Education
Bachelor of Science in Computer Science
University of Technology
2016 - 2020
GPA: 3.85/4.0
- Dean's List all semesters
- Senior Thesis: 'Optimizing Neural Architecture Search using Gradient Descent' - Published in university journal
- Teaching Assistant for Data Structures and Algorithms (2 semesters)
- Recipient of Computer Science Department Excellence Award
Research & Publications
Efficient Neural Architecture Search via Gradient-Based Optimization
International Conference on Machine Learning (ICML)
2023
IdeationNovel approach to NAS that reduces search time by 10x while maintaining model performance.
We propose a differentiable architecture search method that optimizes neural network architectures using gradient descent. Our approach significantly reduces computational requirements compared to traditional NAS methods while achieving competitive accuracy on ImageNet and CIFAR-10 benchmarks.
Scalable Microservices Architecture for Real-Time Data Processing
IEEE International Conference on Cloud Computing
2022
In ProgressFramework for building scalable microservices that handle millions of events per second.
Presents a novel architecture pattern for building event-driven microservices with guaranteed message ordering and exactly-once processing semantics. Demonstrates 5x throughput improvement over traditional approaches.
Scalable Microservices Architecture for Real-Time Data Processing
IEEE International Conference on Cloud Computing
2022
SubmittedFramework for building scalable microservices that handle millions of events per second.
Presents a novel architecture pattern for building event-driven microservices with guaranteed message ordering and exactly-once processing semantics. Demonstrates 5x throughput improvement over traditional approaches.
Scalable Microservices Architecture for Real-Time Data Processing
IEEE International Conference on Cloud Computing
2022
In ReviewFramework for building scalable microservices that handle millions of events per second.
Presents a novel architecture pattern for building event-driven microservices with guaranteed message ordering and exactly-once processing semantics. Demonstrates 5x throughput improvement over traditional approaches.
Scalable Microservices Architecture for Real-Time Data Processing
IEEE International Conference on Cloud Computing
2022
PublishedFramework for building scalable microservices that handle millions of events per second.
Presents a novel architecture pattern for building event-driven microservices with guaranteed message ordering and exactly-once processing semantics. Demonstrates 5x throughput improvement over traditional approaches.
Awards & Recognition
Best Innovation Award
Company Hackathon 2023
2023
Awarded for developing AI-powered code review assistant that reduced review time by 40%.
Built an intelligent tool using GPT-4 that automatically reviews pull requests and provides actionable feedback. Competed against 50+ teams and won first place for innovation and practical impact.
Outstanding Graduate Award
Computer Science Department
2020
Recognized for academic excellence and contributions to the university community.
Awarded to one graduating student for exceptional academic performance, research contributions, and leadership in student organizations.
Open Source Contributor of the Year
University Tech Conference
2019
Recognized for significant contributions to open-source projects and community building.
Contributed 500+ commits to various open-source projects, mentored new contributors, and organized open-source workshops on campus.