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Schedule Interview NowMy name is Ehsan A. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, Machine Learning, Model Tuning, TensorFlow, Flask, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Build Voice Recognition Language Test for Website, Detect Documents Categories and Redact Sensitive data in Images, Masked Faces Detection, Azure Data Warehouse, MLOps: Automate ML model deployment with Azure services, etc.. I am based in Lahore, Pakistan. I've successfully completed 8 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
6 years
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Visionet Systems Inc.
Developed a German voice recognition test using AWS Transcribe and a Word2Vec model for accurate speech-to-text and evaluation. Backend built with Flask + Gunicorn and deployed on AWS ECS. Frontend cr
The main purpose of the project was to work with the VPA dataset that contains annotated data for different kinds of documents using the DETR objection detection model. There were two important stages
In this project, I trained YOLOV4 on the MAFA Dataset using Darknet which is an open-source neural network framework to detect masked and un-masked faces in a live crowded environment. First, data was
As a DevOps Engineer, my main responsibilities were developing Azure Data Warehouse IAC and CI/CD pipelines. Below is the list of major items completed during the project: Developed build and relea
Below is the list of items achieved during this project Created an Azure ML workspace to manage machine learning assets. Prepared data by cleaning, transforming, and pre-processing it. Trained a mod
Bachelor of Computer Science (BCompSc) in Computer science
2016-01-01-2020-01-01