Syed Muhammad Abubakar Email & Phone Number

Islamabad, Pk

Tokyo, Japan

As a METI IT Intern at ARS Corporation, Japan, I worked on optimizing embedded systems, including Raspberry Pi and Armadillo G3L, for real-time data processing. I developed and deployed serverless applications using AWS SAM, enabling efficient remote monitoring and reducing system complexity. Leveraging Docker, I containerized configurations to enhance portability and streamline deployment processes. Additionally, I implemented secure networking solutions with ZeroTier, achieving 99.9% uptime for remote device access and management. My contributions improved deployment efficiency by 30%, optimized system throughput by 25%, and significantly enhanced the scalability and reliability of embedded system applications.

Islāmābād, Pakistan

- Working as a ML Engineer to solve the cocktail party problem on a specific project.

Islāmābād, Pakistan

• Conducted in-depth literature review to explore state-of-the-art machine learning techniques for fish biomass extraction and estimation.• Successfully implemented YOLOv8 model to detect fish in the provided dataset, achieving accurate and reliable results.• Utilized the SAM (See Anything Model) for post-detection fish masking, effectively isolating fish for further analysis.• Currently engaged in depth estimation using the Zoe-depth model, contributing to the research project's comprehensive analysis.• Developed problem-solving skills and the ability to adapt to emerging challenges in the field of machine learning and computer vision.

Pakistan

-Crafted and published multiple SEO-optimized articles, driving engagement by delivering timely updates and insights on gaming platforms and industry advancements.- Played a pivotal role in significantly increasing website impressions through compelling and informative content, leveraging strategic SEO techniques to enhance visibility and attract a broader audience.

Islamabad, Islāmābād, Pakistan

• Conducted an in-depth study of the latest advancements in the field of Deep Learning and familiarized myself with state-of-the-art techniques and algorithms.• Worked on various projects, including Table Structure Extraction, Fish Detection and Tracking, and EEG anomaly detection, which involved a thorough understanding of object detection algorithms and EEG signal processing.• Read and analyzed research papers on the cutting-edge topics of machine learning and implemented a few of the latest techniques in my projects.• Contributed to increasing the accuracy of existing models by formulating and devising innovative solutions.• Acquired hands-on experience working on a remote server with an Ubuntu interface, enabling me to work efficiently in a distributed computing environment.• Built a Face Detection and Recognition Model using OpenCV and TensorFlow to automate the entry process and improve the security of the TUKL Lab.• Designed and implemented data models in Python to model various processes and simulate real-world scenarios, demonstrating my skills in data modeling and Python programming.

1. Established operation strategy to spread awareness of COVID-19 and water shortage.2. Managed team to collect recyclable plastic waste to keep the environment clean.3. Maintained an Instagram account containing posts related to risks of COVID-19 and water shortage.

Islāmābād, Pakistan

Bachelor Of Engineering - Be, Electrical And Electronics Engineering, 3.62/4.00

Activities and Societies: Volley ball, Badminton, Cricket, Football, Swimming, Skateboarding.

A-Levels, 4 A*S

Activities and Societies: Volleyball, Cricket & table tennis.

O-Levels, 6 A*S, 2 As (With 1 Distinction In Comp. Science)

Activities and Societies: Speech, Qirat and naat competitions, & Inter-school Cricket team member.