Available for Principal AI / ML roles

Hi, I'm David Wise

Principal AI Engineer

Senior Principal AI Engineer with 10+ years shipping production machine learning, deep learning, and computer vision systems for dynamic pricing, demand forecasting, and competitive price intelligence — plus LLM automation with OpenAI, Claude, and DeepSeek.

david.wise1027@outlook.com +1 (516) 646-7033
// Principal AI Engineer
const david = {
  role: "Principal AI Engineer",
  stack: ["PyTorch", "TensorFlow", "CV"],
  ml: ["Demand Models", "Elasticity", "Optimization"],
  deepLearning: ["LSTM", "Transformers", "CNNs"],
  vision: ["YOLO", "OCR", "Shelf AI"],
  optimize: () => "revenue + margin"
};
22%Pricing Lift
10+Years Engineering
Hands-On in My Career

AI Tools I've Used Professionally

Platforms I've applied on real projects: LLM APIs, workflow automation, and integrations that shipped in production across my 10+ years of engineering work.

Multi-Model LLMs

OpenAI, Claude, DeepSeek, and Gemini routing for cost, latency, and task-specific quality.

RAG & Knowledge

Embeddings, vector search, and document pipelines for accurate enterprise Q&A.

AI Agents

Tool-calling agents that plan, execute API steps, and automate multi-step data tasks.

n8n Workflows

Visual automation for ETL triggers, alerts, CRM sync, and cross-system orchestration.

Zapier & Make

Fast no-code integrations between SaaS tools, spreadsheets, and internal APIs.

Monday.com Ops

Project boards, status automation, and team workflows connected to data pipelines.

Prompt Engineering

Structured prompts, evals, guardrails, and production prompt versioning.

Secure Automation

Secrets management, scoped API keys, audit logs, and compliant data handling.

10+

Years Engineering

22%

Pricing Revenue Lift

35%

Demand Forecast Gain

94%

CV Price-Tag Accuracy

About Me

Building Pricing Intelligence Systems

Principal AI engineer focused on machine learning, deep learning, and computer vision that turn market signals into profitable price decisions.

Senior Principal AI Engineer with 10+ years building production machine learning, deep learning, and computer vision systems for dynamic pricing, demand forecasting, price elasticity, and competitive intelligence. I design end-to-end models — from feature pipelines to real-time scoring APIs — that balance revenue, margin, and conversion.

Hands-on with PyTorch, TensorFlow, CNNs/YOLO for shelf and price-tag vision, LSTM and transformer demand models, and optimization layers for recommended prices. I also wire LLM tooling (OpenAI, Claude, DeepSeek) into pricing ops workflows with n8n, Zapier, and Monday.com.

Pricing AI

Dynamic pricing, elasticity, optimization

Machine Learning

Demand, uplift, A/B price tests

Deep Learning

PyTorch, TensorFlow, LSTM, Transformers

Computer Vision

YOLO, OCR, shelf & price-tag AI

Data Engineering

Spark, Airflow, feature stores

MLOps

Vertex AI, monitoring, CI/CD

What I Do

Core Expertise

Production Pricing AI — machine learning, deep learning, and computer vision from research to real-time price decisions.

Pricing AI Systems

Dynamic pricing engines, price elasticity models, competitive matching, and margin-aware optimization that recommend or auto-set prices across SKUs and channels.

Machine Learning

Demand forecasting, uplift modeling, propensity-to-buy, and A/B price experimentation with Scikit-learn, XGBoost, and production feature pipelines.

Deep Learning

PyTorch and TensorFlow models — LSTMs and transformers for demand sequences, neural nets for multi-factor pricing, and embedding models for product similarity.

Computer Vision

YOLO detection, CNN classifiers, and OCR pipelines for shelf monitoring, product recognition, and competitor price-tag capture feeding pricing intelligence.

Data Pipelines & MLOps

Spark/Airflow feature stores, Vertex AI training & serving, drift monitoring, and CI/CD so pricing models stay accurate in production.

Technical Leadership

Leading ML/pricing squads, mentoring scientists and engineers, and aligning pricing strategy with product, finance, and ops stakeholders.

