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Schedule Interview NowMy name is Taha H. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, FastAPI, Python, AI Agent Development, LangChain, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Spellbook Onboarding AI Agent, AI-Powered Academic Assistant Suite Prompt-Driven Automation, AI-Powered Clinical Insights & Symptom Checker Platform, Multi-Agent Automation Workflow Orchestration Using n8n, Automation via Make.com & GPT, etc.. I am based in Portland, United States. I've successfully completed 13 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
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Amazon
Led the end-to-end integration of a conversational AI agent onto Spellbook's marketing homepage to automate user onboarding and lead capture. Engineered the secure connection between the chat client and the backend LLM API with OpenAI implementing custom logic for intent detection and routing.
Designed and implemented a scalable suite of AI tools to automate academic tasks. Developed sophisticated prompt chains for a text summarizer, math problem solver, and dynamic diagram generator. Engineered system prompts for reliability and user-friendly jQuery front-end integration, resulting in a versatile homework helper platform that reduces task completion time by over 60%.
Built an AI-driven health platform enabling users to assess symptoms and get medical second opinions from top-tier doctors. Integrated a multilingual LLM pipeline for dynamic symptom evaluation and personalized suggestions, backed by proprietary medical knowledge. Developed API endpoints to support web and app-based experiences, ensuring HIPAA-aligned data handling and fast response times. Focus was on natural dialogue flows, clinical accuracy, and scalable deployment.
Designed and implemented a multi-agent automation system using n8n to handle complex workflows across multiple services including Slack, OpenAI, HTTP APIs, and more. The system routes different triggers to specialized agents that perform tasks like data enrichment, report generation, and notifications.
Built an AI-powered automation that streamlined 50+ weekly content tasks by connecting ClickUp, GPT-4, and Google Sheets via Make.com. The system handles research, content generation, formatting, task updates, and email notifications—cutting manual work by 70% and speeding up delivery cycles by 3x.
Bachelor of Engineering (BEng) in
2016-01-01-2020-01-01