• Led QA team in coordination with Behavior Scientist, UX designer, advisors and CEO to bring COPPA compliant vision for AI-assisted coaching to life.
• Built multi-tenant auth layer supporting SMS, SSO, email, OTP, & backend batch team imports; with CORS / CSP rules, & strict RBAC permissions on all content, all isolated per org subdomain.
• Designed centralized entitlements system connecting Stripe payments to each step of a 12-week course.
• Integrated Azure Cognitive Services for live voice assessment and lesson facilitation; OpenAI with server-side content orchestration.
• Observability & product analytics: Instrumented client and server with PostHog so feature usage and funnels are measurable in production.
• Supported iOS, Android and web with ReactJS, Material-UI, ReCharts & Flutter / DART to handle Deep Links, SafeArea, Push Notifications and OAuth login from native social app sessions.
• Automated end-to-end regression coverage with Playwright, producing videos with close captioning to publish as part of system health page.

• Maintained Django APIs and MySQL db powering ~150 write requests / second (+ EventBridge triggers after insert) - when hundreds of offline apps resync at once; with worker pool via Lambda auto-scaling. Images uploaded to S3 synchronously with 3 staggered retries.
• Built a server-side pipeline that turns campaign form templates into on-device redaction descriptors (SIFT keypoints + field geometry), so canvassers’ phones can redact PII and verify fields are filled out.
• Optimized SQL queries and aggregation endpoints for analytics dashboard, doubling data output while maintaining speed and adding search filters.
• Centralized logging through Firebase and wrote BigQuery monitoring to compare with SQL data for integrity and usage.

• Built API and scripts to generate embeddings of knowledge base - txt, pdf, ppt, docx - common questions, and user prompts.
• Built Docker orchestration of 6 containers to run in dev, cloud and onprem environments including behind airgapped SCIF networks.

• Designed advanced penetration tests in order to generate training data and formulate IoC Patterns based on signatures seen in logs.
• Forked OpenCTI as interface to control ingestion, triage alerts and fine tune inference engine analysis.
• Wrote Ingestion system to run log / email imports at any interval with encryption in transit and at rest, supporting configs for data retention and shareability policies.
• Implemented deduplication and aggregation of Email data by maintaining checksum IDs on EML parts and its whole.
• Built Puppeteer crawler to ingest client websites and learn URL patterns & HTML semantics for additional training data and monitoring standards.
• Drafted all system Data Flow Diagrams for both architectural documentation and patent application.
• Wrote Docker containers and CI/CD pipeline from GitHub Actions to GCP.

AI Annotation Interface & APIs

• Created custom Node-Red modules for configuring cameras and communication with on-prem tools and cloud APIs.
• Implemented API for motion detection using Structural Similarity, to expose 19 OpenCV filter options to training interface, to manage photo training data and find tagging anomalies.
• Built entire front-end annotation tool with zooming, version controls, infinite class nesting.

Workstation Guidance

• Developed workstation guidance system for factories to configure assembly instructions with QA and computer vision assistance, dockerized to deploy across a local network of factory computers.
• Built bi-directional persistent secure WebSocket connection for constant communication with Node-Red service and FlexibleVision as a whole.

• Scripted OpenAI agent to recommend database schema for any idea, return both reasoning and a structured JSON output.
• Wrote utilities to parse Types spreadsheet and auto-generate React forms, Django app, fake data generator, Cypress.io tests, Swagger documentation and centralized data definitions to follow.
• Wrote tools to parse RBAC permissions matrix spreadsheet and produce strict TypeScript definitions and access control functions and Cypress.io tests.
• Wrote gcloud build scripts to stand up complete GCP environments based on shared .env variables.

• Annotated dataset and trained YOLOv4 model for detecting 6 classes across different sports.
• Designed all business logic for tracking the clip's subject, athlete, and ball.
• Wrote video annotation tool for ongoing additions to dataset.
• Built video effect automation with ffmpeg and scikit using YOLO and DeepSort.
• Streamlined complete deployment pipeline with Bash and gcloud to GCP.
• Extended Track Authority Music platform and API to connect all rating and reward services.

• Wrote Django API, CMS, and CD pipeline to GCP
• Built GCP server with load balancers for API on Cloud Run with Cloud SQL, and for the web app in a HTTPS Cloud Bucket
• Integrated various social APIs using OAuth2 for authentication and syncing music playlists

• Supported the Presideo Creative agency to complete their product recommendation engine.
• Built tool to test performance and recommendations of different use cases, comparing OpenAI models and methods - embeddings, Completions, and Assistants - preserving responses back to prompts and configs for fine-tuning.
• Created front-end visualization table to filter, sort, compare, and annotate results.
• Wrote python scripts to pre-generate embeddings from internal product lists

• Wrote importer of amazon products available as addons
• Wrote runtime Price and Volume calculator to ensure users can get the most out of their box.
• Wrote business rules into data schema and API calculators to offer shipping times for fresh flowers and perishable addons
• Built die-box template calculator to measure box volumes based on selected materials, shapes, and necessary seam & fold thickness