Career

Professional Experience

A concise overview of each role and the technical value I delivered.

Senior Software Engineer

Particle Health · Contract

Remote

Dec 2024 – Present Current
Healthcare Data APIs ML / NLP Insights Production Scale

Building production services on Particle’s healthcare data platform — unifying longitudinal medical records via FHIR/API pipelines, and shipping machine learning and NLP features that turn raw clinical documents into actionable insights for payers and digital health customers.

Own end-to-end delivery across data transformation, model-assisted summarization, and high-reliability APIs — with strong focus on privacy, interoperability, and observable production systems.

Senior Software Engineer

Tability · Full-time

Remote

Sep 2020 – Nov 2024
+22% Pricing Lift Deep Learning 4 yrs 3 mos

Led Pricing AI and product engineering on Tability’s OKR platform — shipping dynamic pricing, demand forecasting, and deep learning models (PyTorch / TensorFlow) that improved monetization and forecast accuracy for subscription and expansion pricing.

Built feature pipelines, experimentation frameworks, and real-time recommendation APIs; mentored engineers and partnered with product/finance on elasticity-aware price decisions.

Software Engineer

MANTL · Full-time

Hybrid

Feb 2017 – Sep 2020
Fintech Platforms ML Scoring 3 yrs 8 mos

Engineered banking and account-opening platforms at MANTL — full-stack services, data pipelines, and machine learning scoring for risk, conversion, and pricing-adjacent decisions across digital banking workflows.

Delivered APIs, microservices, and analytics used by financial institutions; improved reliability and throughput while collaborating closely with product and compliance stakeholders.

Software Developer

Credera · Full-time

Hybrid

Sep 2015 – Jan 2017
Consulting Full Stack 1 yr 5 mos

Delivered client software engagements at Credera — building web applications, APIs, and data solutions across industries with a focus on clean architecture, agile delivery, and measurable business outcomes.

Established strong foundations in system design, stakeholder communication, and shipping production software under real client constraints.

Portfolio

Projects & Builds

Enterprise Pricing AI initiatives across machine learning, deep learning, computer vision, and production MLOps — aligned with real pricing systems work.

60% Automation
Flagship · AI + Data

AI-Powered Data Processing & Automation Platform

  • Automated validation & transformation for multi-TB structured datasets across enterprise insurance systems.
  • Delivered internal APIs reducing manual data ops overhead by 60% with Python, SQL, and workflow orchestration.
  • Established schema standards and integration patterns adopted by 3 engineering squads.
PythonSQLREST APIsETLAutomation
+15% Decision Speed
Flagship · Analytics

Enterprise Analytics & Intelligent Data Workflow System

  • Built scalable BI backend services powering executive dashboards and operational reporting pipelines.
  • Modernized legacy data flows and improved observability, query performance, and system uptime to 99.9%.
  • Accelerated stakeholder decision-making by 15% through actionable insight delivery.
Apache SparkPostgreSQLMicroservicesAI Tooling
+22% Revenue
Pricing AI · ML

Dynamic Pricing & Elasticity Engine

  • Built ML pricing models estimating demand elasticity and recommending optimal prices by SKU, channel, and segment.
  • Delivered 22% revenue lift and stronger margin protection via constrained price optimization.
  • Ran controlled A/B price tests with online scoring APIs and guardrails for floor/ceiling prices.
Pricing AIXGBoostPythonOptimization
+35% Accuracy
Deep Learning · Demand

Deep Learning Demand Forecasting

  • Trained LSTM and transformer models in PyTorch/TensorFlow for multi-horizon demand used by pricing decisions.
  • Achieved 35% accuracy improvement vs. legacy statistical baselines used by finance and pricing teams.
  • Deployed reproducible training pipelines with validation gates, model versioning, and drift alerts.
PyTorchTensorFlowLSTMTransformers
94% Accuracy
Computer Vision · Pricing

Competitive Price Vision & OCR Pipeline

  • Built YOLO + CNN detection and OCR to extract competitor shelf prices and product identities from store imagery.
  • Reached 94% price-tag accuracy and fed structured competitive signals into the pricing engine daily.
  • Automated image ingestion, labeling workflows, and model retraining when new packaging or tag formats appeared.
Computer VisionYOLOOCROpenCV
25% Faster
Data Engineering

