Alex Michelon

Data Engineer @ Meta | Computer Science @ Columbia

New York
Metaex-ENDRA Life Sciences (Nasdaq: NDRA)ex-Iridium

Columbia University graduate and data engineer skilled in developing insight-driven solutions across HealthTech, IoT, enterprise automation, and crowd-solving platforms.

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Proficient in the full development cycle—from data ingestion and analysis to model deployment and user-facing applications. Adept at solving complex problems with clean, scalable code and machine learning models. Core Skills • ML & AI: Probabilistic modeling, logistic regression, LLMs, SVM, k-means, PCA, CNNs • Languages & Tools: Python, Java, C, Swift, SQL, JavaScript, Git, TensorFlow, PyTorch, Keras, scikit-learn, Pandas, NumPy

Career Timeline

JobSchool

GTM Index

  1. METAJOB
    1. Data Eng, Reality Labs GTM…
      1Y 2M
    2. Data Eng Intern
      3M
  2. ENDRA LIFE SCIENCES (NASDAQ: NDRA)JOB
    1. Machine Learning Intern
      10M
  3. IRIDIUMJOB
    1. Product Management Intern,…
      3M
  4. PLIANT.IO, AN IBM COMPANYJOB
    1. Software Intern
      2M
  5. MITJOB
    1. Research Assistant - Cente…
      2M
    2. Research Assistant - Cente…
      2M

Time in market 8Y 4MOpen 3Closed 6Stints 9

gtmindex.io/p/alex-mich

  1. Job: Meta — Data Engineer, Reality Labs GTM Analytics · 2025-08 – present · 1y — - Built a real-time self-serve analytics platform used for executive reporting, enabling sub-second exploration of ecommerce and operational metrics. (30+ MAU) - Consolidated Reality Labs retail and ecommerce data into scalable, multi-grain datasets spanning sales, traffic, conversion, inventory, and media spend analytics. - Developed a multi-agent LLM analytics system enabling reliable natural-language-to-SQL querying across complex semantic datasets, with intelligent query routing, context-aware query rewriting, semantic SQL generation, and response synthesis integrated directly into the analytics platform with <15 second end-to-end response times. - Created a reusable Next.js access-cont…
  2. Job: Meta — Data Engineer Intern · 2024-05 – 2024-08 · 3 mo — Meta builds technologies that help over three billion people connect and grow businesses through platforms like Facebook, Instagram, and WhatsApp, and immersive technologies like augmented and virtual reality. • Designed and implemented a real-time data monitoring system for Meta Reality Labs’ product retailers, providing critical market insights (E.g., timely alerts for out-of-stock events) supporting business growth, and generating insights. • Led the full stack development of data pipeline architecture, including data collection, ETL, and data visualizations via a dashboard for cross-functional usage. • Worked cross-functionally with SW engineering, data science, and product management…
  3. Job: ENDRA Life Sciences (Nasdaq: NDRA) — Machine Learning Intern · 2023-06 – 2024-04 · 10 mo — ENDRA's Thermo Acoustic Enhanced UltraSound (TAEUS®) enables clinicians to characterize tissue like an MRI, but at 40X lower cost, at the point of patient care. • Applied deep learning (convolutional neural networks) to classify clinical data and images for binary and multi-class problems, enhancing anatomical detection of ENDRA's future user-guidance software.
  4. Job: Iridium — Product Management Intern, IoT · 2022-05 – 2022-08 · 3 mo — A leader in satellite communication technology, connecting people, assets, and data anywhere on the planet, across a range of sectors, including military, aviation, finance, shipping, and energy. • Conducted in-depth evaluations of emerging IoT (Internet of Things) competitor development kits, analyzing ease of acquisition and implementation, transmission performance, and message response time.
  5. Job: Pliant.io, an IBM Company — Software Intern · 2020-06 – 2020-08 · 2 mo — A developer of workflow automation tools enabling clients in healthcare and finance to automate time-sensitive and error-prone tasks. • Engineered a proprietary CRM system frontend in HTML and PHP for database interactions with MySQL. Designed a client-facing ROI calculator integrating cloud benchmarks, virtual machine deployments, resource hours, and cost analyses.
  6. Job: MIT — Research Assistant - Center For Collective Intelligence (CCI) · 2019-06 – 2019-08 · 2 mo — CCI’s AI-enhanced platforms engage 100,000+ individuals globally to collaboratively tackle complex issues like climate change. • Analyzed usage patterns of two CCI websites, benchmarked against design best practices, and assessed mobile-friendliness. Proposed enhancements to improve mobile user engagement.
  7. Job: MIT — Research Assistant - Center For Collective Intelligence (CCI) · 2018-06 – 2018-08 · 2 mo — • Analyzed 30,000-element data sets to develop algorithms that reduce fake identities in global CCI crowd-solving initiatives. E.g., established country-specific user-IP limits to curb fraudulent voting in CCI cash-prize contests.
  8. School: Columbia University in the City of New York — Bachelor of Science - BS, Computer Science
  9. School: The Benjamin School — High School Diploma, Advanced Math & Science Curriculum

Skills

Machine LearningDeep LearningApplied Machine LearningPrincipal Component AnalysisNeural NetworksProbabilistic ModelsLogistic Regressionk-means clusteringComparative Market AnalysisPython (Programming Language)Data AnalysisJavaSupport Vector Machine (SVM)Convolutional Neural Networks (CNN)Artificial Intelligence (AI)Collaborative Problem SolvingJavaScriptHTMLCSSPHP

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