As a Software Development Engineer Intern in the Lambda team at Amazon, I apply my strong technical skills and research experience to develop and deploy innovative solutions for Kafka-Lambda integration. I work with a cross-functional team of engineers, designers, and product managers to create and improve developer experience on AWS and enhance user engagement and satisfaction.I am currently pursuing my Master of Science degree in Computer Science at Columbia University, where I focus on machine learning and artificial intelligence. I have completed several projects and courses on topic modeling, text analysis, and deep learning, achieving high performance and accuracy. I am passionate about leveraging cutting-edge technologies to drive innovation and solve real-world problems. I am seeking opportunities to further advance my skills and knowledge in software engineering and research.
Amazon Web Services (Aws)
View- Website:
- aws.amazon.com
- Employees:
- 142019
-
Software EngineerAmazon Web Services (Aws)Seattle, Wa, Us -
Software Engineer InternAmazon Web Services (Aws) Jun 2024 - Sep 2024Seattle, Wa, Us -
Software Engineer InternCrowdstrike May 2023 - Aug 2023Remote, Us• Identified critical Falcon Forensics Collector customer pain point necessitating proxy server usage in forensics data transmission• Addressed Proxy Auto Configuration (PAC), auto-discovery, and registry settings issues in Go and Objective-C, fusing high-level programming languages with low-level system IO techniques• Formulated cross-platform (Windows, macOS, Linux) Go module adaptable to various proxy settings• Wrote rigorous unit and integration test suite for module, ensuring robust code quality and maintainability• Integrated module into Falcon Forensics Collector, enhancing its functionality and capability while simplifying configuration, reducing support requests by 25% and augmenting customer satisfaction -
Machine Learning Data AnalystRimble Jun 2022 - Dec 2022Berkeley, Ca, Us• Created Machine Learning and regression models utilizing Pandas and Scikit-Learn on Google Compute Engine for diverse e-sports tournaments; analyzed and filtered raw data to engineer trainable features; accurately predicted winning teams and player outcomes, resulting in a substantial 20% reduction in prediction errors• Elevated model deployment to enterprise level using AWS Lambda, DynamoDB, S3, and EC2, constructing a dynamic predict-update pipeline that continually refined model predictions online• Orchestrated backend REST API with Flask and Postman, serving both website and corporate clients -
Autonomous Driving Software Engineering InternXpeng May 2021 - Jul 2021Guangzhou, Guangdong, Cn• Led development of XMapper, a real-time visualization and mapping application, seamlessly integrating LiDAR, ultrasonic radar, and camera systems using OpenCV, Qt, C++, Python, accelerating production cycle• Devised efficient point cloud compression solutions, boosting data throughput by 2.5x and reducing latency by 70%, enabling simultaneous real-time processing of 8-way sensor data on a single laptop• Revamped and published obstacle avoidance algorithm with XMapper, resulting in 20% more true detections
Edison C. Skills
Edison C. Education Details
-
Columbia UniversityComputer Science -
University Of California, BerkeleyComputer Science And Economics
Frequently Asked Questions about Edison C.
What company does Edison C. work for?
Edison C. works for Amazon Web Services (Aws)
What is Edison C.'s role at the current company?
Edison C.'s current role is Software Engineer.
What schools did Edison C. attend?
Edison C. attended Columbia University, University Of California, Berkeley.
What skills is Edison C. known for?
Edison C. has skills like Leadership, Scikit Learn, R, Git, Amazon Web Services, Linux, Data Science, C, Assembly Language, Microsoft Powerpoint, Keras, Tensorflow.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial