experience

1. Computer Science Instructor [Experience Letter]

  1. Q.I. Roberts Jr. - Sr. High School · [Aug 2021 - Dec 2021 · 5 mos]
    Taught “Introduction to Artificial Intelligence” for Students of Grade 11-12

  2. Herald International College · [Jul 2021 - Nov 2021 · 5 mos]
    Designed and implemented daily lesson plans and coding sessions for the course “Foundations in AI: Computer Science and Mathematics” to undergraduate BSc.CSIT students.

The course included the following topics:

  • Introduction to AI
  • Object-Oriented Programming with Python
  • Database
  • Data Structure and Algorithmic Analysis
  • Software Development Methods
  • Web applications and APIs

2. Machine Learning Engineer Associate [Experience Letter]

Feb 2021 - Dec 2021 · 11 mos

Fusemachines

  • Working on Recommendation System using Elastic Search, MongoDb, FastAPI, AWS Services and Questions Answering and Difficulty Ranking Model using Haystack
  • Worked on Text-to-Speech Generation and Video Automation tool for FuseStudio that focuses on creating automated videos based on slide presentation and scripts. It focused on the implementation of TTS with Tacotron2, MelGAN, HiFi GAN models.
  • Worked as a curriculum engineer to design, create, review, refine course contents for Fusemachines AI Education Programs, MicroDegree in Artificial Intelligence: Machine learning, Deep Learning and Natural Language Processing.
  • Worked on the server and server less AWS services like AWS Sage maker, EC2, lambda, Glue ETL, S3, Elastic Search, SQS and more.

3. Machine Learning Engineer Associate Trainee

Jul 2020 - Feb 2021 · 8 mos

Fusemachines

  • Focused on writing interactive student engaging materials on Deep learning, Machine Learning and Natural language processing for Microdegree Course
  • Worked on developing machine learning models specifically focused on classification and regression on structured data
  • Worked with tools that are involved in the life-cycle of a machine learning model like creating RESTful API using Flask, Deployment with Docker and Heroku, logging with mlflow, monitoring with Tesnorboard and exploratory data analysis using Mito.
  • Paper Reading sessions (lead by Dr. Bishesh Khanal, Phd)
    • Vaswani, A., Shazeer, N.M., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., & Polosukhin, I. (2017). Attention is All you Need. ArXiv, abs/1706.03762. Link
    • Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to sequence learning with neural networks. Advances in neural information processing systems, 27.Link
    • Goodfellow, Ian, et al. “Generative adversarial nets.” Advances in neural information processing systems 27 (2014).Link