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Schedule Interview NowMy name is Hashem H. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Retrieval Augmented Generation, AI Chatbot, OpenAI API, Vector Database, LangChain, etc.. I hold a degree in Bachelor of Applied Science (BASc). Some of the notable projects I've worked on include: Vapi AI Agent Dashboard + Supabase + Webhook Integration, Customer Support AI Assistant, AI Knowledge Assistant for Internal Company Documents, hosted a dynamic website on AWS S3, Built Flask app with Redis, Dockerized, hosted on AWS EC2., etc.. I am based in Cairo, Egypt. I've successfully completed 7 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
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Google Summer of Code - Submitty Remote
Voice AI Agent Management Dashboard Built a full-stack Next.js app for creating and managing Vapi voice AI agents. Features: - Agent Creation: Custom voice agents with system prompts, models, vo
Built an AI assistant that handles repetitive support tickets for a SaaS product. The system retrieves answers directly from FAQs, product manuals, and historical chats, then responds in natural langu
built an internal AI knowledge assistant to help a client’s team quickly find answers from company documents (PDF, Word, Excel, reports) without wasting time searching manually. Employees can now ask
hosted a website on AWS S3. This wasn’t just “drag and drop some HTML.” I built out a clean, serverless frontend deployment pipeline using core AWS services: Created and configured a public S3 bucket
deployed a dynamic Flask web app with a Redis backend, containerized with Docker, and hosted on AWS EC2. Here’s what I tackled: - Wrote a Flask app to track page hits in real-time, backed by Redis fo
Bachelor of Applied Science (BASc) in Computer science