Salman Ahmad Khan Email & Phone Number

Islamabad, Pk

Islāmābād, Pakistan

Dubai, United Arab Emirates

• Data Analysis Modeling: Developed and implemented machine learning algorithms to analyze large datasets,providing actionable insights and predictive analytics to drive strategic business decisions.• Data Engineering: Designed and maintained data pipelines and workflows for efficient data collection, cleaning, andprocessing using tools such as SQL and Python• Visualization Reporting: Created data visualizations and dashboards using tools like Tableau, Power BI, andMatplotlib to effectively communicate findings and trends to stakeholders.• Collaborated on a large-scale project, enhancing AI solutions for language processing and entity recognition.Implemented NER pipeline using Roberta model for entity recognition• Collaborated with cross-functional teams to translate business needs into technical solutions.

Islāmābād, Pakistan

• Data Analysis and Engineering: Deal with large, multi-modal datasets, preprocessed and engineered the features of using Python frameworks (Pandas, OpenCV, Scanpy ...). Implemented the Generative AI models for synthetic data.• Neural Network Modelling: Develop, implement, and finetune the Neural Network models such as Vision Transformers and Convolution Neural Networks for Crop Disease Identification using PyTorch.• Worked on Crop Disease Identification using Advanced and Efficient Light-Weight Vision Transformer.• Train new undergrad students in Lab’s AI skills.

Cyprus

• Data Engineering: I worked on an NHS, UK project. I developed a predictive system to reduce patient no-show rates, leveraging synthetic and EHR data using DQN and Neural Networks using Keras & OpenAI Gym.• DQN and Neural Network Modelling: Utilized Geneteartive AI approaches such as GANs, VAEs, andTensorFlow Probability to generate synthetic patient records. Created custom deterministic gym environmentand RL agent. Optimized the model using different approaches i.e. exploration-exploitation tradeoff approach, etc.• The key responsibilities include coding, research, code review, building models, assisting senior engineers with tasks, assisting with interviews and team selection, interacting with our scientific advisors, interacting with founders, spec writing, architecture, and planning, and data-related tasks, playing a product owner role, writing proposals, quality assurance, project management, assisting with DevOps and MLOps, assisting with Tiny ML, embedded software, and so on.

Islāmābād, Pakistan

• Data Engineering and Predictive Modelling: Developed supervised predictive models (ANN, KNN, SVM,Catboaost) for Obstructive Sleep Apnea (OSA) severity using patients clinical data, leveraging data preprocessing,feature engineering, and visualization techniques with tools like Pandas, Matplotlib, Seaborn and Scikit Learn.• Used Bash and Python to build the groundwork for the company’s genomics analysis tools.• Train two interns under my supervision in the Machine learning domain.

Islāmābād, Pakistan

Key Responsibilities: - Report Writing - Handling Official Websites - Content Writing - Graphic Designing

Islāmābād, Pakistan

Research Writing Data AnalysisInternational Academic Projects

Islāmābād, Pakistan

• Scipting: Develop a script for finding virulence factors based on Identity and score in the Virulence factor databaseusing Python and Bash.• In silico Vaccine designing: Worked on Computational Design of a Vaccine for Helicobacter Pylori• Protein Structure Modelling: Used Comparative modeling method to predict homologous protein to target protein to find the target protein function and its biological pathway.• Wet lab experiments i.e. Gel Electrophoreses, DNA Extraction, PCR, etc, and scientific report writing.

Master Of Science - Ms, Data Science And Machine Learning

Major Subjects: Machine learning, Deep Learning, Computer Vision, Big Data Analytics, Natural Language Processing, Cloud Computing, Tools.

Bachelor Of Science - Bs, Bioinformatics

Major Subjects : Genomics, Proteomics, Modeling and Simulation, Pharmacoinformatics, System Biology, Artificial Intelligence, Design.