Senior Software Engineer

Hi, I'm Michael
Carpenzano

|

Building scalable SaaS platforms, cloud-native systems, and performance-critical financial software.

Who I Am

Senior Software Engineer with strong full-stack experience designing, building, and maintaining scalable SaaS applications and production-critical systems. Proven background in financial software, cloud-based platforms, and performance-sensitive backend services.

Comfortable owning features end-to-end — from backend architecture and database optimization to frontend implementation and client-facing reliability. I bring a growth mindset, analytical problem-solving, and the ability to work effectively across cross-functional and international teams.

Location Long Island, New York
Education B.S. Computer Science — Stony Brook University
Languages English (Fluent) · Japanese (Elementary)
Awards Dean's List · Game Programming Competition Finalist

Where I've Worked

Crizit

Senior Software Engineer

New York, NY 2025 — Present
TypeScript Go Node.js PostgreSQL DuckDB RabbitMQ Docker
  • Senior engineer on a production financial platform requiring 99.9% uptime and high operational reliability.
  • Develop and maintain a hybrid architecture consisting of a cloud-based SaaS analytics platform and an on-site, always-on proxy server deployed within client environments.
  • Build backend services responsible for request routing, cost optimization, data analysis, and fault-tolerant processing.
  • Design asynchronous workflows using RabbitMQ to decouple services and improve scalability and resilience.
  • Work extensively with PostgreSQL and DuckDB for analytical queries, reporting, and performance-sensitive data access.
  • Contribute to system observability, deployment processes, and CI/CD pipelines to ensure safe and repeatable releases.

OpEff Technologies

Full-Stack Software Engineer

Jericho, NY 2023 — 2025
C# .NET TypeScript Angular Node.js SQL Server Azure
  • Developed specialized accounting and financial software used by hedge funds, private equity firms, and real estate investors.
  • Implemented complex financial calculations and reporting logic in C#/.NET, supporting mission-critical accounting workflows.
  • Optimized backend performance through multi-threading, algorithmic improvements, and database tuning — achieving up to 93% faster calculations and 95% faster SQL queries.
  • Designed and implemented REST APIs consumed by Angular-based frontend applications.
  • Worked extensively with Microsoft Azure, Docker containers, and CI/CD pipelines.
  • Helped onboard and support 5+ institutional clients, including banks and venture capital firms.
  • Trained and integrated ML models for detecting calculation and data inconsistencies using Scikit-learn and ML.NET.

Stony Brook University

Bachelor of Science in Computer Science · GPA 3.2

2019 — 2022

Dean's List Fall 2020 & Spring 2021 · Game Programming Competition Finalist 2021 & 2022

What I Work With

Languages

TypeScript JavaScript C# Go Python SQL

Frontend

React Redux Angular HTML CSS

Backend

Node.js .NET REST APIs Async Services

Databases

PostgreSQL SQL Server DuckDB

Cloud & Infra

AWS Azure Docker CI/CD

Systems & Practices

RabbitMQ Multithreading Agile / Scrum Performance Optimization

Things I've Built

Sphnx — Social Quiz Platform

Sphnx

Social media platform for creating and sharing quizzes with friends.

JavaScriptReactNode.jsMongoDBGraphQL
Rage of the Sea

Rage of the Sea

Rogue-like game set in a shipwreck filled with lovecraftian monsters.

TypeScriptNode.jsWebGL
SBU Game Competition Finalist 2021
Word Sense Identifier

Word Sense Identifier

Deep learning model that determines word meaning from surrounding context.

PythonPyTorchNumPy
COVID-19 Testing Portal

COVID-19 Testing Portal

Data entry portal for university employees to report COVID-19 test results.

JavaScriptReactExpressMongoDB
Profiler — Detective Game

Profiler

Detective game where you track targets using clues from their online profiles.

Unreal Engine 4C++Blender
SBU Game Competition Finalist 2022
Amazon Review Sentiment Analysis

Amazon Review Sentiment Analysis

Sentiment analysis of 3,500+ Amazon magazine reviews using deep learning.

PythonPyTorchNumPy

Get In Touch

I'm always open to discussing new opportunities, interesting projects, or just connecting. Feel free to reach out.