Overview

Industry Resume
Academic CV
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Professional Experience

  • 2021 — Present
    Senior Software Engineer (Data Science, Scaled Media Solutions)
    Goodway Group
    • Improved stability of RealValue™ (40M+ daily decisions) by re-architecting validation and error handling, reducing production errors by 90%
    • Designed and deployed distributed data pipelines and ETL systems (Airflow, MWAA, Argo, Redshift, Snowflake, S3) supporting large-scale marketing analytics and multi-source data ingestion
    • Architected integrations across 5+ external platforms (TTD, Google Ads, Meta, YouGov, Bing), enabling unified data processing and cross-platform analytics
    • Built event-driven systems (AWS Lambda, SNS, SQS FIFO, S3) to automate analytics workflows, replacing manual notebook-based processes with asynchronous, production-grade pipelines
    • Architected AI-driven analytics capabilities within the GOES™ platform, transforming campaign data into structured signals (SQL fact tables, benchmark thresholds, tradeoff logic) to enable LLM-based reasoning and insight generation
    • Developed LLM-powered systems including RAG pipelines, streaming API integrations, and hierarchical insight generation (Brand Compass) using structured prompt engineering (CoT, ReAct, few-shot) and agentic workflows (CrewAI, LangChain, vector stores, Langfuse)
    • Operated across backend, data, and AI system layers, bridging infrastructure, analytics, and LLM-driven reasoning in production environments
  • 2018 — 2021
    Senior Technical Operations Engineer (Business Intelligence)
    Goodway Group
    • Owned reliability, integrity, and availability of analytics infrastructure (Airflow, Redshift, S3, Tableau) supporting production reporting systems under strict data freshness SLAs
    • Led organization-wide incident response, root cause analysis, and postmortem processes, implementing preventative monitoring and reducing recurring data pipeline failures
  • 2014 — 2018
    Principal Campaign Operations Engineer
    Goodway Group
    • Built COLT, a web-based automation system for campaign production, reducing creative turnaround time by ~80% (10-12 days to ~2 days) and enabling scalable execution across multi-location clients (e.g., Chevrolet)
    • Managed execution and reporting of large-scale programmatic campaigns across platforms including TTD, Google Ads, YouTube, and Meta
  • 2012 — 2014
    Senior SEO Strategist
    IONOS (1&1 Internet)
    • Led SEO and SEM strategy for 300+ websites using A/B testing, keyword analysis, and user behavior analytics (CTR, engagement), improving organic traffic across US, UK, and Canadian markets

Technical Systems & Capabilities

  • AI & LLM Systems

    • Prompt engineering (CoT, ReAct)
    • RAG, agentic pipelines
    • Observability, evaluation

    Data & Analytics Engineering

    • SQL, data modeling, ETL/ELT
    • Airflow, MWAA, Argo
    • Redshift, Snowflake

    Distributed Systems & Infrastructure

    • AWS (Lambda, S3, SNS, SQS)
    • Event-driven, async pipelines
    • Reliability (Datadog, Rollbar)

    Backend & APIs

    • Python, Node.js, FastAPI
    • REST, GraphQL
    • Microservices

    Experimentation & Optimization

    • A/B testing
    • Performance analysis
    • Decision systems

    Tools & Platforms

    • Git, Docker, Kubernetes
    • Sigma, HighCharts
    • TTD, Google Ads, Meta

Academic Experience

  • 2018 — 2024
    PhD Researcher & Instructor
    University of Delaware
    • Conducted research on conversational agents and LLM-guided reasoning in computer science education, designing systems that guide user reasoning through structured interaction (RAG, CoT, few-shot), resulting in 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 computer vision system for parking availability detection using Python and OpenCV

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

  • 2021 — Present
    Senior Software Engineer (Data Science, Scaled Media Solutions)
    Goodway Group
    • Improved stability of RealValue™ (40M+ daily decisions) by re-architecting validation and error handling, reducing production errors by 90%
    • Designed and deployed distributed data pipelines and ETL systems (Airflow, MWAA, Argo, Redshift, Snowflake, S3) supporting large-scale marketing analytics and multi-source data ingestion
    • Architected integrations across 5+ external platforms (TTD, Google Ads, Meta, YouGov, Bing), enabling unified data processing and cross-platform analytics
    • Built event-driven systems (AWS Lambda, SNS, SQS FIFO, S3) to automate analytics workflows, replacing manual notebook-based processes with asynchronous, production-grade pipelines
    • Architected AI-driven analytics capabilities within the GOES™ platform, transforming campaign data into structured signals (SQL fact tables, benchmark thresholds, tradeoff logic) to enable LLM-based reasoning and insight generation
    • Developed LLM-powered systems including RAG pipelines, streaming API integrations, and hierarchical insight generation (Brand Compass) using structured prompt engineering (CoT, ReAct, few-shot) and agentic workflows (CrewAI, LangChain, vector stores, Langfuse)
    • Operated across backend, data, and AI system layers, bridging infrastructure, analytics, and LLM-driven reasoning in production environments
  • 2018 — 2021
    Senior Technical Operations Engineer (Business Intelligence)
    Goodway Group
    • Owned reliability, integrity, and availability of analytics infrastructure (Airflow, Redshift, S3, Tableau) supporting production reporting systems under strict data freshness SLAs
    • Led organization-wide incident response, root cause analysis, and postmortem processes, implementing preventative monitoring and reducing recurring data pipeline failures
  • 2014 — 2018
    Principal Campaign Operations Engineer
    Goodway Group
    • Built COLT, a web-based automation system for campaign production, reducing creative turnaround time by ~80% (10-12 days to ~2 days) and enabling scalable execution across multi-location clients (e.g., Chevrolet)
    • Managed execution and reporting of large-scale programmatic campaigns across platforms including TTD, Google Ads, YouTube, and Meta
  • 2012 — 2014
    Senior SEO Strategist
    IONOS (1&1 Internet)
    • Led SEO and SEM strategy for 300+ websites using A/B testing, keyword analysis, and user behavior analytics (CTR, engagement), improving organic traffic across US, UK, and Canadian markets

Technical Systems & Capabilities

  • AI & ML Systems

    • Prompt engineering (CoT, ReAct)
    • RAG, agentic workflows
    • Observability, evaluation

    Data & Analytics Engineering

    • SQL, ETL pipelines
    • Airflow, MWAA, Argo
    • Redshift, Snowflake

    Distributed Systems & Infrastructure

    • AWS (Lambda, S3, SNS, SQS)
    • Event-driven, async pipelines
    • Reliability (Datadog, Rollbar)

    Backend & APIs

    • Python, Node.js, FastAPI
    • REST, GraphQL
    • Microservices

    Evaluation & Experimentation

    • A/B testing
    • Performance analysis
    • Decision systems

    Tools & Platforms

    • Git, Docker, Kubernetes
    • Sigma, HighCharts
    • TTD, Google Ads, Meta
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