About

Backend developer | Machine learning engineer

I am a software engineer who is more focused on building quality backend for your scalable application.
My major experiences lies in building machine learning applications and serving them in a scalable manner through Rest Apis. I enjoy learning about in-depth details of software technologies that led to the development of revolutionary tools used by millions.

Posts

The Pixel Alchemy of Stable Diffusion

Deep Dive into modern image generation with Stable diffusion....

Augmentation of Generative AI and Human Intelligence: A Partnership of the Future

Intelligence is a salient feature of a human mind. It is a profound human attribute, encompassing our remarkable capacity to comprehend and interact with our environment....

Connect with me

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Email Me

aliharris727@gmail.com

Portfolio

Projects

Youtube-rag

This project is a RAG pipeline built using langchain to answer questions from a youtube video.

Project URL: https://github.com/Haris-Ali007/youtube-rag

Image generation app

This is a simple image generation app built using gradio and hugging face diffusers for image generation using stable diffusion. It allows user to easily adjust different parameters and test how generation results change for a model.

Project URL: https://github.com/Haris-Ali007/Image-generation-app

Transformers from scratch

This is an implementation of famous transformer model in tensorflow and a complete tutorial for training the model on a dataset.

Project URL: https://github.com/Haris-Ali007/transformers-from-scratch

Django CRM

This is a simple django CRM to handle customer data, product records and the purchases they made. The purpose of this project is to show how we can use python and implement web based CRM.

Project URL: https://github.com/Haris-Ali007/django-crm

Resume

Check My Resume

Education

Bachelors of Computer Engineer

2017 - 2021

University of Engineering and Technology, Taxila, Pakistan

Cumulative GPA: 3.89

Professional Experience

Machine learning engineer

7/2022 - Present

Formulatrix - Lahore, PK

  • Part of the MARCO team responsible for the research and development of improvements for their latest classification model. Provided an improvement technique for their classification model resulting in an accuracy boost.
  • Part of the team responsible for development, integration and deployment of the latest inference flask-api for the premium users of MARCO.
  • Built automation scripts for complete inference and results analysis of customers data.
  • Responsible for tracking and analysis of the data scoring teams performance. Build datasets, collect scoring stats, compute performance metrics and discuss disagreements for further improvements
  • Responsible for maintenance and improvements of the data scoring platform.
  • Manage and improve the backend python django server for their in house developed sites and services.

Machine learning engineer

10/2021 - 7/2022

Zoneomics - Lahore, PK

  • Developed computer vision solutions for processing of land-use data. Worked on their existing land-use data processing plugin and improved its accuracy of zone detection with the help of image processing and computer vision techniques. Integrated additional post-processing methods introduced by their GIS team. Worked on a zone-name classification api to provide zone information data along with its visual features. Improved the design of the plugin and added additional features to make it more user friendly
  • Researched on algorithm for extracting land-parcel information from street view data. Data extraction from different online sources. Development of the first version of the land-parcel detection model.
  • Researched on GANs for generating synthetic images for further improvement of land-zones detection systems

Research Intern

3/2021 - 6/2021

Swarm Robotics Lab - NCRA, PK

  • Worked on robot vision using SLAM. Assisted in running Collaborative Centralized Monocular SLAM (CCM SLAM) on a server client network supported by Nano-pi to provide collaborative mapping for a swarm of robots

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