Pricing Feature Store & ETL

  • Architected Spark jobs for price history, promotions, inventory, and competitor features used by ML models.
  • Cut end-to-end pipeline runtime by 25% through partitioning and query optimization.
  • Integrated Airflow scheduling with failure alerts and automatic retry logic for production reliability.
Apache SparkAirflowFeature StoreETL
+40% Dev Velocity
AI Full Stack

LLM Developer Productivity Copilot

  • Built AI-assisted internal tooling from innovation sprint with LLM workflows for code review and pipeline debugging.
  • Reduced average developer troubleshooting time by 40% across backend teams.
  • Implemented prompt engineering templates and guardrails for enterprise security compliance.
LLM WorkflowsPrompt EngineeringPythonREST APIs
10M+ API Calls/mo
Full Stack · Pricing

Real-Time Pricing Decision API

  • Developed high-volume REST microservices serving ML price recommendations for catalog and checkout flows.
  • Scaled platform to 10M+ monthly API calls with caching, rate limiting, and horizontal autoscaling.
  • Applied TDD and CI/CD pipelines achieving 95%+ test coverage on critical pricing services.
JavaPythonREST APIsPostgreSQLCI/CD
+30% ROI
Healthcare · AI

Healthcare Predictive Analytics Suite

  • Developed predictive models with R and Scikit-learn optimizing resource allocation strategies.
  • Delivered 30% ROI improvement on analyzed investment and operational workflows.
  • Partnered with data engineers to increase batch processing throughput by 40%.
RScikit-learnSQLHealthcare Data
45% Cost Savings
Cloud · GCP

GCP BigQuery Data Warehouse Migration

  • Migrated on-prem analytics workloads to BigQuery with partitioned tables and optimized schemas.
  • Reduced ad-hoc query costs by 45% while improving average report generation speed 3×.
  • Integrated Vertex AI endpoints for model scoring directly within warehouse SQL workflows.
GCPBigQueryVertex AIData Warehousing
99.8% Data Integrity
Data Quality

Automated Data Validation & Quality Framework

  • Built TDD-driven validation suite catching schema drift, null anomalies, and referential integrity breaks.
  • Achieved 99.8% data integrity across production ingestion pipelines post-deployment.
  • Reduced incident-related data rollbacks by 70% within the first quarter of adoption.
TDDPythonData ValidationAutomation
50% Leaner Stack
Modernization

Legacy Backend Modernization Initiative

  • Led large-scale codebase analysis and phased migration from monolith services to modular microservices.
  • Cut critical-path technical debt by 50% and improved deployment frequency from monthly to weekly.
  • Documented architecture decision records (ADRs) used as team onboarding standards.
JavaMicroservicesSystem ArchitectureGit
200+ Jobs/Day
Orchestration

Airflow Pipeline Orchestration Hub

  • Centralized 200+ daily ETL jobs with dependency mapping, SLA monitoring, and alerting dashboards.
  • Eliminated 90% of manual job restarts through intelligent retry and backfill automation.
  • Enabled cross-team visibility into pipeline health for data ops and engineering leadership.
AirflowPythonData PipelinesDocker
5× Faster Deploys
MLOps · GCP

Vertex AI Pricing Model MLOps

  • Automated training, evaluation, and deployment of pricing and demand models to Vertex AI with CI/CD.
  • Reduced model release cycle from days to hours, with 80% faster production deployments.
  • Implemented monitoring for prediction drift, latency SLAs, and automated rollback on bad price recommendations.
Vertex AIGCPMLOpsCI/CD
Sub-100ms Latency
Distributed Systems

Event-Driven Microservices Mesh

  • Designed event-driven architecture decoupling billing, policy, and notification domains.
  • Achieved sub-100ms p95 latency on core read paths with async message processing.
  • Improved fault isolation so single-service failures no longer caused cascading outages.
Event-DrivenJavaJavaScriptDocker
+18% Revenue
Analytics · BI

