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SELECTED WORK / 2022 — PRESENT

Career snapshots.

Ideas become more interesting
when you build them.

A closer look at the systems I’ve helped bring to life — from research and computer vision to agents operating in the real world.

Currently building at GilesDownload CV
01Agentic systems2026 — Present
4queue dispatches per second

Giles.app

Making complex agents work together.

AI Engineer at Giles

Infrastructure for multi-agent research: asynchronous inference, coordinated tools, and resilient knowledge pipelines.

  • Google ADK
  • MCP
  • Vertex AI
  • Qdrant
  • Cloud Tasks
  • MongoDB ACID
Engineering details
  • Architected asynchronous LLM Queue middleware that decouples Google ADK agents from Vertex AI (Gemini 2.5/3.5) through Google Cloud Tasks, with a dead-letter-queue sweeper.
  • Built hierarchical multi-agent trees with turn-scoped contexts and declarative MCP tool servers covering European HTA bodies: IQWiG, G-BA, HAS, and NICE.
  • Engineered a cluster-global permit scheduler in Qdrant and resilient ETL pipelines.

United Kingdom / Remote

02Computer vision2025 — 2026
<150 msreal-time inference on iOS

PointRef Inc.

From pixels to a decision on court.

AI Pickleball Officiant

Real-time pickleball officiating on native iOS, connecting camera geometry, ball trajectories, and on-device inference.

  • 3D PnP
  • Core ML
  • Homography
  • Swift iOS
  • YOLO
Engineering details
  • Formulated monocular 2D-to-3D solvePnPRansac camera calibration and planar homography for metric 20 × 44 ft court registration.
  • Designed parabolic bounce detection and paddle-contact rejection, then converted models to Core ML for real-time edge inference.
  • Advised Mosalam Ebrahimi, formerly of Meta Reality Labs, on the computer-vision system.

Sports technology · Advisory

03Production AI2024 — 2025
11renovation modalities

Accuwiz Tech · PadStyler.com

Reimagining a room. Preserving its structure.

Virtual Staging Platform

A generative vision engine for virtual staging, refurnishing, and remodeling, with depth-aware control over room boundaries.

  • SegFormer
  • MiDaS Depth
  • YOLOv11
  • FastAPI
  • Redis
  • AWS S3
Engineering details
  • Delivered the core generative vision engine across virtual staging, wall and floor refurnishing, remodels, and other renovation modalities.
  • Combined fine-tuned SegFormer, YOLOv11, and MiDaS depth with Boolean mask algebra to lock structural room boundaries.
  • Productionized the system on AWS with FastAPI, Redis session management, and S3.

Generative vision

04Multi-agent RAG2024 — 2026
20 daysaudit cycle, reduced from 6 months

InstaComply · SelfCompl.ai

Turning compliance into a working system.

AI Architecture at SelfCompl.ai

A modular multi-agent retrieval system for enterprise audits, with human review and traceable compliance workflows.

  • Multi-Agent
  • LangChain
  • Pinecone
  • AWS Textract
  • PostgreSQL
Engineering details
  • Architected SelfCompl.ai for GDPR, ISO-27001, and SOC2 audits with real-time compliance gateways and compliance-as-code.
  • Built human-in-the-loop audit trails and feedback, and multi-LLM orchestration across Claude, GPT-4o, and Gemini.
  • Authored more than five governance research papers alongside the engineering work.

Legal technology

05Medical researchFeb 2022 — 2023
>0.91chest X-ray classifier AUROC

Wiseyak Inc.

Making predictions more interpretable.

Medical Diagnosis & Video TransCNN

Medical-image classification, explainable diagnostic views, and a hybrid CNN–Transformer architecture for video.

  • Grad-CAM
  • CLIP
  • TransCNN
  • PyTorch
  • Meta SAM
Engineering details
  • Joined as a Machine Learning Researcher in February 2022. Engineered chest X-ray report generation across ten diseases using CLIP embeddings and a multi-label classifier.
  • Integrated Grad-CAM explainability into the radiologist cockpit and combined CLIP with GPT-2 for report generation on imbalanced data.
  • Designed TransCNN for medical-video denoising and next-frame prediction, and built a plant-disease domain-adversarial neural network using Meta SAM.

Medical AI & Research

06Healthcare GraphRAG2025 — 2026
10,000+CMS coverage rules indexed

Accuwiz Tech

Connecting knowledge to clinical questions.

Signal Healthcare Ecosystem & Spatial CV

Graph-based retrieval for healthcare intelligence, stateless document understanding, and spatial vision for design tools.

  • Neo4j GraphRAG
  • Model Context Protocol
  • Vision LLM
  • Spatial Homography
Engineering details
  • Architected SignalDX using Neo4j GraphRAG, with an autonomous MedicareAgent over live MCP. SignalMD covered more than 100 biomarkers.
  • Built SignalDoc, a stateless Vision LLM that classifies 22 document types with fully in-memory, zero-disk multipart buffering.
  • Built Lightology perspective homography and a Cabinet Design computer-vision engine that unwarps kitchen photographs into 2D orthogonal blueprints.

SignalDX.ai · Lightology · Cabinet Design

WHAT COMES NEXT

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