David K

Senior AI/ML Engineer

Aledade, Inc.

Oct 2024 - Current (2 years)

Point of Care AI. Staff-scope ownership across ML platform infrastructure, security, and observability for healthcare AI products handling PHI. Platform & infrastructure
• Architected and deployed self-hosted labeling platform on isolated AWS (EKS, DocumentDB, S3, OIDC, Zscaler/VPC peering for Databricks integration) to replace third-party SaaS for PHI-compliant clinical data extraction workflows. Owned end-to-end from initial install to production: helm upgrades, serviceAccount hardening for direct S3 uploads, OAuth/OIDC, ingress, Datadog observability, runbooks.
• Modernized AI platform model connectivity: migrated Gemini to Vertex AI service accounts, integrated Amazon Nova via Bedrock, extended LiteLLM with custom URLs and mod

Machine Learning Engineer

Arena Club

Apr 2024 - May 2024 (2 months)

• Reduced manual review of surface grading tasks by deploying new ensemble model with >90% generalized prediction accuracy for card surface condition inference on fastAPI endpoint - prior implementation suffered from

T

Individual Contributor

Tensorflow

Aug 2022 - Mar 2023 (8 months)

• Contributed preprocessing module to TensorFlow.js. Layers include center-crop, category encoding, rescaling, and resizing layers.
• Contributed bicubic interpolation backend for TensorFlow.js. Standardized API to conform to Python-Keras implementation of TensorFlow, improving interoperability between the Python & JavaScript versions of TensorFlow. PR merged into the main tfjs repository.
• Directed implementation of BaseRandomLayer, and the derived RandomWidth and RandomHeight preprocessing layers.

M

Machine Learning Engineer

Jun 2022 - Jun 2023 (1 year 1 month)

• Predicted user-to-customer conversion likelihood based on demographic and platform usage data with a gradient-boosted classification model.
• Aggregated and centralized data from HubSpot CRM and platform usage metrics pipelined to Preset SQL database.
• Automated scheduled data fetch and centralized data using Cron with Selenium and Beautiful Soup-based web scraping data pipeline
• Created machine learning instructions, code documentation, and pytest-based unit tests for technical audiences within the organization.
• Improved internal workflows and materials, including presentation slides, for non-technical audiences within the organization.

S

Software Engineer

Spearmint

Jan 2022 - Jun 2022 (6 months)

• Applied Jest and Supertest to programmatically generate and run syntactically sensible unit and integration tests for imported codebases
• Used Electron.js to serve the Spearmint application in a single-window Chromium app independently from the local browser and OS while allowing the Node.js application to access system files and resources, enabling the execution of exported test files within an included terminal
• Utilized React’s Context API and hooks to modularize application state management and avoid global state pollution
• Migrated existing codebase to TypeScript for stronger typing to enforce stricter data contracts
• Built-in Google and Facebook OAuth as authentication alternatives, integrated bcrypt at login

Questboard

Open Source

Jan 2022 - Jun 2022 (6 months)

• Used React and Redux to create a stateful and responsive frontend for a Kanban-style task assignment board in which users can create or take on requests
• Utilized React-Router Hooks for seamless and programmatic redirects between pages on user interaction with rendered elements

Weather Watchers

Open Source

Jan 2022 - Jun 2022 (6 months)

• Fetched weather and air quality data through the weather API to create a no-code system for users to define rules and triggers for alerts based on weather and pollution values
• Utilized PostgreSQL backend to store rulesets and user information with bcrypt encryption in an ACID compliant and secure fashion
• Implemented session cookies stored on clients for durable login sessions, allowing persistent logged-in state across discontinuous visits

D

Data Scientist

DECOY INTERNATIONAL INC

Jan 2021 - Jan 2022 (1 year 1 month)

• First data scientist at an ecommerce wholesale apparel company with annual revenue of ~$10M.
• Centralized and automated sales and production data scraping using Selenium, bypassing authentication with headless browser to automatically refresh data
• Developed regression model on one-hot encoded products & orders data to highlight SKUs where demand surpassed current inventory
• Displayed statistics and predictions using Microsoft Power BI for streamlined data pipelining and user-interactive charting
• Incorporated RESTful UPS shipping API to ERP system, automating shipping label generation & printing from invoiced items' weights in database
• Significantly reduced warehouse item retrieval time by deploying a custo

V

Application Developer

VISION 13

Sep 2020 - Dec 2020 (4 months)

• Integrated Huobi, Binance, BitForex, ZG.com RESTful APIs into Swift application to include broader market and wallet support
• Refactored Java Android version of application into Swift for iOS release
• Worked within a team in an Agile Scrum environment, taking advantage of planned sprints to meet delivery deadlines

C

Research Intern

Center for Engineered Natural Intelligence, University of California San Diego

Oct 2018 - Jul 2019 (10 months)

• Applied word2vec algorithm on a record of signaling events to determine when dynamics of the neural network have entered steady state as part of neuromorphic computing research
• Synthesized a literature review paper on organic sensory neural circuits of various animals and using that data to define a layer-wise sensory convergence ratio

N

Research Assistant

Noise Lab

Mar 2018 - Sep 2018 (7 months)

• Experimented with multiple different data filtering and processing treatments for undersea pressure sensory data to train a deep learning network trained to determine ship locations from engine noise in environments with high noise and low signal-to-noise ratios.
• Presented the results of training the multilayer perceptron model on PCA-applied data, which could accurately predict ship location by sound in an environment with signal-to-noise ratio as low as -10.
• Research funded by grants awarded by the United States Navy.

K

Web Developer

K&P Trading, Inc

Jun 2017 - Mar 2018 (10 months)

• Utilized A/B testing for accessible UI/UX web design centered on main site and web store platform for wholesale clothing label to create a front-end which generated improved clickthrough and conversion rates
• AWS EC2 web deployment utilizing automated containerization and version control through Dockerized containers on ECR, SQL backend on RDS
• Filed company trademark with USPTO

Student Intern

UCLA

Dec 2013 - Jun 2015 (1 year 7 months)

• Built sensors and programmed data-taking & imaging steps in MATLAB for plasma generator machines used for studying acoustic/whistler waves.

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David K

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