Our Mission
Tax compliance in emerging markets is broken. We're fixing it with AI that doesn't just automate—it understands, learns, and optimizes.
AI-First Approach
Building intelligent agents that understand tax law context, not just process forms.
Global Vision
Starting with UAE, expanding to 50M+ SMEs across emerging markets worldwide.
Privacy by Design
Zero-knowledge architecture ensures your financial data remains yours alone.
Meet the Founder
Hamza Khan
Founder & CEO
Greater NYC Area
Software Engineering Resident at Headstarter and AI/ML engineer with 5+ years of Python experience. Currently pursuing an M.S. in Computer Science at Pace University's Seidenberg School, with a Bachelor's in Computer Applications from Jamia Hamdard University.
I specialize in building AI-powered applications from concept to production, with expertise in LLM fine-tuning, RAG pipelines, and full-stack development. I've deployed 10+ LLMs balancing latency and accuracy and led backend optimizations that improved system performance by 30%.
Key Projects & Experience
- Taxora AI – Leading AI features including LLM fine-tuning, real-time deduction classification, and conversational tax engine using Docker CI/CD.
- SimplifyMed (Mandolin) – Multimodal AI pipeline for extracting patient data from 50+ page medical referrals using PyMuPDF and OCR.
- AI Support Agent (Aven AI) – Full-stack multimodal support agent with RAG pipeline using Pinecone, Gemini API, and voice AI via Vapi SDK.
- MCP Server – Model Context Protocol server combining LangChain, Gemini, and Airtable/Notion APIs for autonomous AI workflows.
- Software Engineer at SimplifyNote – Led backend optimization with Node.js/Express, improving performance by 30% and user engagement by 50%.
Tech Stack
Join Our Mission
We're looking for talented individuals who want to revolutionize tax compliance with AI. Currently open to internships and full-time roles in AI product development, mobile engineering, or cloud infrastructure.
View Open Positions