Experience

Musketeers Tech

• United States
• IT Services and IT Consulting
• 1 - 100 Employee

• Chief Technology Officer

  • Nov 2022 - Present

  ▪ Oversee the company's technical operations and ensure alignment with business goals.▪ Manage the Software Development Life Cycle (SDLC) of technology products and services, such as web development, Artificial Intelligence and DevOps/Cloud services. ▪ Keep up with latest developments and trends in the tech industry and make decisions about which technologies to invest in.▪ Work closely with other members of the executive team to develop and implement overall business strategies.▪ Hire and manage a team of technical professionals.▪ Ensure that the company's technical operations are efficient, effective, and aligned with business objectives.

• Artificial Intelligence Team Lead

  • Jul 2022 - Oct 2022

  ▪ Developing ETL data pipelines using Pandas, PostgreSQL, MongoDB.▪ NLP (GPT-NeoX), Object Detection (YOLO), OCR Model training and fine tuning on Google CloudVertex AI Workbench.▪ Taking AI/ML experimental projects to production. ▪ Model Deployment on AWS EC2 with Nginx and PM2 Configuration.▪ Chatbot Development & Long document QA using Rasa, spaCy, haystacks and Transformers.▪ Responsible for training team members, setting training strategy and monitoring progress towards goals.



Devsinc

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• ASE

  • Feb 2022 - Jun 2022

  ▪ Developing MVC web apps using ruby on rails.▪ Designing robust database schema.▪ Developing RESTful APIs.▪ Designing front-end using JavaScript, HTML5, CSS3, SASS ▪ Developing MVC web apps using ruby on rails.▪ Designing robust database schema.▪ Developing RESTful APIs.▪ Designing front-end using JavaScript, HTML5, CSS3, SASS



AIM (Artificial Intelligence & Machine Learning) Lab | FAST NUCES

• Associate ML Engineer

  • Aug 2021 - Mar 2022

  Creating Machine Learning Pipelines for Time Series, Tabular, Images, Text Data.Multi-modal model training and deployment.Developing Interpretable systems using Knowledge Graph.Technology stack: Python (pytorch, tensorflow, keras, darts, fbprophet, opencv, transformers), SPARQL, Docker Creating Machine Learning Pipelines for Time Series, Tabular, Images, Text Data.Multi-modal model training and deployment.Developing Interpretable systems using Knowledge Graph.Technology stack: Python (pytorch, tensorflow, keras, darts, fbprophet, opencv, transformers), SPARQL, Docker