Monis Ali

is looking for freelance projects. 🔎

Angestellt, Python Developer, Facehawk Limited

Islamabad, Islamabad, Pakistan, Pakistan

Über mich

A Computer Engineer, helping individuals and companies to develop AI based systems. I working on AI, Computer Vision and Data Analytics technologies as a Software Development Engineer in DELTA Technology Consulting Pvt Ltd (DTCPAK). Responsible for Research & Development of state-of-the-art AI Models, their deployment and getting analytics, visualization from realtime time-series data. Also, developed an Artificial Intelligence based Facial Recognition System (FACEHAWK) for public safety and security. FACEHAWK is a state-of-the-art AI based package solution with multiple features. Started career as a freelancer and worked for a year. Completed projects related to Face Recognition, Object Recognition, IoTs (Raspberry Pi), Data Scrapping and Automation. Also, worked on API development and Integration. Interested in AI, Computer Vision, Data Analytics, System Programming (Linux) and Cyber Security.

Fähigkeiten und Kenntnisse

Python
FastAPI
Open source computer vision
AWS Cloud
Face Recognition
Automation
Raspberry Pi projects
Flask (web framework)
Linux
SQL
Backend
Docker
Artificial intelligence
GitHub
MongoDB
Selenium
API
REST
NoSQL
Web Crawling
Python pandas
Bash (Unix shell)
Research and Development
Data Analysis
Git
AWS
Machine Learning
NumPy
PostgreSQL
Reliability
Commitment
Team work
Flexibility
Communication skills

Werdegang

Berufserfahrung von Monis Ali

  • Bis heute 2 Jahre und 11 Monate, seit Aug. 2021

    Python Developer

    Facehawk Limited

    - Market research for AI based products and analyzing competition. - Finalizing features for MVP (Minimum Viable Product). - Research and Development for AI models and techniques. - Prototyping for each feature and testing. - Development of APIs (using FastAPI) backed with AI models for specific feature. - Integration with Database (MongoDB). - Protecting endpoints using authentication methods like JWT token and cookies. - Deployment on local server using Uvicorn, Nginx load balancer.

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