Salim A. Email & Phone Number

Houston, Texas, United States

College Station, Texas, United States

• Conducting computer vision research, implementing neural handcrafted features as convolutional layers using PyTorch.
• Accelerating neural network training in a Linux HPC cloud environment by a factor of 16 through paralleling the training jobs
• Developing a custom deep learning layer in PyTorch utilizing convolutional operations and optimized forward propagation
• Implementing testing scripts to assess model behavior, verify parameters, and address issues for an IEEE computer vision paper

• Tackled wearables’ challenge in distinguishing automated and manual movements as part of an Engineering Thesis
• Designed the data capture process, transferring data from 9 incoming sensors to a database hosting model training data
• Embedded a model onto an ESP32 running an inference pipeline with windowing, feature extraction, and output smoothing

• Designed a comprehensive computer vision system using PyTorch for gathering and analyzing basketball broadcast data
• Built 3 custom CNN models detecting court landmarks for an Expected Points Model based on player distance from the rim
• Implemented an algorithm to identify player shots by focusing on the area around the ball, experimenting with filter activationsNext Steps:- Integrating the 3 subsystems together to locate events on the court as they.

• Mentor and assist 30 incoming students per semester in acclimating to college through academic and social support
• Conducted one-on-one and group mentoring sessions to address various student needs, including academic performance, career guidance, and personal development
• Attend training, staff meetings, and college events to further develop skills and contribute to the program

• Served as a Teaching Assistant for an Introductory Programming Course consisting of 84 students.
• Standardized grade-books through a Python script using APIs, reducing data entry time by 50% for graders
• Host weekly help sessions reinforcing programming concepts to a group of 25 students

Online

• Social Media Aspect:HoopsData is a data-driven social media page showcasing the NBA with a focus on delivering data driven content
• Creating data graphics adapted for appropriate audiences capturing the attention and interest of NBA staff and players
• Iterating on analytics to make decisions on which content to create, generating 1 million unique monthly impressionsTech Aspect:Building a website for HoopsData using React, NextJS, Flask, MongoDB, Git, and Git-Actions.
• Building and maintaining a 6 end-point REST API with input validation using Flask connecting to a MongoDB database
• Developing and maintaining all aspects of website operations through a suite of tools including Heroku and Google Analytics

Hampton, Virginia, United States

• Led a team of 5, implementing machine learning to classify subsurfaces as part of a wider competitive design team.
• Applied Support Vector Machines (SVMs) and Random Forest models to incoming sensor data for subsurface classification
• Accelerated prototyping turn around time, by repurposing parts and taking advantage of 3D printing, saving on material costs
• Implemented agile workflow, ensuring on-time project milestones and transparent communication with NASA judges

• Data Engineering and Data Science projects for the scouting department at the Texas A&M Men’s Basketball Team
• Extracted and quantified play by play logs using Python, empowering coaches to make data-driven decisions
• Utilized MongoDB to create a database of transfer portal player data, enhancing accessibility for the scouting department

• Implementing OpenCV to track and record basketball player movement using one camera angle at 30FPS.
• Utilized mediapipe to track the movement of joints when shooting

Bachelor Of Science - Bs, Electrical And Computer Engineering, 3.6/4.00

Relevant Courses: - Fundamentals of Networking - Signals and System Analysis - Microprocessor System Design - Ultra-sound Imaging - Random.

High School Diploma

Activities and Societies: Best Buddies