AWS Associate Solutions Architect
Machine Learning models development, Computer Vision using Yolov5 and NLP using BERT
Backend technologies with Python/Django & Golang/Gin stack
Container Orchestration Solutions, Docker & Kubernetes

PackageX is a Product of VisionX Technologies.

Built Machine Learning Pipeline for our Video Analytics product Sight.
Worked on RDS (PostgreSQL) and AWS managed Elastic Search.
Worked with AWS based Cloud Deployment of ML Pipeline using AWS EC2, ECS Fargate, Sage Maker, Serverless Lambda & Kinesis Video Streams.
Designed and Implemented Alerts module.
Built and deployed Django based web applications on ECS Fargate and Lambda Functions.

Test-Driven backend web development using Python/Django, PostgreSQL.
Developed Front-End via HTML5, Bootstrap 4, JavaScript/jQuery.
Worked on Analytics Dashboard for our Ad partners/clients.
Worked on automated ad system for all vendors.
Worked on multiple feature enhancements and bug fixes using Heroku CI/CD pipeline.

Worked with Australian startup "Pop Up Wifi LLC" in building their Access Points and server infrastructure.
Developed an eCommerce web application utilising Python/Django, MySQL and AWS.
Developed a casino event prediction-er web application utilising Python (Pandas, Sickit Learn, Django), PostgreSQL and deployed on AWS EC2.
Worked on Amazon product reviews classification utilising Python's Pandas, Scrapy and performed various NLP techniques as per client's requirements.
Build CI/CD pipelines using Jenkins and Heroku for client's DevOps requirements.

Profile: https://www.upwork.com/fl/zaidafzal

Worked on virtual simulation’s driving, map and traffic maintainer.
Implemented Rule Catalog for German roads as a separate gRPC service.
Reduced response time in each frame to compute vehicle perception and rules violation.
Redesigned modules for simulation and introduced unit test cases for different services.

Network Security, Malware Analysis, Reverse Engineering (Python, Bash)
Worked with cyber security team to transform malware researcher’s expertise to machine learning/ deep learning models to filter and classify network packets (Benign/Malicious) on Access Point level.
Created scripts to extract process level information to make important features to train on machine learning algorithms.
Built and automated virtual machine for Mac OSX, Linux, Windows, Android OS to run and analyse latest malwares.

Built POC for company’s internal software system's UI 'DGnDB'
Developed app in Xamarin Forms for Cross Platfors (Android, Windows Phone & iOS)

Software Engineer | Cloud Architect

Zaid Afzal | Peerlist Profile

Implemented ‘The Onion Routing’ protocol on distributed nodes with encrypted and layered communication. (Golang)

TOR Implementation

Final Year Project
Developed intra-day web based trading platform using historical records of New York stock
exchange and trained machine learning algorithms (Random Forest, SVM) to predict price movement
for top 5 popular stocks. (Python, 

Zaid Afzal

Software Engineer | Cloud Architect

TOR Implementation

Algorithmic Trading