HADI ASKARI

Designing and maintaining an infrastructure enabling the automation of Deep Learning model training and deployment. Integrating and Using ML models in production for various NLP tasks (Using LLM and BERT models). Proposing and implementing solutions for optimizing processes and inferences Defining and implementing methods for monitoring & evaluating the performance of different models (based on language and number of data).

- Develop, evaluate, implement, and evolve collaborative filtering and topic modeling algorithms - Deploy the algorithms in collaboration with the Tech & Product teams within an A/B testing framework - Metadata optimization of content as well as developing metadata prediction models - Creation of new content representation dimensions

I was working with a team of data scientists, back-end, and front-end developers to build impactful Content Strategy thanks to Artificial Intelligence. - Experience in the state-of-the-art NLP technologies like OpenAI GPT-3 (or GPT-Neo, GPT-J), Bert (and derivatives: Alberta, Roberta, etc) - Training a deep neural network to get the landing page score using SageMaker - Building a Video text retrieval system - Creating (Product) Ranking and Recommendation System (suitable for e-commerce platform) - Computer Vision for Image and Video processing - SQL programming - GPU coding to train the deep neural network - AWS: SageMaker, Lambda, DynamoDB, S3, EC2

Working in the R&D team for developing a platform in the management field to automate, discover, and manage human resources competencies. Unsupervised & Semi-supervised Learning Statistical Modeling like CRF, HMM, MeMM Topic Modeling using Generative Statistical Model-Like LDA and hLDA

 Designed, planned and performed a theoretical and computational study to simulate a physical system using Fortran. Developed a new algorithm to solve a bunch of highly sophisticated mathematical equations.  Wrote abstracts and reports based on results. Presented the results of the studies at 4 national meetings. Published one ISI articles and two others in Scientific magazines.  Present data in the form of graphs, and tables for immediate reference. Analyzing and processing complex data using advanced querying, visualization, and analytics tools. Giving first-hand insight into the data and helping the team with application development.

 Employed quantitative methods with Mathematical and theoretical concepts to forecast the price of the market  Collecting data, developing an algorithm using a time series grey system methodology, writing the related code using Python, interpreting the results and creating related graphs, and check the accuracy of the model.  Publishing one ISI paper which has been cited 30 times until now.