CV

Contact Information

Name Michael Eniolade
Professional Title Software Engineer / Data Scientist
Email michaeleniolade@gmail.com
Location Salem, Oregon

Professional Summary

Software Engineer/Data Scientist with 10+ years of experience designing, building, and deploying data pipelines, machine learning models, and cloud-native solutions across healthcare, telecom, government, and education sectors.

Experience

  • 2025 - Present

    San Francisco, CA

    Senior Software Engineer
    Mercor Intelligence
    • Designed ambiguity-focused evaluation specifications for AI coding models, mapping contextual signals across codebases.
    • Annotated SWE-Bench Pro V2 fail-to-pass tests by analysing requirements, implementation code, and test expectations.
    • Evaluated AI-generated patches without code execution by comparing failure diffs against test expectations.
    • Conducted structured A/B evaluations of AI coding agents on production-realistic TypeScript monorepo tasks.
  • 2025 - Present

    San Francisco, CA

    MOVE AI Fellow
    Handshake
    • Collaborate with AI researchers to evaluate and refine reasoning systems.
    • Develop and modify Python-based machine learning workflows using scikit-learn and PyTorch.
    • Engineered multi-trap benchmarks for senior backend engineering evaluation.
  • 2023 - 2025

    Salem, OR

    Career Break / PhD Student
    Professional Development
    • Advanced technical expertise in AWS, Azure, GCP, dbt, PySpark, Airflow, Docker, Kubernetes, and MLflow.
    • Pursuing Ph.D. in Information Technology at University of the Cumberlands.
  • 2023 - 2023

    Fairfax, VA

    Data Engineer Intern
    Pyramid Systems Inc.
    • Automated AI/ML pipelines using PySpark, Airflow, Delta Lake, and dbt, improving development efficiency by 30%.
    • Built and demoed an AI-powered chatbot POC integrating Python APIs, Hugging Face Transformers, LangChain, and MLflow.
    • Enhanced data infrastructure by implementing CI/CD workflows (GitHub Actions, Docker, Kubernetes).
  • 2022 - 2022

    Eden Prairie, MN

    Quality Engineer
    UnitedHealth Group (UHG)
    • Improved claims platform reliability by resolving SLA-critical incidents with AWS CloudWatch and Jenkins, cutting downtime by 25%.
    • Performed SQL-based data validations, backend tuning, and automated batch workflows.
  • 2020 - 2022

    Portland, OR

    Functional Analyst - Data Migration
    Deloitte LLP
    • Executed ETL pipelines and SQL-based validations for enterprise migration projects.
    • Developed backend test plans and automation checks, reducing post-migration defects by 20%.
  • 2019 - 2020

    Oregon

    Senior Consultant - Data Analyst/QA
    Dept. of Human Services, State of Oregon
    • Built automation scripts for system shakeouts, cutting manual time by 40%.
    • Improved system reliability through root cause analysis and nightly monitoring.
  • 2018 - 2018

    San Diego, CA

    Data Analyst
    Edmin Inc.
    • Automated Python-based analysis workflows, reducing manual effort by 25%.
    • Delivered Tableau dashboards that accelerated decision-making.
  • 2017 - 2018

    Austin, TX

    Senior QA Analyst
    Speedway Yearbooks
    • Conducted system testing and KPI monitoring, improving deployment success rates.
    • Implemented real-time dashboards for performance tracking.
  • 2016 - 2017

    Lagos, Nigeria

    Revenue Assurance Analyst
    Rhythex Consulting
    • Automated monitoring scripts for billing anomaly detection.
    • Improved data accuracy and reduced downtime across telecom pipelines.
  • 2013 - 2015

    Lagos, Nigeria

    Revenue Assurance Analyst
    Etisalat
    • Supported billing system reliability with automated alerts and B2B data validation.
    • Reduced downtime by optimizing recurring processes.
  • -

    Leadership Coach
    Braven
    Coached early-career professionals on self-management, problem-solving, and adaptability.
  • -

    Mentor
    NPower
    Guided mentees in IT troubleshooting and proactive system support, fostering career readiness.

Education

  • 2024 - Present

    Williamsburg, KY

    Ph.D.
    University of the Cumberlands
    Information Technology
    • Focus on applying AI and machine learning to healthcare cybersecurity, anomaly detection, and IoT security.
  • 2023 - 2023

    Westminster, MD

    M.S.
    McDaniel College
    Data Analytics
  • 2017 - 2018

    San Diego, CA

    M.S.
    California Miramar University
    Computer Information Systems
  • 2006 - 2010

    Oyo, Nigeria

    B.Tech.
    LAUTECH
    Computer Science

Skills

Programming & Data (Expert): Python, SQL, R, Scala, Shell Scripting, Pandas, NumPy, SciPy, Java, C++
Big Data & Pipelines (Expert): Apache Spark, PySpark, Hadoop, Kafka, Apache Beam, Flink, Airflow, dbt, Delta Lake
Cloud Platforms (Expert): AWS (S3, Glue, Redshift, EMR, Lambda, SageMaker), Azure (Data Factory, Synapse, Databricks, Data Lake), GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub)
Machine Learning / AI (Expert): Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face Transformers, LLMs, Generative AI, LangChain, OpenAI API, MLflow
Databases & Storage (Expert): Snowflake, PostgreSQL, Oracle, MySQL, MSSQL, DB2, MongoDB, Redis, Data Lakehouse
Tools & Frameworks (Expert): Docker, Kubernetes, Jenkins, Git, GitHub Actions, Terraform, CI/CD Pipelines, REST APIs, GraphQL
Visualization (Expert): Tableau, Power BI, Matplotlib, Seaborn, Plotly, Excel (Advanced)

Certificates

  • Oracle SQL
  • Oracle OCA
  • Database Specialist
  • OCI Architect
  • AWS Certified

Interests

Artificial Intelligence: Machine Learning, Deep Learning, LLMs, Generative AI, NLP
Big Data: Data Engineering, Data Pipelines, Distributed Computing
Cybersecurity: Healthcare Cybersecurity, IoT Security, Anomaly Detection

Projects

  • Health Syntra - AI Health Analytics Platform

    Developed a full-stack AI-powered health platform with LLM-based symptom analysis using Google’s Gemini 2.0 Flash for intelligent health assessments and recommendations.

    • Next.js 15, TypeScript, Google Genkit AI, Gemini 2.0 Flash LLM, Firebase, Stripe
  • Diamond Price Predictor

    Built an end-to-end machine learning pipeline to predict diamond prices based on attributes such as carat, cut, color, and clarity.

    • Python, Scikit-learn, MLflow, DVC, Airflow, Docker, Flask, Azure ACR
  • MDUS (Multi-Doc Understanding) System

    Built an AI-powered document processing system using LayoutLMv3 and Donut OCR for medical and business documents.

    • FastAPI, React, PostgreSQL, Redis, Docker, LayoutLMv3, Donut OCR
  • AI News Generator

    Built an end-to-end AI-powered news aggregation and personalization platform that ingests updates from selected sources, generates concise digests, and prepares email-ready briefings.

    • Next.js, TypeScript, Clerk, OpenAI API, PostgreSQL/Neon, Resend, Docker, Python, Vercel