Research Assistant Engineer
Zayed University
Total years of experience :6 years, 10 Months
• Collaborated with a team of 6 researchers and PI on developing a web-based AI Task Playground - AI AnswerZ.
• Deployed 100+ pre-trained models from multiple platforms like Hugging face, Open AI, TensorFlow and stability AI.
• Created REST APIs to serve the models for real-time and near real-time inferences.
• Architect and build MLOps pipeline (preprocessing, training, evaluation, model registration, deployment) in AWS Sagemaker.
• Develop and implement advanced AI algorithms in the field of Generative AI.
• Design and deploy solutions to automate tasks by fine-tuning LLMs like GPT, Flan-T5 and LLaMA.
• Conducted In-depth research on “Detecting Cheating in Online exams” and “Classifying Bots from Twitter Profiles” and obtained accuracy of 97.7% and 97.2% respectively.
• Mentored and guided 3 interns and 3 junior team members.
Responsibilities:
• To work as a Research Associate in a QNRF funded project
• To automatically segment medical implants like stent grafts from 3DRA CT images
• To code in python and to use libraries like SCIKIT-IMAGE and SKLEARN to analyze and interpret 3D images
• To analyze and process data using VMTK toolkit
• To work in a team and to support integrating the work to a larger project.
• Attending team meetings, sharing ideas, discussing issues and solutions
Projects:
Computer Enabled Radiological Resource for Blood Flow Rates in Aneurysms using Lattice Boltzmann
Responsibilities:
- To work as a data engineer in an IRF funded project on developing deep
prediction model using data from Cerner Millennium Electronic Health Records
- To analyze and extract EHR data from Cerner Millennium EHR database
- To apply data preprocessing techniques using python
- Doing statistical analysis on data
- Data visualization through interactive graphs and tables using python and R
- To do literature study on recent research papers on health events prediction
- To work in a team, attending team meetings, Sharing ideas and updates
- To do project presentations
Projects:
- Knowledge discovery in EHR predicting preterm delivery
- Knowledge discovery in EHR predicting adverse events during delivery
Responsibilities:
• To provide creative ideas and solutions for video and image processing problems
• Develop and implement algorithms using required tools like OpenCv (Visual C++, C#, Python), MATLAB etc.
• Implement machine learning applications in Python- Keras framework with Theano backend.
• Perform live testing.
• Work with software and web development team to integrate image processing algorithms to a larger framework meeting different functionalities.
• Attend meetings discussing the progress of the work and presenting demo.
Projects:
Client: Ministry of Interior- Traffic department, Qatar
• Automating L- Parking Test using video processing solutions.
• Automatically detecting driving violations during the test from live video input.(mainly included background subtraction, motion detection and shadow removal)
• Designing a smart car with automatic lane detection and lane departure warning system for assisting in road test (mainly included template matching, Line detection, curve fitting etc).
• Detecting vehicles from video (Machine Learning).
• Driver Face and Eye detection (Machine Learning)
Client: Kahramaa, Qatar
• Developed an interactive camera based kids game for an awareness exhibition (mainly included motion detection, color detection etc.).
Responsibilities:
• Worked with a team of image processing engineers applying processing techniques.
• Implementation of IEEE papers on image processing using MATLAB.
• Provide training on Image Processing and MATLAB.
• Attend Enquiries on projects.
• Guiding candidates on implementing projects.
• Report to the project leader about the progress of the work.
• Prepared presentation on the working of the developed modules and the nature of blending with the other modules.
• Participated in the discussion and planning of projects or assignments.
• Making sure that client requirements have been satisfied, and documenting the software.
Projects:
• Directional People Counter Based on Head Tracking
• Enhancing Image Quality in Computed Tomography
• Data Embedding using Adaptive Pixel Pair Matching
Qualified GATE 2010 Recieved 2 year GATE scholarship Dissertation on Digital image watermarking project 1- Noise removal in digital images project 2- Bulk SMS scheme in PHP project 3- Online voting scheme in DOTNET
