Nicholas Alejandro

About Me

I'm a Computer Science and Statistics student at UNC Charlotte with a passion for building software that solves real-world problems.

I'm currently an Automation Developer Intern at Apexanalytix, where I engineer automated web scraping pipelines and AI-powered data validation workflows that turn large-scale public data into reliable insights. Before that, I spent two summers as a Software Engineer Intern at Wunderlich-Malec Engineering building automation tools and AI-integrated pipelines that cut multi-day tasks down to hours.

I thrive at the intersection of software development and data—whether it's running an algorithmic trading bot live on prediction markets, building distributed data extraction platforms, or automating tedious workflows.

Location Charlotte, NC

Education UNC Charlotte '27

Focus CS & Statistics

Status Open to Opportunities

Experience

Apexanalytix Current

Greensboro, North Carolina

Automation Developer Intern May 2026 – Aug 2026

Engineered automated web scraping pipelines extracting candidate and labor market data from government websites, enabling better client-candidate matching
Built AI-powered data validation workflows to verify accuracy, flag inconsistencies, and surface insights from scraped datasets
Implemented intelligent fetch orchestration with multi-source search aggregation and automatic fallback strategies when primary sources fail
Streamlined intake of large-scale public data sources, reducing manual data-gathering effort and improving reliability of downstream decisions

Python Web Scraping AI / LLM Validation Data Pipelines

Wunderlich-Malec Engineering

Kernersville, North Carolina

Software Engineer Intern May 2024 – Aug 2024 / May 2025 – Aug 2025

Developed control and software systems for onsite engineering projects
Designed automation tools that reduced multi-day office tasks to under 2 hours
Built and tested VBA and Python scripts automating data transfer, validation, and analysis in Excel
Designed AI-integrated automation pipelines using Microsoft Power Automate and Azure to streamline cross-departmental workflows

Python VBA Power Automate Azure

Featured Projects

Live Trading

Prediction Market Trading Bot

High-frequency algorithmic trading bot for the Kalshi prediction market, running an expiry-sniper strategy on crypto settlement markets with sub-second fills. Risk-managed with half-Kelly position sizing, circuit breakers, and a hard equity floor—validated live on a real bankroll with Monte Carlo and walk-forward backtesting.

TypeScript Node.js Kalshi API WebSocket SQLite

Reach Out to See Code

In Progress

Automated Data Discovery Platform

Scalable extraction pipelines processing thousands of public records daily with async Python, Redis Streams, and distributed workers. Features LLM-based entity extraction with confidence scoring, content deduplication, deterministic caching, and Kubernetes-native observability with Prometheus metrics.

Python FastAPI Redis LLM APIs Kubernetes

Reach Out to See Code

In Progress

DeltaV Alarm Monitoring System

Desktop application for monitoring real-time DeltaV telemetry data. Features socket-based state tracking, bcrypt authentication, async email/SMS alerts, and Docker containerization.

Python Tkinter SQLite Docker asyncio

View Code

Completed

Excel Builder Utility

Electron-based desktop tool to convert Excel workbooks into DeltaV-ready UTF-16LE tab files. Features live sheet previews, drag-and-drop UX, and automated download workflows.

Electron JavaScript SheetJS HTML/CSS

View Code

Skills & Technologies

Languages

Python TypeScript JavaScript Java HTML CSS VBA

Frameworks & Tools

Node.js FastAPI Redis Docker Kubernetes Electron Git/GitHub

Cloud & Automation

Azure Power Automate Prometheus Rockwell Automation PlantPAx Windows/Linux Admin Network Administration

APIs & Data

LLM APIs Kalshi API WebSocket REST APIs SQLite Redis Streams

Let's Connect

I'm always open to discussing new opportunities, interesting projects, or just having a chat about tech.

LinkedIn GitHub Email