Anthony Cerelli

Software Engineer • Data Science • Builder

Toronto, ON, Canada MBA Candidate, Rotman School of Management (University of Toronto)Class of 2027Product • Data • Venture

Nanotechnology Engineering (UW) grad turned software/data engineer. I design data pipelines, ship ML-enabled products, and stand up pragmatic cloud architectures. I care about velocity, clarity, and measurable business impact.

Experience

  • Jul 2022 – Present

    Genellipse

    Software Engineer

    • Automated financial reporting with Python + AWS ETL; cut processing time ~40%.
    • Architected event-driven systems across S3, EventBridge, Step Functions, Lambda, DynamoDB, Glue.
    • Integrated CI/CD (Bitbucket/Git/Jenkins) + Jira; reduced deploy times ~30%.
  • May 2021 – Aug 2021

    Genellipse

    Data Engineering Intern

    • Led 5 interns to build a MERN app that predicted life insurance premiums (92% accuracy).
    • Owned AWS deployments across 10 CI/CD pipelines spanning dev/stage/prod.
    • Optimized a lead-gen neural net (+5% BA) via batch norm, L2, dropout, early stopping.
  • Jan 2021 – Apr 2021

    Fairfax Financial

    Data Science Intern

    • Customer segmentation with DBSCAN/K-Means into 5 distinct cohorts.
    • Built an ML pipeline with TensorFlow Extended (TFX) over 20+ data inputs.
    • Applied NLP (TF-IDF, NLTK, imputation, OHE) for classification tasks.
  • Jan 2020 – Apr 2020

    Nuclear Promise X

    Software Engineering Intern

    • Regression models (Keras) to predict maintenance time → +20% efficiency.
    • Built Solidity/Truffle/Ganache prototype for energy distribution; reduced grid costs ~10%.
    • Big-data matching via Levenshtein distance → 30% faster + 15% fewer errors.
  • Sep 2019 – Dec 2019

    PepsiCo

    Automation Engineering Intern

    • RPA with UiPath → ~1,000 hours annual time saved.
    • Power BI (DAX) + SQL: 10+ live dashboards for operations.
    • Coordinated prod deployments across server + dev teams.
  • Jan 2019 – Apr 2019

    KPMG Canada

    Engineering Consultant / SR&ED Intern

    • Automated billing with Python + Selenium across 5 regions; eliminated manual entry.
    • Improved SEO: +40% keyword rankings via on-page + tech optimizations.
    • Authored technical reports for SR&ED tax credits (accuracy + compliance).

Projects & Leadership

Euclid Labs (CEO & Founder)

Jul 2025 – Present
  • Leading development of AI-powered mobile app for body scanning and health optimization.
  • Founding and scaling technology companies across various industries.

Approva (CTO & Co-Founder)

Jan 2023 – Mar 2024
  • Led 8-engineer team; shipped an innovative product end-to-end.
  • Architected cloud infra; secured ~$500K in funding.

Social Fabric (CTO & Co-Founder)

Jan 2022 – Jan 2023
  • Sales model blending social sentiment + crypto signals → +25% forecast accuracy.
  • High-throughput AWS pipeline with Kinesis Firehose (>10M datapoints/day).

Skills

Languages

PythonTypeScript/JavaScriptSQLSolidity

Cloud & DevOps

AWS (S3, Lambda, DynamoDB, Glue, Step Functions, EventBridge)DockerCI/CD (GitHub/Bitbucket, Jenkins)IaC & Observability (Terraform, CloudWatch)

Data & ML

ETL/ELTTensorFlow/TFXClassical ML (sklearn)Clustering (DBSCAN/K-Means)NLP (TF-IDF, NLTK)

Analytics & BI

Power BI (DAX)A/B testingExperimentation

Web

React/MERNREST/GraphQLAuth/JWT

Education

Rotman School of Management, University of Toronto

MBA Candidate

Class of 2027

University of Waterloo

BASc, Nanotechnology Engineering (with distinction)

Class of 2022

Contact

Get in touch

Interested in collaborating, hiring, or just saying hi? Email me directly or connect on LinkedIn.

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