Overview

Industry Resume
Academic CV
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Professional Experience

Senior Software Engineer
Goodway GroupData Science, Scaled Media Solutions
2021 — Present

Architect and deliver AI-driven and distributed systems powering GOES™ and Goodlook™, improving RealValue™ (40M+ daily decisions) reliability by 90%.

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  • Re-architected validation and error handling for RealValue™, reducing production errors by 90% at 40M+ daily-decision scale
  • Built microservices and REST/GraphQL APIs across 5+ external platforms (TTD, Google Ads, Meta, YouGov), unifying data pipelines for production analytics
  • Designed event-driven AWS systems (Lambda, SNS, SQS, S3), replacing manual workflows with fully asynchronous, real-time processing
  • Shipped full-stack applications across GOES™ and Goodlook™ with Next.js, React, and TypeScript on Node.js, GraphQL, PostgreSQL, and Redis backends
  • Implemented AI-driven analytics in GOES™, including RAG, NLQ, and agentic pipelines (Brand Compass) on Snowflake Cortex, LangChain, CrewAI, and vector stores, streaming real-time insights to production
Senior Technical Operations Engineer
Goodway GroupBusiness Intelligence
2018 — 2021

Owned reliability and data integrity of marketing analytics systems under strict daily SLA requirements.

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  • Managed end-to-end data infrastructure (Airflow, Redshift, S3, Tableau), ensuring consistent data freshness and reporting accuracy
  • Led org-wide incident response and root-cause analysis across pipelines, reducing recurring data issues through monitoring and preventative fixes
  • Established data validation and postmortem processes, improving system stability and cross-team trust in analytics outputs
Principal Campaign Operations Engineer
Goodway GroupMulti-Location, Chevrolet
2014 — 2018

Built COLT™, reducing campaign production time by ~80% (10-12 days → ~2 days).

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  • Developed a full-stack Node.js application automating Adobe InDesign campaign generation through template parameterization of ad copy and legal logic
  • Enabled scalable execution for automotive clients by automating creative production workflows end-to-end
  • Managed execution, QA, and performance optimization of programmatic campaigns across TTD, Google Ads, YouTube, and Meta
Senior SEO Strategist
IONOS (1&1 Internet)
2012 — 2014

Drove SEO/SEM growth for 300+ small business websites across US, UK, and Canadian markets.

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  • Led SEO/SEM strategy across keyword research, metatag optimization, and on-page experimentation
  • Improved organic visibility and traffic through A/B testing of copy and creative, plus user engagement analysis (CTR, time-on-page)
  • Analyzed performance and search trends across US, UK, and Canadian markets using Google Analytics and SEMrush

Technical Systems & Capabilities

  • AI & LLM Systems

    Python LLM Reasoning RAG Agentic Workflows Prompt Engineering CoT ReAct Few-Shot LangChain LangGraph CrewAI OpenAI AWS Bedrock Snowflake Cortex Vercel AI SDK Qdrant ChromaDB Langfuse

    Backend & APIs

    Node.js Python TypeScript Hapi.js FastAPI Apollo GraphQL Apollo Federation tRPC REST WebSockets Microservices PostgreSQL Redis Drizzle ORM Sequelize Knex

    Distributed Systems & Infrastructure

    AWS Lambda SQS (FIFO) SNS S3 AWS CDK Serverless Event-Driven Async Pipelines BullMQ Datadog Rollbar OpenTelemetry Pino

    Data & Analytics Engineering

    SQL Data Modeling ETL/ELT Statistical Signals Airflow AWS MWAA Argo Workflows Adverity Redshift Snowflake S3 Pandas

    Tools & Platforms

    Git Docker Kubernetes GitHub Actions CircleCI Helm Sigma HighCharts TTD Google Ads Meta YouTube

    Experimentation & Optimization

    A/B Testing Performance Analysis CTR/VCR Optimization Campaign Analytics Decision Systems

Academic Experience

  • 2018 — 2024
    PhD Researcher & Instructor
    University of Delaware
    • Led research on conversational agents and LLM-guided reasoning in computer science education, designing and evaluating systems that guide user reasoning through structured prompt engineering (RAG, CoT, few-shot) to develop AI learning systems that promote reasoning rather than direct answer generation, resulting in peer-reviewed publications at ICSE and ITiCSE
    • Designed and implemented AI-based learning systems focused on Socratic reasoning support rather than direct answer generation
    • Taught undergraduate computer science courses (programming, data structures, ethics), emphasizing debugging, system thinking, and applied problem-solving
  • 2016 — 2017
    Graduate Assistant & Researcher
    West Chester University of Pennsylvania
    • Developed a computer vision system for parking availability detection in university lots using Python and OpenCV, applying object detection and identity matching to live video analysis

Education

  • 2024
    Ph.D., Computer and Information Sciences
    University of Delaware
    • Advised by Lori Pollock
    • Research in conversational agents, applied AI
  • 2017
    M.Sc., Computer Science (Cum Laude)
    West Chester University of Pennsylvania
  • 2010
    B.Sc., Marketing
    West Chester University of Pennsylvania

