Evelio VelezSoftware EngineerNew York

I build full-stack products, cloud data infrastructure and AI tools.

I'm a software engineer finishing my M.S. in Artificial Intelligence at Columbia after earning my B.S. in Computer Science there. I'm the founding engineer at Pneuma Technologies, where I built a food-security app from the ground up, and I've spent two summers at JPMorgan Chase working on data pipelines, Kafka replication, and cloud infrastructure. I like building systems that remove manual work and scale cleanly.

See projectsDownload résumé
  • M.S. Artificial Intelligence · Columbia
  • Full-stack · Cloud · AI
  • Based in New York, NY
Evelio Velez
NYCOpen to new opportunities

Toolbox

Comfortable across the stack

Languages

  • Java
  • Python
  • C
  • C++
  • SQL (MySQL & PostgreSQL)
  • JavaScript

Frameworks & Libraries

  • React
  • React Native
  • Next.js
  • Flask
  • FastAPI
  • Apache Spark
  • Kafka Connect
  • PyTorch
  • scikit-learn
  • spaCy
  • Pandas
  • NumPy

AI/ML

  • Machine Learning
  • NLP
  • Retrieval-Augmented Generation (RAG)
  • LLMs
  • OpenAI API
  • TypeSafe AI (Jev)

Cloud & Tools

  • AWS (Lambda, Glue, S3, VPC)
  • Databricks
  • Apache Kafka
  • Terraform
  • Docker
  • Jenkins
  • SonarQube
  • OpenTelemetry
  • Supabase
  • Git

Experience

A track record of shipping.

Founding-engineer work plus two summers at JPMorgan Chase, building data pipelines and cloud infrastructure in production.

Full résumé
  1. Pneuma Technologies logo

    Founding Software Engineer

    Pneuma Technologies · New York, NY

    March 2026 – Present
    • Architected and shipped Vittles, a food-security mobile app, end-to-end on iOS and Android with React Native, Supabase, and PostgreSQL, reaching 400+ users (150+ weekly active) and 200+ meal-swipe donations.
    • Eliminated 100% of manual donation processing by designing an event-driven swipe-transfer pipeline on serverless infrastructure using Postgres triggers, cron jobs, and edge functions, enabling fully automated transfers.
    • Cut trust-and-safety triage from hours to minutes with an automated moderation pipeline (OpenAI Moderation API, TypeSafe AI Jev classifier) that screens user-generated content in under 300 ms.
    • React Native
    • Supabase
    • PostgreSQL
    • Edge Functions
    • OpenAI Moderation API
    • TypeSafe AI (Jev)
  2. JPMorgan Chase logo

    Software Engineering Program: Digital Platforms Intern

    JPMorgan Chase · Jersey City, NJ

    June 2026 – Aug. 2026
    • Cut cross-region replication lag 30% for 10M+ daily trading messages by migrating on-prem-to-AWS replication from Kafka MirrorMaker to MirrorMaker 2 (Kafka Connect) with autoscaling and failover.
    • Reduced orchestration time 67% (15 to 5 min) for 100+ daily production jobs by building an in-house scheduler (AWS Lambda, Databricks, OpenTelemetry) that auto-detects dependency and ordering conflicts.
    • Unblocked infrastructure deploys for 3 teams by restoring a long-broken Terraform workspace: imported 4 VPC gateways, upgraded them 8+ versions, and cleared all 15 security warnings with zero downtime.
    • Apache Kafka
    • Kafka Connect MirrorMaker 2
    • AWS Lambda
    • Databricks
    • OpenTelemetry
    • Terraform
  3. JPMorgan Chase logo

    Software Engineering Program: Data Engineering Intern

    JPMorgan Chase · Columbus, OH

    June 2025 – Aug. 2025
    • Won 1st of 1,000+ participants at JPMC's Global Hackathon as NLP lead on a 15-engineer team, building a FastAPI service (spaCy, RAG) that matches resumes to job postings and ranks candidates.
    • Automated incentive-based pay calculations for 10,000+ employees daily by building a production AWS Glue ETL pipeline from scratch, replacing a fully manual process and saving 20 hours/week.
    • Raised SonarQube line coverage from 20% to 80% by building unit and integration test suites for AWS Lambda functions that trigger Glue jobs from S3 events and update the Glue Data Catalog.
    • AWS Glue
    • AWS Lambda
    • S3
    • FastAPI
    • spaCy
    • SonarQube

Education

Education & recognition

In progress

M.S. Artificial Intelligence

Columbia Engineering · New York, NY

Graduating
Dec 2027

Relevant coursework

  • Computer Vision I
  • Advanced Spoken Language
  • Artificial Intelligence of Things
  • Design for Generative AI
May 2026

B.S. Computer Science

Columbia Engineering · New York, NY

GPA
3.46
Minor
Economics
Focus
AI & Systems

Relevant coursework

  • Artificial Intelligence
  • Natural Language Processing
  • Machine Learning
  • Operating Systems
  • Advanced Programming in C
  • Cloud Computing
2025

1stof 1,000+ participants

1st Place, JPMC Global Hackathon

NLP lead on a 15-engineer team; built a RAG service that matches resumes to job postings.

Honors

  • Leslie Abbott Scholarship

    Columbia University

    2025–26

  • Dean's List

    Columbia Engineering

    Fall 2024

Certifications

  • AWS Certified Cloud Practitioner

    Amazon Web Services

Selected work

Projects

  • AI/ML🏆 1st place · JPMC Global Hackathon

    RAG for Internal Mobility

    FastAPI service that uses NLP and RAG to match resumes to job postings and rank candidates. Built as NLP lead on a 15-engineer team; 1st of 1,000+ participants.

    • Python
    • FastAPI
    • spaCy
    • RAG
  • MobileiOS · Android

    Vittles

    Food-security meal-sharing app, built end-to-end for iOS and Android. 400+ users, 150+ weekly active, and 200+ meal-swipe donations.

    • React Native
    • Supabase
    • PostgreSQL
    • OpenAI API
  • Frontend

    This Portfolio

    This site. Hand-built with Next.js, Tailwind and shadcn/ui, in light and dark.

    • Next.js
    • Tailwind
    • shadcn/ui

Open to new opportunities

Let's build what's next.

Building something across full-stack, cloud or AI? I'd like to hear about it. Email is the fastest way to reach me.

egv2113@columbia.edu
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