Developer With No Experience Resume Example

Software Engineering Intern · Datadog

San Francisco, CA · 2024 - 2024

• Optimized backend data processing scripts, reducing execution time by 15% for critical monitoring services using Python and SQL.
• Developed new frontend features for the internal dashboard using React and TypeScript, improving user experience scores by 10% for over 50 engineers.
• Collaborated with a team of 5 engineers to debug and resolve 20+ production issues, ensuring system stability and reducing incident response time by 5%.

Junior Software Developer (Contract) · DoorDash

San Francisco, CA · 2025 - Present

• Implemented API endpoints for new delivery features using Node.js and Express, supporting 20% growth in daily order volume.
• Redesigned database schemas in PostgreSQL, improving query performance by 25% for high-traffic data retrieval operations.
• Contributed to unit and integration test suites, increasing code coverage by 15% across key microservices and reducing bug incidence by 10%.

Full-Stack Software Engineering Certificate · App Academy

San Francisco, CA · 2023 - 2024

• Completed a rigorous 1000+ hour immersive program focused on full-stack web development and computer science fundamentals, maintaining a 95% average.
• Developed proficiency in Python, JavaScript, React, Redux, Node.js, Express, PostgreSQL, and SQL through 20+ individual and group projects.
• Mastered data structures and algorithms, including sorting, searching, trees, and graphs, with practical applications in project work.

Software Engineer I · FourKites

Chicago, IL · 2024 - Present

• Developed and maintained critical microservices using Java and Spring Boot, improving data ingestion latency by 25% for high-volume logistics tracking, processing over 10 million events daily.
• Engineered new API endpoints and integrated third-party logistics data providers, expanding service capabilities to track 50,000+ additional shipments per day and increasing data coverage by 15%.
• Implemented automated testing frameworks (JUnit, Mockito) that reduced regression bugs by 20% and accelerated feature release cycles by ensuring higher code quality.
• Optimized database queries and schema designs for PostgreSQL, resulting in a 10% reduction in average query execution time for high-traffic analytical dashboards.
• Collaborated with cross-functional teams to deploy features to AWS (ECS, S3, RDS) using CI/CD pipelines, contributing to a 99.9% uptime for core services.

Software Development Intern · JPMorgan Chase & Co.

Chicago, IL · 2023 - 2023

• Contributed to a core banking platform, developing Python scripts to automate data validation processes which reduced manual effort by 40 hours per month.
• Implemented new features for internal analytics dashboards using React and Node.js, improving data visualization and enabling faster decision-making for a team of 15 analysts.
• Assisted in migrating legacy data processing jobs to AWS Lambda, achieving a 15% cost reduction in compute resources and improving job execution times by an average of 20%.

Bachelor of Science in Computer Science · University of Illinois Urbana-Champaign (UIUC)

Urbana, IL · 2020 - 2024

• GPA: 3.8/4.0, Dean's List (6 semesters)
• Relevant Coursework: Distributed Systems, Database Systems, Cloud Computing Concepts, Advanced Algorithms, Operating Systems, Machine Learning
• Senior Capstone Project: Developed a real-time anomaly detection system for IoT sensor data using Kafka and Apache Flink, achieving 95% detection accuracy and processing 10,000 events/second.
• Honors Thesis: 'Optimizing Data Stream Processing for Low-Latency Financial Applications' exploring Kafka and Spark integrations, resulting in a 30% reduction in processing overhead.