managed research grants. Expert in full-stack software development and data analytics. Conducted training in Java, SQL, C++, C#, and Web Programming. Proficient in OpenAI, Generative AI, and Advanced SQL solutions. Led industry-influenced projects, including AI-integrated platforms Researcher Affiliate of UC San Diego’s Qualcomm
Institute
2023 - Present
Qualcomm Institute at the University of California, San Diego and Dr. Ramesh R. Rao
San Diego, CA
Our research project in the Brain Computer Interface (BCI) domain dives into advanced methodologies for efficient signal interpretation. We introduce a hierarchical structure tailored for feature elimination, enhancing the efficiency and accuracy of BCI data interpretation. Simultaneously, we harness the potential of flexible wavelet transformations to optimize brain signal extraction, aiming to refine signal classification and provide a clearer understanding of intricate brain signals. This endeavor seeks to significantly advance brain signal processing and comprehension.
ECE Faculty 10/2016 - Present
San Diego State University San Diego, CA
Adjunct faculty and Curriculum developer 2018 - 11/2021 The University of California San Diego San Diego, CA Online Cybersecurity Adjunct Faculty 09/2018 - 01/2021 University of San Diego San Diego, CA
Cybersecurity and CS Adjunct Faculty 2018 - 2022
National University San Diego, CA
Adjunct Faculty 11/2019 - 05/2021
University of North Texas San Diego, CA
EDUCATION
PhD, Electrical and Computer
Engineering (JDP)
University of California San Diego/ San
Diego State University
2016 - 2021 San Diego, CA
Master, Electrical and Computer
Engineering
New York Instiute of Technology
2007 - 2009 NY
Bachelor of Science, Computer
Engineering
Technological University
2000 - 2004
PROJECTS
LMS Framework - Achieved a
significant enhancement in
Wiley Edge's design experience
using ChatGPT, leading to a
software project that brought
$1M in value to the company
2023 - Present CA
Leveraging ChatGPT, this project aims to
enhance Wiley Edge's learning system by
developing a dynamic content generator,
optimizing productivity, and establishing
a strong learning foundation. From
design to distribution as a senior
software engineer in a 7-people team
Chatbot implementation
2023 - Present CA
Developed a chatbot which helped
significant learner to learn any new
technology.
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PROFESSIONAL EXPERIENCE
Online Adjunct Faculty 2018 - 2021
California Institute Art Technology San Diego, CA
Curriculum developer and Educator \ College of
Graduate Studies
2016 - 2021
California Miramar University San Diego, CA
Lead Faculty 2013 - 2018
Coleman University San Diego, CA
Adjunct Faculty 11/2019 - 11/2021
MiraCosta college San Diego, CA
CSIS Faculty 08/2016 - Present
Grossmont College San Diego, CA
Adjunct faculty 11/2015 - Present
San Diego Miramar college San Diego, CA
Computer Class Instructor 2006 - 2012
Jordan University Jordan
PUBLICATIONS
Investigating feasibility of multiple UHF Passive RFID transmitters using backscatter modulation scheme in BCI applications
IEEE International Symposium on Performance Evaluation of Computer and Telecommunication Systems, Seattle, USA, July 2017. Shams Al Ajrawi, Sidhant Mohanty, Mahasweta Sarkar, Albena Mihovski, Ramesh Rao, Harsimran Baweja
Bi-Directional Channel Modeling for Implantable UHF-RFID Transceivers in BCI Application
Transceivers in BCI Applications”, Shams Al Ajrawi, Hayden Bialek, Mahasweta Sarkar, Ramesh Rao, Syed Hassan Ahmed, Journal of Future Generation Computer Systems, Elsevier Publication, May 2018 Shams Al Ajrawi, Hayden Bialek, Mahasweta Sarkar, Ramesh Rao, Syed Hassan Ahmed Efficient Balance Technique for Brain-Computer Interface Applications Based on I/Q Down Converter and Time Interleaved ADCs Elsevier Informatics in Medicine Unlocked, December 2019. Shams Al Ajrawi, Walid Al-Hussaibi, Ramesh Rao, and Mahasweta Sarkar Hybrid MAC Protocol for Brain–Computer Interface Applications IEEE Systems Journal, doi: 10.1109/JSYST.2020.3030474 S. Al Ajrawi, A. Al-Dweik, R. Rao and M. Sarkar
Medium Access Control protocols for UHF-RFID Transmitters for Brain Computer Interface Applications
International Journal of Interdiscipl inary Telecommunications and Networking (IJITN)
H. Harikrishnan, A. Sarkar, Shams Al Ajrawi, A. Mihovska, C. Paolini, Predicting Business Yelp’s Star Ratings using Sentiment Analysis Elsevier Informatics in Medicin e Unlocked
Shams Al Ajrawi, A. Agrawal, Harsheta, K.Putluri, G.Hana, B.Reid, Ramesh Rao, Mahasweta Sarkar
Cybersecurity in Brain-Computer Interfaces: RFID-based design-theoretical framework
Elsevier Informatics in Medicine Unlocked
Shams Al Ajrawi, Ramesh Rao, Mahasweta Sarkar
PROJECTS
Projects : JP Morgan, Stanley,
and Liberty Mutual,
2021 - Present CA
Lead, design and Implement advanced
Java applications incorporating OOP
principles and Spring DI integration.
