• 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.

• Developed real-time canvasser tracking interface with MapBox and ReactJS, synchronizing map pins/popups and sidebar elements for seamless navigation. Programmed filter operations to recenter map boundaries with dynamic debounce based on filter in use. Built map to render any combination of layers including points for canvassers, lines for routes, and polygons for coverage area.
• Enhanced SASS implementation with mixins and reusable style patterns. Created modular components styled from a single classname styling, as well as composable utility classes to normalize spacing and typography while maintaining DRY principles and reducing CSS bloat.
• Restructured Redux implementation to flattening deeply nested data structures, enabling targeted updates and reducing component render cycles across decoupled components.
• Wrote responsive Data Grid component to render tables using Flexbox with hooks to customize any header or body cell's styles and click / hover events. Supported both client or server side sorting, pagination, and toggling visibility of any column. Wrote NodeJS script to preprocess API response schemas to ease client side table and list displays with custom property names and easier data aggregations baesd on data types (numeric, dates, enums).

• Built offline-first iOS and Android apps for 1200 canvassers nationwide to run Site and Door to Door campaigns following scripted intake forms.
• Shipped a C++ OpenCV native module (iOS + Android) that registers camera photos to the form, redacts PII fields, validates required signatures via ink detection based on pre-trained differentiation threshold - all before upload, entirely clientside, offline.
• Built components for background audio recording, live voter lookup registration, QR / barcode / document scanning, signatures and more.
• Battery / Memory Optimization: tuned background location tracking around device speed / distance, improved Redux state management to reduce render cycles, merged dependencies to reduce APK size by 67%

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.

• 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.

• Led team of 3 - UX designer, data scientist and data entry / annotators.
• Designed and developed entire responsive React webapp for PickupMVP.com
• Leveraged Flutter inappwebview with addJavaScriptHandler to provide native functionality like DeepLinks, Push Notifications, and connect to other installed applications for authentication.
• Optimized Redux to share context across decoupled components with minimal redraws

• 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 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