Conducting research in human health insights, using bayesian networks & causal modeling to detect sleep regularity, naps, & health from demographic data, achieving a classification PPV of 98% Specificity of 99%.Building a Personalized RAG LLM recommendation system for sleep sessions with database querying for feedback analytics in SQL.

Designed an acoustic valve closure detector in Atrial Fibrillation (AFib) patients, using conditional probability, time-frequency analysis, & Markov State Machine. Modeled using Matlab and Python. Achieved an F1-Score of 96%.Co-Lead & maintained the PPG-based AFib detection project. Optimized C algorithms to reduce computation & memory overhead while maintaining high sensitivity. Managed cross-functional deployment & implemented version control for better efficiency.

Worked with an R&D team conducting physiological research using accelerometers & gyroscopes for step, fall, & gait detection, applying biomechanics knowledge & Machine Learning (ML) (e.g Logistic Regression) for real-time tracking accuracy & monitoring. Deployed the step counting algorithm with a Root Mean Square value of ± 2.9%

• Hand Gesture recognition via data glove – Designed a pipeline comprising of collecting data from a IMU fitted glove, preprocessing the data into multiple files and passing it through a Tensorflow/Keras Neural Network model. The model was deployed as an .ONNX model and used with Unity.• Full body data collection for Ground Reaction Force - Implemented and organized a Database from IMU and motion tracking devices using Python Database related Libraries. Successfully arranged participants by designing flyers using Illustrator and Photoshop.• Designed a smart helmet for an aircraft Manufacturing client. Responsible for the base design using Arduino in C, ultrasonic Sensors, bone-conducting headphones, and vibration motors.

Developer at the BitProject Open-Source community, working on designing a developer's curriculum for Universities.• The Digital History Curriculum – Leading a team tasked with preparing a curriculum for California State University Fullerton's, Intro to Digital history course. Currently writing notebooks that focus on teaching Python, Numpy, Pandas, Matplotlib to people without computer/data science experience.

• Responsible for researching the possibilities of open source databases in Pakistan with the VectraComSTEAM (Science Technology Engineering Arts and Management) Project.• Contributed in developing a plant disease detection system app for rice crops using Tensorflow lite,Python, Kotlin and presented it to the Sindh Agriculture Department.• Collaborated in Installing an IoT system for battery manufacturers to monitor power consumption andtemperature control using Graphana.

• Collaborated in the company's affordable IoT system project. • Worked on a personal project, smart mirror for personal or professional use on an android stick usingIonic and Cordova.• Conducted research on deep Learning and Computer vision in crop disease detection in order to optimize the agriculture exports in Pakistan.