Designed relational databases,
developed RESTful web services with
JDBC templates, and crafted full-stack
web applications using SpringBoot and
jQuery
By leading the design and
implementation of advanced Java
applications, integrating OOP
principles and Spring DI, and
developing comprehensive full-stack
web solutions, we achieved a
streamlined and efficient application
environment. This strategic approach
not only elevated the user experience
but also resulted in significant cost
efficiencies, contributing to
substantial revenue savings for the
company.
NSF project Wireless Multimedia
Communication and Networks
Laboratory (WMNC)
2016 - 2021 CA
Designing and fully revising the BCI
application to bring back mobility for
severely paralyzed peoples with
spinal cord injuries.
Wireless Multimedia
Communication and Networks
Laboratory (WMNC)
2018 - 2021 CA
Developed a low-power wireless
transmission solution for BCI applications
using Ultra-Wideband and RFID. Modeled
UHF RFID transmissions for ECoG brain
signals using Backscatter Modulation,
and introduced an Enhanced Multiple
Access Anti-Collision Algorithm for
multiple transmissions. Conducted
numerical analyses of UHF RF signals
through various biological mediums and
collaborated with UW's Sensors and
Antenna design labs for MAC
implementation on implantable neural
sensors.
Drone project:
2018 - 2019 San Diego, CA
Developed a sensing augmentation
solution for the senior population using
drones. Utilized hardware platforms such
as Parrot Mini Spider and Parrot Bebop2
drones, interfaced with Samsung tablets
and Android mobile phones.
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PUBLICATIONS
Efficient MAC Protocols for Brain Computer Interface Applications Elsevier Computers in Biology and Medicine
Shams Al Ajrawi, Mahasweta Sarkar, Ramesh Rao
HRFE: A Hierarchical Recursive Feature Elimination Algorithm in Brain Computer Interface Application
IEEE System
Shams Al Ajrawi, Mohammad Shojafar, Saru Kumari, Ramesh Rao, Mahasweta Sarkar Flexible Analytic Wavelet Transformation based Brain Signals Extraction and Classification
Elsevier Biomedical Signal Processing and Contro
”, Shams Al Ajrawi, Saif Al Sultan, Ramesh Rao, Mahasweta Sarkar Mobile Wireless Author Network Routing Protocols Comparison AODV & DSR Routing by Using Network Simulation 2
Spat. Inf. Res. (2023). https://doi.org/10.1007/s41324-023-00535-z Dr. Shams Al Ajrawi, Bang Tran
Traffic Congestion and Gridlock Solution Proposal using Smart Intersections CSML Conference, Alliant International University
Shams Al Alajrawi, Judson Balding, Victor Darakjian PROJECTS
Network Simulation and
Emulation
2016 - 2019 CA
Conducted a comprehensive study on
TCP congestion protocol mechanisms at
the transport layer, focusing on flow
allocation and traffic control. Utilized
tools like NS3, Net Animation, and
Mininet VM, combined with C++ for
simulations. Designed a network
topology to analyze various parameters
like throughput, RTT, and delay,
leveraging Mininet VM, Python, and
Wireshark.
Advanced Digital Signal
Processing with MATLAB
2018 - 2021 CA
"Designed a base-banding system in
MATLAB to handle out-of-band
interference. Fine-tuned pass filters,
analyzed auto-regressive time series
with linear prediction, and compared
spectral analysis techniques.
SKILLS
Java C++ Python Perl mySQL
.C#. Entity Framework ASP.NET UML
SpringBoot
SQL. Tomcat. Apache. Python.
Open AI Generative AI
Data Science. Data Engineer
Data Analysis.
STRENGTHS
Promotions
John Wiley & Sons
Was awarded a promotion and
award for 2 years of consecutive
excellence in software lead (2021-
2023).
Alliant International University
Associate professor 2023
Corporate Social
Responsibility
Authoring industry and academic
books :
1- Mastering C++: Foundations,
Advancements, and Applications
2- Masters of Creation and
Dreamweaver: How Generative AI is
Revolutionizing Machine Learning
and Composing the Future
NOTABLE CERTIFICATION
APMG for ISACA’s certificate
2023 - 2028
CCNA, Microsoft IT professional
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