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I’m Andrew Nieves, a Temple University computer science student passionate about building robust software systems and exploring new technologies. I enjoy tackling backend services, ML-driven solutions, and cloud-native architectures, all while collaborating with teammates to turn ideas into reliable, deployable software. I’m particularly drawn to distributed systems, data analysis, and scalable web applications. My goal is to craft clean, well-documented code and deliver meaningful projects—from research-leaning explorations to production-ready services—that positively impact users and teams.…I’m Andrew Nieves, a Temple University computer science student passionate about building robust software systems and exploring new technologies. I enjoy tackling backend services, ML-driven solutions, and cloud-native architectures, all while collaborating with teammates to turn ideas into reliable, deployable software. I’m particularly drawn to distributed systems, data analysis, and scalable web applications. My goal is to craft clean, well-documented code and deliver meaningful projects—from research-leaning explorations to production-ready services—that positively impact users and teams.

Andrew Nieves

Full Stack Developer, Web Developer, Programmer, +2

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I’m Andrew Nieves, a Temple University computer science student passionate about building robust software systems and exploring new technologies. I enjoy tackling backend services, ML-driven solutions, and cloud-native architectures, all while collaborating with teammates to turn ideas into reliable, deployable software. I’m particularly drawn to distributed systems, data analysis, and scalable web applications. My goal is to craft clean, well-documented code and deliver meaningful projects—from research-leaning explorations to production-ready services—that positively impact users and teams.…I’m Andrew Nieves, a Temple University computer science student passionate about building robust software systems and exploring new technologies. I enjoy tackling backend services, ML-driven solutions, and cloud-native architectures, all while collaborating with teammates to turn ideas into reliable, deployable software. I’m particularly drawn to distributed systems, data analysis, and scalable web applications. My goal is to craft clean, well-documented code and deliver meaningful projects—from research-leaning explorations to production-ready services—that positively impact users and teams.

Available to hire

I’m Andrew Nieves, a Temple University computer science student passionate about building robust software systems and exploring new technologies. I enjoy tackling backend services, ML-driven solutions, and cloud-native architectures, all while collaborating with teammates to turn ideas into reliable, deployable software.

I’m particularly drawn to distributed systems, data analysis, and scalable web applications. My goal is to craft clean, well-documented code and deliver meaningful projects—from research-leaning explorations to production-ready services—that positively impact users and teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Cloud Engineer at Personal Project - Cloud Log Streaming

July 1, 2025 - September 30, 2025

Developed a cloud-native pipeline using Java to simulate application logs and stream them to AWS Kinesis for real-time intake; integrated with AWS CloudWatch for centralized log storage and monitoring; designed CloudWatch metric filters and alarms using Terraform; configured automated alerting via AWS SNS; established CI/CD workflows with GitHub Actions for continuous integration, testing, and deployment of the application and Terraform infrastructure; provisioned Kinesis streams, CloudWatch log groups, and alarms with Terraform.

Software Developer at Personal Project - Distributed Tuple Space Handler

May 1, 2025 - September 30, 2025

Developed a distributed tuple space handler in C enabling interprocess communication via tuple-based messaging, inspired by Linda; built a client-server architecture with a centralized tuple space and operations including out, in, and read; implemented network communication using POSIX sockets (TCP/IP); designed a multiprocessing model with distinct services for tuple management, I/O requests, and shell execution.

Backend Developer at Personal Project - Rust Authentication Server

January 1, 2025 - Present

Designed and implemented a secure authentication backend in Rust with user registration, login, and JWT-protected routes; integrated PostgreSQL via SQLx for asynchronous, type-checked queries; implemented Argon2 password hashing for security; built RESTful endpoints for register, login, and profile with proper validation and HTTP status handling.

Machine Learning Engineer at Personal Project - Stock Price Forecasting

December 1, 2024 - September 30, 2025

Built a machine learning pipeline to forecast stock prices using historical data retrieved via Yahoo Finance API; used pandas and NumPy for data manipulation; visualized trends and model performance with Matplotlib; implemented linear regression models to predict future closing prices using lagged features.