Operations Intelligence Dashboard

  • Built SQL + Tableau analytics layer surfacing occupancy, revenue, and cost trends for leadership.
  • Drove data-backed strategies contributing to 18% revenue growth and 12% cost reduction.
  • Automated weekly reporting and saved 20+ hours/month of manual spreadsheet work.
SQLTableauData ModelingPower BI
+40% Team Competency
Enablement

Data Visualization & Reporting Academy

  • Facilitated Power BI workshops and self-serve reporting standards for cross-functional teams.
  • Raised organization-wide data literacy and tool competency by 40% within two quarters.
  • Published reusable dashboard templates adopted by finance, ops, and engineering stakeholders.
Power BISQLTechnical LeadershipMentoring
Hall of Fame

Career Achievements

Measurable wins across Pricing AI, machine learning, deep learning, computer vision, and production delivery.

Pricing Revenue Lift

+22%

Dynamic pricing and elasticity models that increased revenue while protecting margin floors.

Demand Forecast Leader

+35%

Deep learning demand models (LSTM / transformers) that outperformed legacy statistical baselines.

CV Price Intelligence

94%

YOLO + OCR pipeline extracting competitor shelf prices for daily pricing decisions.

Spark Feature Pipelines

25% Faster

Accelerated pricing feature computation through distributed pipeline redesign.

ML / Pricing Lead

+20%

Boosted squad delivery through architecture leadership across ML, CV, and pricing APIs.

Mentorship Excellence

2× Faster

Halved junior ML engineer onboarding via structured mentoring on pricing systems.

Decision Intelligence

+15%

Faster pricing and finance decisions with automated model insight delivery.

Healthcare Analytics ROI

+30%

Predictive ML improving ROI using R, Scikit-learn, and scalable data infrastructure.

Data Throughput Gain

+40%

Increased data processing speed collaborating with data engineers on platform work.

Revenue Intelligence

+18%

SQL & Tableau insights drove strategies that significantly increased operational revenue.

Cost Optimization

12% Savings

Financial trend analysis lowered operational costs through data-driven planning.

Automation Champion

2× Throughput

Automated data collection workflows that doubled processing speed across ops teams.

Innovation Sprint Winner

3×

Shipped AI-assisted pricing tooling with 3× faster prototype-to-production cycles.

Technical Speaker

5+

Presented Pricing AI, deep learning, and MLOps practices at internal conferences.

End-to-End Pricing AI

10+ yrs

Ownership from CV/ML research through APIs, feature stores, and cloud model serving.

Quality Engineering

99.8%

TDD and automated validation ensuring integrity of pricing and training datasets.

Stack

Technical Skills

Pricing AI stack: machine learning, deep learning, computer vision, data platforms, and MLOps.

Languages & Development
PythonJavaJavaScriptSQLREST APIs Backend DevelopmentFull-Stack DevelopmentR
Pricing AI · ML · DL · CV
Dynamic PricingPrice ElasticityDemand Forecasting Machine LearningDeep LearningComputer Vision PyTorchTensorFlowXGBoostScikit-learnLSTMTransformers YOLOOpenCVOCRCNNsA/B TestingPrice Optimization
Data & MLOps
Data EngineeringETL PipelinesFeature StoresData Warehousing Apache SparkAirflowMLOpsModel Monitoring AI/ML IntegrationLLM WorkflowsRAGAI Agents
AI & Automation Tools
OpenAIClaude AIDeepSeek n8nZapierMonday.com LangChainHugging FaceGeminiGitHub Copilot Make.comWorkflow AutomationAPI IntegrationsVector Search
Cloud & Infrastructure
AWSGCPBigQueryVertex AIAzure Cloud ComputingDockerCI/CDMicroservices Distributed SystemsEvent-Driven Architecture
Databases & APIs
PostgreSQLMySQLAPI IntegrationBackend APIs Data ProcessingData Validation
Architecture & Practices
System ArchitectureScalable SystemsPerformance Tuning System OptimizationLegacy System ModernizationAutomation TDDAgile DevelopmentGit Technical LeadershipMentoringProblem Solving Software Engineering
Let's Connect

Ready to Build at Scale

Seeking Principal AI Engineer and ML / Deep Learning roles focused on dynamic pricing, demand forecasting, computer vision for competitive intelligence, and production MLOps.