Research Experience

  • 2018 — 2024
    Ph.D. Researcher
    University of Delaware
    • Conducted research on conversational agents and LLM-guided reasoning in computer science education, developing interaction frameworks that guide user reasoning through structured dialogue (RAG, CoT, few-shot), resulting in peer-reviewed publications at ICSE and ITiCSE
    • Designed and implemented AI-based learning systems emphasizing Socratic reasoning and guided problem-solving over direct answer generation, contributing to emerging paradigms in AI-assisted education
    • Formalized principles of structured prompting and interaction design, improving student reasoning outcomes and bridging machine learning with educational theory
  • 2016 — 2017
    Graduate Assistant & Researcher
    West Chester University of Pennsylvania
    • Developed a computer vision system for parking availability detection using Python and OpenCV, applying image processing techniques to real-world sensing problems

Education

  • 2024
    Ph.D., Computer and Information Sciences
    University of Delaware
    • Advised by Lori Pollock
    • Research focus: conversational agents, LLM-guided reasoning, and AI-supported learning systems in computer science education
    • Methods: Mixed-methods research, empirical evaluation, survey design (Qualtrics), qualitative analysis, experimental design, usability testing, and user interviews
  • 2017
    M.Sc., Computer Science (Cum Laude)
    West Chester University of Pennsylvania
  • 2010
    B.Sc., Marketing
    West Chester University of Pennsylvania

Teaching Experience

  • 2018 — 2024
    Instructor / Teaching Assistant
    University of Delaware
    • Taught undergraduate courses (introductory programming, early-stage data structures, and computing ethics), emphasizing debugging, system thinking, and applied problem-solving
    • Designed course materials and assignments focused on structured reasoning and algorithmic thinking
    • Mentored students in developing independent problem-solving skills beyond rote memorization

Professional Experience

Senior Software Engineer
Goodway GroupData Science, Scaled Media Solutions
2021 — Present

Architect and develop AI-driven reasoning and distributed analytics systems within GOES™ and Goodlook™, improving RealValue™ (40M+ daily decisions) reliability by 90%.

Show details Hide details
  • Re-architected validation and error handling for RealValue™, reducing production errors by 90% at 40M+ daily-decision scale
  • Designed distributed ETL pipelines (Airflow, MWAA, Argo, Redshift, Snowflake, S3) and integrations across 5+ external platforms (TTD, Google Ads, Meta, YouGov, Bing), enabling large-scale, multi-source analytics
  • Built event-driven AWS systems (Lambda, SNS, SQS FIFO, S3), replacing notebook-based processes with asynchronous, production-grade pipelines
  • Formalized campaign data as structured signals (SQL fact tables, benchmark thresholds, tradeoff logic) within GOES™, enabling LLM-based reasoning and insight generation
  • Developed LLM-powered reasoning systems (Brand Compass), including RAG pipelines and hierarchical insight generation, through structured prompt engineering (CoT, ReAct, few-shot) and agentic workflows (CrewAI, LangChain, Langfuse)
Senior Technical Operations Engineer
Goodway GroupBusiness Intelligence
2018 — 2021

Owned reliability and integrity of analytics infrastructure supporting production reporting systems under strict daily data freshness SLAs.

Show details Hide details
  • Managed end-to-end analytics infrastructure (Airflow, Redshift, S3, Tableau), ensuring data freshness and reporting accuracy across production systems
  • Led organization-wide incident response, root-cause analysis, and postmortem processes, reducing recurring pipeline failures through preventative monitoring
  • Established data validation and observability practices, improving system stability and cross-team trust in analytical outputs
Principal Campaign Operations Engineer
Goodway GroupMulti-Location, Chevrolet
2014 — 2018

Built COLT, a campaign-production automation system reducing creative turnaround by ~80% (10-12 days to ~2 days).

Show details Hide details
  • Developed a full-stack Node.js application that parameterized Adobe InDesign templates, automating ad copy and legal-logic workflows for campaign production
  • Enabled scalable execution for automotive clients by automating creative production end-to-end
  • Managed execution, QA, and reporting of large-scale programmatic campaigns across TTD, Google Ads, YouTube, and Meta
Senior SEO Strategist
IONOS (1&1 Internet)
2012 — 2014

Led SEO/SEM strategy for 300+ websites across US, UK, and Canadian markets.

Show details Hide details
  • Designed SEO/SEM strategies grounded in keyword analysis, on-page experimentation, and metatag optimization
  • Improved organic visibility and traffic through A/B testing of copy and creative, plus user behavior analytics (CTR, engagement)
  • Analyzed performance and search trends across US, UK, and Canadian markets using Google Analytics and SEMrush

Technical Systems & Capabilities

  • AI & ML Systems

    Python LLM Reasoning Conversational Agents RAG Prompt Engineering CoT ReAct Few-Shot Learning Agentic Workflows LangChain CrewAI Vector Databases Langfuse Evaluation Frameworks

    Backend & APIs

    Python Node.js FastAPI Hapi.js REST GraphQL Apollo Federation Microservices PostgreSQL Redis

    Data & Analytics Engineering

    SQL Data Modeling ETL Pipelines Statistical Signals Airflow AWS MWAA Argo Workflows Redshift Snowflake S3

    Tools & Platforms

    Git Docker Kubernetes GitHub Actions Sigma HighCharts Tableau TTD Google Ads Meta

    Distributed Systems & Infrastructure

    AWS Lambda SQS SNS S3 Event-Driven Async Pipelines High-Throughput Processing Datadog Rollbar

    Evaluation & Experimentation

    Mixed-Methods Research Empirical Evaluation Survey Design (Qualtrics) Qualitative Analysis Usability Testing User Interviews A/B Testing Performance Analysis
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