AI Full Stack Engineer

• Sep 2023 - Present

Machine Learning Developer (Full Stack)

• Jan 2023 - Aug 2023

- Collaborated with product managers and designers to create innovative and intuitive application experiences for the iOS platform using Objective-C/C++/Swift and the iOS SDK. - Implemented custom native user interfaces leveraging the latest iOS programming techniques, ensuring a seamless and visually appealing user experience. - Developed reusable iOS software components to interface with back-end platforms, optimizing code for e ciency and performance. - Analyzed and optimized UI and infrastructure application code for quality, e ciency, and per- formance, utilizing multithreading programming and mobile memory management techniques. -Conducted unit tests and performed root cause analysis for debugging and troubleshooting. Show less

Deep Learning Developer (Reinforcement Learning)

• Aug 2022 - Feb 2023

-Predicted trajectory of pedestrian using Centroid Tracking, Person ReId.-Leveraged Imitation Learning to imitate the predicted trajectory in a custom environment.-Used models like Social Forces and Reinforcement learning to train an agent behaviour in a crowded environment.-Deployed the agent policy into gaming Unreal gaming engine.

Machine Learning Engineer

• Mar 2022 - Jul 2022

-Visualised a 3D scene in GTLF format and carried out data transformation.-Deployed a pre trained object detection model for 3D mesh.-Assisted in the pipeline development while suggesting the best way to carry out mesh completionin a 3D scene.-Data Manipulation for converting 3D objects into di erent formats like .obj, .glp format.

Full Stack Machine Learning Engineer

• May 2022 - Jan 2023

- Designed a website for pose estimation using Holistic(Mediapipe) for detecting Range of Motion(ROM) in patients. - Designed a pose classification module in the website to and developed an ML solution to calculate the time to sit to stand using an EC2 instance. - Managed the quality and data assets across the data lifecycle. - Monitored the website traffic load and implemented an API for live camera inference and tested user interface. - Attained an accuracy level of 96.7% for ROM tested with clinicians in lab. Show less

Machine Learning Engineer

• Feb 2022 - Jan 2023

- Designed the architecture and automated CI-CD pipelines leveraging Azure DevOps, Azure Com- puter Vision, Log-Analytics , ML Studio. - Designed Machine Learning pipeline hosted in cloud for artwork detection in Museums. - Using models which can deployed on a server and used by client on a low end mobile device. - Deployed automated model and pipeline monitoring, adaption and validation service using Azure Studio, Azure Custom Vision toolkit and Azure Monitor. - Built a self supervised and semi supervised learning microservices for object detection which can be customised to delete data and to update a dataset. Show less

Graduate Teaching Assistant

• Jan 2022 - Jan 2023

MIE253- Data Modelling, CSC 401/2511 -Natural Language Computing, MIE1628-Cloud Based Big Data

Graduate Student Researcher

• Aug 2021 - Apr 2022

- Assessed real world problems in Electric Vehicle Security during charging in the CAN(ControlArea Network) bus data.- Generated synthetic data using Generative adversarial network (GAN) and carried out classifi-cation task.- Deployed anomaly detection LSTM (Long short Term Memory) Recurrent Neural network (RNN)for supervised deep learning of time sequence data with over 87% accuracy.- Implemented multi-class classification and categorized the attacks as DoS, fuzzy, impersonationand no attacks with accuracy of 96% in python using tensorflow backend Show less

Machine Learning Engineer

• Jan 2022 - Jan 2023

- Generated data models extracted from raw EEG/ECG and SpO2 levels in patients and optimized queries performance. - Working in the physiology phase of the sleep study in pregnant women during trimester phase. - Deployed model for human movement tracking like FlowNet, RAFT and DeepFlow. - Designed a custom computer vision algorithm for Obstructive Sleep Apnea Prediction. - Generated data models extracted from raw EEG/ECG and SpO2 levels in patients and optimized queries performance. - Working in the physiology phase of the sleep study in pregnant women during trimester phase. - Deployed model for human movement tracking like FlowNet, RAFT and DeepFlow. - Designed a custom computer vision algorithm for Obstructive Sleep Apnea Prediction.

Student Volunteer Research Trainee

• Jan 2022 - Jan 2023

Software Engineer

• Jan 2022 - May 2022

-Curated a custom dataset for object detection for wide angle camera images. -Designed a Computer Vision API to detect objects using openCV and deep learning models for object detection. -Deployed low latency and scalable machine learning models to be deployed in TPU and mobile phones. -Worked on integrating the detection pipeline into the company software to facilitate the company hardware. -Developed a pipeline for Human pose estimation and to identify a person out of multiple subjects using sate of art models like DeepSort, Sort and YoloV4. Show less

Associate

• Jun 2021 - Jan 2022

Environmental Health Safety Intern

• Sep 2020 - Nov 2020

Summer Research Intern

• Apr 2020 - Jul 2020

- Utilized the GUI and scripting to perform transformations on large unstructured raw data into relevant spectograms using image processing techniques in MATLAB and R to carry out novel Deep Learning Models. - Successfully generated image classification of patients into different levels of Depth of Anesthesia using libraries like OpenCV. - Created a VGG16 Convolutional Neural Network for feature detection and medical image analysis with accuracy of 96% - Utilized the GUI and scripting to perform transformations on large unstructured raw data into relevant spectograms using image processing techniques in MATLAB and R to carry out novel Deep Learning Models. - Successfully generated image classification of patients into different levels of Depth of Anesthesia using libraries like OpenCV. - Created a VGG16 Convolutional Neural Network for feature detection and medical image analysis with accuracy of 96%

Intern

• Nov 2019 - Apr 2020

Teaching Assistant

• Jul 2018 - Nov 2018

Intern

• May 2018 - Jun 2018