Sheikh Shams Azam bio photo

Sheikh Shams Azam

Apple  | Purdue | NITK

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MOOC Courses

  • Machine Learning, Coursera: Solutions to the problems posed in the Coursera course by Dr. Andrew Ng. [certificate] [github]

ML Projects

  • [P8] BetaFold: A Lightweight Protein Prediction Architecture. ECE 695, Purdue University, Spring 2022. [pdf] [slides] [code]
  • [P7] Customer Conversion Prediction and Marketing Assistance using NLP, Connected Components, and CatBoost. Purdue University, Spring 2021. [pdf]
  • [P6] Variational Auto-Encoder for Multimodal Representation Learning. ECE 570, Purdue University, Fall 2021. [pdf] [slides] [code]
  • [P5] Kalman Filter with Neural Networks, and Variational Autoencoders with Normalizing Flows. ECE 695, Purdue University, Spring 2021. [slides] [code]
  • [P4] Medical Contextual Highlighter: Highlight Medical Concepts Using LSTM-Ngram Network. Won 2nd Prize at Practo Open Hackathon. [github]
  • [P3] ICD-10 Data Scraper: Code to Scrape Data from [github]
  • [P2] Dockerized Environment for ML: Dockerized implementation to setup python ML environment with support for Torch, Tensorflow and other commonly used libraries. [github]
  • [P1] IndiaHacks 2017: Solution to problems posed at India Hacks 2017 organized by Hackerearth. Secured 46th All-India rank. [github]

Other Projects

  • [O5] Tesseract 4 API: RESTful implementation of Tesseract 4 functionalities using Flask. [github]
  • [O4] Serverless on Docker: Dockerized implementation of serverless functions on AWS. [github]
  • [O3] Github Pages V2: Dockerized implementation of github pages with Medium flavor. [github]
  • [O2] Github Pages V1: Dockerized implementation of light github pages from scratch. [github]
  • [O1] Flask Application Starter: Flask application using docker running on Uwsgi. [github]