Aleem Javed

Python Developer . Machine Learning Engineer

I am a Python developer by passion and profession with nearly a decade of experience in diverse technical areas. I am skilled in data science techniques, machine/deep learning algorithms, and full-stack development. I have further specialized in data science by obtaining a master's degree. Currently I am leading a team of machine learning engineers at a prominent multinational startup.

Practical Experience
Academic Background

Master's Degree in Data Science

National University of Computer and Emerging Sciences (NUCES)

Aug. 2018 ‑ Jun. 2020

  • Thesis Question Generation From Text Using Natural Language Processing & Deep Learning.

    Trained multiple variations of recurrent models on SQuAD dataset to generate question from the paragraph of text. Following NLP & Deep Learning techniques are used in this work, Bi‑LSTMS, Local & Global Attention Mechanisms, Copy Mechanism, Beam Search, Natural Text Preprocessing.

  • Courses Machine Learning, Deep Learning, Big Data, Statistics & Probability, Natural Language Processing, Social Network Analysis.

Bachelor's Degree in Computer Science

Punjab University College of Information Technology (PUCIT, Now FCIT)

Sep. 2011 ‑ Jun. 2015

  • Thesis AI-Powered Traffic Light Coordination: A Smarter Approach to Traffic Management

    This R&D project developed a system to optimize traffic signal timings. It involved collecting real-world traffic video data and using computer vision to count vehicles, then adjusting signal timings accordingly.

  • Courses Computer Programming, Object Orientations, Data Structures, Algorithms, Databases, Networking.
Skillset

Regularly & As-needed

  • Tools Python, Pandas, Numpy, Litestar, SqlAlchemy, Plotly, Jupyter Lab, IPython, Matplotlib, Scikit‑learn, NetworkX, Linux, VS Code, Pytorch, SciPy, Docker (Podman), Apache Airflow, Celery, Django, MySql, MongoDB, Scrapy, OSGeo, Javscript, D3.JS, HTML, CSS, Wordpress
  • Skills Software Development, Object Oriented Programming, Machine Learning, Statistical Modeling, Data Analysis, Data Engineering, Data Pipelining, Data Visualization, API Designing, Deep Learning, Natural Language Processing, Geo‑Spatial Analysis, Databases, Products Automation & Deployment, Full Stack Development, Web Scrapping
Professional Development

Machine Learning by Andrew Ng

Stanford Online, Coursera

July 2019

  • In this course, I learned to build and train supervised machine learning models for both regression and classification tasks. I explored techniques like regularization, gradient descent, and cost functions to optimize model performance and prevent overfitting.
Personal Projects

Pyyogi.com (Py Yogi)

Technical & Personal Blogging

July 2024

  • I did this project as a hobbyst. I tried to write each and every part of it from scratch. It is under development and close to be in production.