Ariyan Azami

Augova builds AI automation for small and mid-sized businesses: the phone line, the document pile, and the manual steps between a booking and a paid invoice. I co-founded it in August 2026 and co-led it as co-president through November 2026, when I stepped away.

• •Led business development: met with business owners, mapped how each business actually ran, and turned that workflow into a tailored AI solution.
• •Oversaw how Augova contracted and delivered, from the service agreement and service-level commitments to the privacy and data-processing terms and the proof period every new client started with.
• •Helped shape Augova's four product lines: voice agents that answer on the first ring in five languages and book appointments live on the call; document intelligence that files incoming documents and answers questions with citations; event-driven process automation for scheduling, invoicing, and follow-ups; and custom AI for workflows nothing off the shelf fits.

Appli is an AI hiring and professional-marketplace platform, the LinkedIn-style side of recruiting rather than the job-board side. I work on the backend.

• •Sole developer of the community recommendation engine, now in production across four services.
• •Built the connections and followers social graph behind 14 REST endpoints.
• •Cut p50 endpoint latency 5.4× by replacing an N+1 read pattern with fixed three-round-trip batch hydration.
• •Shipped the nightly Activity Score job, a half-life decay over dozens of weighted event types.

• •Developed and trained U-Net segmentation models in PyTorch and TensorFlow to localize early-stage disease markers, tuning architecture depth and augmentation for small clinical datasets.
• •Wrote Python preprocessing pipelines that normalize heterogeneous imaging inputs, later extended with Stable Diffusion synthesis.

• •Provided day-to-day IT support for staff and the practice's digital systems.
• •Maintained the practice's website and digital infrastructure.
• •Supported patient-facing communication and scheduling systems, where clarity and discretion mattered more than speed.