Hello, I am Dias. A senior year CS student looking for 2025 software engineering internship specializing in Full-Stack (Frontend, Backend, and DevOps) Development
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Skills
Frontend
Backend
DevOps
Experience
ShopMyLook
Founding Software Engineer
October 2024 – Present
- Engineered a scalable influencer-brand marketing platform that supports 1,000+ daily active users during beta testing, ensuring fault-tolerant performance through distributed backend architecture built with Golang and PostgreSQL.
- Built and optimized a real-time analytics system to process 20,000+ daily events, leveraging Redis, AWS SQS, and PostgreSQL, improving data processing efficiency by enabling near-instant insights for users.
- Provisioned and automated server infrastructure using Ansible, Terraform, and Docker, achieving 99.9% uptime and ensuring seamless scaling during peak usage.
- Integrated Prometheus and Grafana to monitor and visualize server health, optimizing resource utilization and improving system reliability by 30%.
- Conducted load testing with K6 on PostgreSQL, PgBouncer, and system resources (CPU, RAM), identifying bottlenecks and increasing backend throughput by 25% under high traffic conditions.
- Streamlined user workflows by designing highly intuitive frontend dashboards with React and Next.js, improving task completion efficiency by 25% based on user feedback.
- Collaborated with cross-functional teams, including engineers, marketers, and product managers, to resolve ambiguous technical challenges, leading to a 20% faster product iteration cycle.
UPMC
Full-Stack Software Engineer Intern
June 2024 – August 2024
- Developed the Medical Imaging Learning Platform using ReactJS and FastAPI (Python), reducing imaging analysis time by 50% and accelerating clinician workflows.
- Engineered scalable backend streaming endpoints with FastAPI StreamingResponse, enabling real-time diagnostics through integration with a fine-tuned Llama 3.1 LLM.
- Improved medical image annotation precision by creating advanced tools with Konva.js and JavaScript’s Canvas API, increasing operational analysis speed by 30%.
- Designed an optimized MongoDB schema for metadata and annotation storage, reducing database query latency by 35%.
University of Pittsburgh
Full-Stack Engineering Intern
Sep. 2023 - Dec. 2023
- Led the design and development of the experimental Knee Analysis platform using ReactJS and Django, incorporating real-time data processing and intuitive user interfaces to reduce diagnosis time by 39%.
- Integrated the Research Lab’s AI models on Oracle Cloud, enabling real-time testing and validation of AI predictions on live data through Django endpoints, enhancing the accuracy and reliability of diagnostic tools.
PayPal
Software Engineering Intern
June 2022 – September 2022
- Enhanced engagement for 12M+ users by integrating financial services into a unified interface, driving 20% higher interaction rates using Java and Kotlin.
- Upgraded 30% of legacy SDKs to API 31, resolving compatibility issues and ensuring fault-tolerant operations for millions of transactions through automated test coverage.
- Implemented automated testing pipelines using Jenkins and integrated with CI/CD workflows, increasing release stability by 95%.
Rosemary
Full-Stack Engineer
July 2021 - November 2021
- Developed a full-stack e-commerce mobile application for Android and iOS, enhancing scalability and user experience using Flutter, Express.js, Heroku, AWS, and MongoDB to support increasing user traffic.
- Engineered a NodeJS backend server, implementing parallel network call algorithms such as concurrent API requests and load balancing, resulting in a 50% improvement in startup time and significant performance boost.
Projects
DP Visualizer
Active Users
DP Visualizer is an interactive tool designed to help users understand Dynamic Programming by breaking down problems step by step. Inspired by the struggle of grasping DP concepts, this tool provides a visual representation of how subproblems build up to the optimal solution. Currently, it supports the Unique Paths problem, allowing users to see how recursive and memoized approaches unfold in real-time. The goal is to expand the tool to cover more DP problems, uncover patterns, and make Dynamic Programming more intuitive and engaging for learners.
Go File Compress
Active Users
A high-performance image compression service built with Go, designed to process large-scale image compression tasks efficiently on Google Cloud Platform (GCP). Supports both lossless (PNG standard library) and lossy (PNGQuant) compression strategies. Implements RESTful API with CORS support, health checks, and load testing using K6. The infrastructure utilizes Google Compute Engine (GCE) with Managed Instance Groups (MIGs) for auto-scaling, an HTTP/HTTPS Load Balancer for request distribution, and Cloud NAT for secure backend services. Security is enforced using Cloud Armor, IAM, and firewall rules. The application is containerized with Docker and managed via Artifact Registry for deployment.
Histology Learning Platform
Active Users
Discover a supportive and collaborative space for studying histology. Our platform features advanced computer vision AI models to help you learn and understand histological structures. Utilize AI-powered tools for annotating findings, creating test materials, and collaborating with peers. With instant feedback and progress tracking from our context-aware AI assistant and integrated ChatGPT, focus on your learning journey while our technology enhances your histology studies.
Diascodegym
Active Users
Tired of "easy" problems that are actually hard? At Diascodegym, our well-crafted, truly beginner-friendly coding challenges are designed to build your skills step-by-step. Our context-aware AI assistant is always ready to help without needing perfect prompts. Focus on learning and solving problems while our AI provides instant feedback and keeps track of your progress
Open Source Contribution
Ivy Wallet
- Integrated caching mechanism to Category Data Repository gaining a 75% improvement in speed that offers a smoother and more responsive user experience navigating throguh the app
- Resolved a user interface inconsistency by introducing a dedicated UI element for categorizing account transfers,which enhanced the logical flow and user comprehension of financial transactions
- Implemented an intuitive feedback mechanism using the Toaster class to alert users of incorrect inputs on transaction screens which reduces user error and streamlines the process