Momin Aziz

About

Data Scientist and ML Engineer

Md Momin Al Aziz has accumulated 8 years of experience in software development, research, and development. He has worked on a variety of projects related to web development, data security, and machine learning. In particular, he has spent over 4 years specializing in machine learning for Natural Language Processing. Additionally, Md Momin Al Aziz has dedicated 3 years to scaling Deep learning models on AWS, GCP and Azure Environment, as well as managing their life-cycle. He has also demonstrated his ability to manage multiple teams for labeling or annotating large-scale text data for over 1 year.

As a backend programmer, Md Momin Al Aziz has gained extensive experience in Python, .Net, and JavaScript. He has proven his skills in designing, developing, and implementing Microservices and Rest APIs on AWS and GCP Cloud. Furthermore, Md Momin Al Aziz is an accomplished information security researcher who has designed computationally scalable and cryptographically secure frameworks.

With a strong focus on deep learning and natural language processing, Md Momin Al Aziz is an experienced machine learning programmer. He possesses knowledge of cloud infrastructure and security, cryptographic concepts, as well as privacy regulations such as GDPR and HIPAA.

  • Email: info@maziz.ca
  • Website: www.maziz.ca
  • Phone: +613 795 2139
  • City: Stittsville, Ontario, Canada
  • Degree: Doctorate
  • Education: Computer Science
  • University: University of Manitoba

Facts

Momin Al Aziz has a docrate from University of Manitoba, specializing on Data Security and Privacy. Alongside academic experience, he worked on several machine learning projects targeting text data and large language models. Momin specializes in developing novel ML models for complex business use-cases and ready them for production.

Years of Experience

Commercial Projects performed at various capcities

Machine Learning Projects NLP, LLMs, Rule Engines

Cloud Systems AWS, GCP, Azure

Resume

Sumary

Momin Aziz

Innovative and deadline-driven ML Engineer with 8+ years of experience designing and developing user-centered ML applications on textual data

  • 718 Painted Sky Way, Stittsville, ON
  • (613) 795-2139
  • info @ maziz.ca

Education

Doctor of Philosophy (Ph.D.)

2017 - 2022

University of Manitoba, Canada

Computer Science

Master of Science (M.Sc.)

2015 - 2017

University of Manitoba, Canada

Computer Science

Professional Experience

Senior Voice Data Scientist

2022 - 2023

San Francisco, CA, USA

  • Create and maintain lifecycle of an NLU engine that predicts the items ordered by a customer in a drive-through (GPT3, Huggingface, Rule-based Engine)
  • Finetune GPT3 models and customize prompts for higher prediction accuracy)
  • Utilize open-source language models to create a GPT-3 parallel prediction framework for on-premise solution)
  • Write CI/CD pipelines to test the NLU performance and deploy to different environment (gitlab CI/CD)
  • Manage multiple annotation teams to produce high quality labeled data (MTurk, LabelStudio, DataSaur)
  • Train and improve the audio to text predictions using Azure's Automatic Speech Recognition module (Azure Speech, AWS Polly)
  • Customize Text-To-Speech module from Azure for on-prem and on-cloud deployments (Azure Speech)
  • Manage data infrastructure for AI team on event-driven backend (Kafka, ElasticSearch, AWS Redshift, Docker)

Data Scientist

Paystone Inc, London, Ontario, Canada

  • Use Google Cloud Platform to develop Machine Learning APIs for text data (GCP Vertex)
  • Write NLP mechanism to generate text for content generation, chatbot, topic identification, snippet extraction (GPT3, HuggingFace)
  • Integrate ML APIs to Google addons, Google Docs and chrome extensions
  • Functional and Load testing different ML endpoints using K6 scripts
  • Utilize GCP data warehouse solution BigQuery for different ML training pipeline
  • Integrate with an event-driven Typescript back-end application

Intermediate Machine Learning Developer

Assent Compliance, Ottawa, Ontario, Canada

  • Employ state-of-the-art Deep learning techniques to extract critical information from image and text data
  • Build intelligent system to assist humans to assess Compliance Documents from arbitrary sources and languages
  • Transformer based models on compliance documents and deploy pipelines such as QA, Classification, Similarity, NER etc. (BERT, HuggingFace)
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Utilize AWS machine learning infrastructure (SageMaker) and Serverless API design to serve requests from different endpoints (AWS Lambda, State Machines, SNS, SQS)
  • Configure and deploy implementations to AWS Cloud using Cloudformation and Python
  • R&D on information extraction from textual data-sources using different Machine Learning (ML) techniques (OCR, Spacy, HuggingFace)
  • Transform and load text data from different sources ( pdf, images, xml, AWS Textract, Translate, Tesseract)

Intermediate Software Developer

Rapid RTC, Winnipeg, Manitoba Canada

  • Design, develop, and test internal and external web applications with .NET framework (C#, Entity, MSSql)
  • Integrate web services and apps that rely on different internal and external solutions (RabbitMQ,Twillio)
  • Provide zone based (i.e. North America and European Union) high traffic asynchronous web services and RestAPIs in the organization web architecture framework (RestAPI, SOAP)
  • Conduct code reviews and error logs to fix different production application bugs (Grafana, Graylog)
  • Manage multiple feature requests and application enhancement (Azure DevOps, Git, Agile)
  • Ensure stable performance upon increased data and transactions on MSSql server (New Relic, dotTrace, SSMS)
  • Write queries using SQL Server reporting services to generate web application reports (SSRS)

Contact

Location:

Stittsville, Ontario, Canada

Call:

+1 613 795 2139