Alexander Emili - Software Engineer

Skills

Python, JavaScript, TypeScript, Go, SQL, C#

Vue, Django, React, FastAPI, Flask, Celery

Docker, Kubernetes, AWS, Terraform, GitHub Actions

Platform Engineer

Sandbox Banking

2022 - Current

Architected and deployed containerized applications serving 100+ enterprise customers across multi-region infrastructure
Led migration from legacy cron jobs to distributed Celery queue system, reducing processing time by 75%
Built automated deployment pipelines using GitHub Actions and Terraform, achieving 99.9% uptime SLA

GlyueETL

Python, Django, Vue

Architected ETL platform generating $500K+ ARR within 6 months of launch
Built secure Python sandbox using AST parsing and restricted execution contexts
Developed drag-and-drop workflow editor with real-time schema validation and type checking
Optimized Celery workers to process 10GB+ files with 90% faster throughput than legacy system

Glyue

Python, Django, Vue

Designed idempotent API layer reducing duplicate operations by 95% and preventing data corruption
Built comprehensive audit system with version history and visual diff tools for compliance tracking
Implemented distributed tracing and metrics collection, improving debugging efficiency by 60%

Programmer/Analyst

Resource Data Inc

2021

Worked under an agile framework using both Jira and GitHub as well as Microsoft Azure DevOps
Addressed internal system bugs using SQL migration scripts and LINQ statements

Career Connect Washington

C#, React, JavaScript

Optimized React search components, reducing re-renders by 50% and improving page load times by 30%
Integrated Google Maps API with custom clustering algorithm to display 10K+ locations efficiently
Built secure iframe-based form system enabling cross-domain data collection while maintaining CORS compliance

Investment Analyst

Alaska Permanent Capital Management

2018 - 2020

Managed $50M+ in assets using quantitative analysis and risk management frameworks
Developed Excel-based modeling tools for portfolio optimization and performance attribution

Stock Tracker

React, Express, Sequelize, Node-Cron, WebSocket

Built real-time stock tracking system processing 1M+ data points daily from multiple financial APIs
Implemented WebSocket connections for live price updates and push notifications to 500+ users
Designed automated rebalancing algorithm achieving 15% better returns than benchmark indices

Portfolio Optimizer

Python, FastAPI, OpenAI API, yfinance

Built comprehensive portfolio analysis tool calculating Sharpe ratio, VaR, and Monte Carlo simulations
Integrated GPT-4 API to generate natural language explanations of risk metrics and investment recommendations
Processed historical data for 5,000+ stocks to identify correlation patterns and diversification opportunities

CFA Level III Exam

Passed June 2021

Saint Vincent College, Latrobe PA

BS Computational Finance and Math (2013-2017)