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Hello, I'm Mehak RafiqπŸ‘‹

About Me

I'm a data scientist with a PhD in Bioinformatics from the UK, currently working as an assistant professor at NUST. I specialize in machine learning, with a focus on generative AI, data analytics, and deep learning technologies. My experience includes developing AI-driven solutions for health monitoring, image processing, and data extraction from complex datasets.

Expertise

  • Generative AI: Experience in designing and deploying models that automate and enhance creative processes.
  • Data Analytics: Skilled in transforming complex datasets into actionable insights.
  • Machine Learning: Extensive background in neural networks, deep learning, and algorithm optimization.
  • Project Highlights:
    • Health Monitoring: Developed algorithms for wearable technologies to monitor soldier health.
    • ECG Classification: Utilized neural networks for the classification of 12-lead ECG signals.
    • Image Processing: Created AI solutions to validate headshot orientations and extract data from scanned documents.

Tools & Technologies

  • Languages: Python, R & SQL
  • Frameworks/Libraries: TensorFlow, PyTorch, Scikit-Learn, Keras, FastAPI, Flask, Django
  • Tools: Postman, Docker, Kubernetes, GitHub

Current Projects

  • Skill Database Development: Leading a project to develop a skills database from job titles using AI.
  • Image Analysis for CVB: Enhancing image processing algorithms for commercial applications.

Contact Me

Feel free to reach out if you're interested in collaborating on projects or if you have opportunities that align with my expertise.

Mehak Rafiq's Projects

ab-bind icon ab-bind

Antibody Binding Mutational Database

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

azurechatgpt icon azurechatgpt

πŸ€– Azure ChatGPT: Private & secure ChatGPT for internal enterprise use πŸ’Ό

cmolgpt icon cmolgpt

GPT (Generative Pre-trained Transformer) for de novo molecular design by enforcing specified targets

dockstring icon dockstring

A Python package for molecular docking with an extensive, highly-curated dataset and a set of realistic benchmark tasks for drug discovery.

ecg_qlearning icon ecg_qlearning

Advancing ECG diagnosis using reinforcement learning for generalized interpretability of P waves and PR intervals

esm icon esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

for_epcam icon for_epcam

Unconstrained lattice antibody-antigen bindings generator

functiontest icon functiontest

Functions as a method to raise level of code abstraction

igfold icon igfold

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies

iglm icon iglm

Generative Language Modeling for Antibody Design

low-n-protein-engineering icon low-n-protein-engineering

Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".

metagpt icon metagpt

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

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