Abdul Hannan
AI Systems Engineer, Voice AI & automation for SaaS
New to Contra
Abdul is ready for their next project!
• Created application with a React front end and a Python/Django back end.
• Worked on the front and back ends of a Python/Django application in the healthcare industry.
• Finished after 15 months when the app was completed.
• Created a Flutter mobile/web app with a Firebase back end that tracks and manages to spend for missionaries. Worked both online and offline.
• Worked on a portfolio app using React Native, Navigation, and Redux.
0
14
Project provides stock predictions for investors from well known influencers of stock. Biggest challenge was to process tons of videos from YouTube extract transcripts from videos and then process them from openai to make structured predictions about US stocks. Predictany is SaaS product and have subscription model. We get these predictions from social media youtube by crawling though it. We solved this challenge by a microservice architecture based on celery django and lambdas. Lambda are scaled up as more moves are being made in stock market
0
17
I worked as a Full Stack developer for this voice AI platform, used elevenlabs, Vapi.ai (http://Vapi.ai), OpenAI and n8n for the backend development.
On the frontend, I used React, Next alongside Saga. I also used TypeScript because React + TypeScript makes the code mature and bugfree.
0
21
Built the backend architecture for Simz.com (http://Simz.com) with modular APIs, multi-tenant data handling, and secure authentication. Implemented core endpoints for user workflows, added background jobs for async tasks, and containerized the services with CI/CD for smooth deployments. Delivered a scalable backend that supports continuous feature growth and stable performance.
2
1
71