Software Developer

Lynnwood, WA *****

919-***-****

****.*.******@*****.***

SKILLS

EDUCATION AND TRAINING

Bachelor of Science

Computer Science And Psychology

North Carolina State University,

Raleigh, NC

Expected in May 2023

• Programming Technologies:

SQL, Java, Python (prior

experience), C, C++, JavaScript,

AWS (S3, DDB, Lambda, ECS,

EC2, EMR, Sagemaker, Glue,

IAM, Cloudwatch) (prior

experience)

• Programming Technologies, front

end: JavaScript, HTML/CSS,

LaTeX, ReactJS (prior

experience), AngularJS

• Machine Learning: Python with

NumPy and Pandas, Spark

(prior experience)

• Statistical Analysis: Python, R

• Wireframing: Balsamiq,

Microsoft PowerPoint

• Visual Design: Adobe InDesign,

Photoshop, Illustrator

• Version Control: Git, GitHub

• 2019-2022 - Dean's List

• 4.0/4.0 GPA

• Vice President of AI club at NC

State

EXPERIENCE

RESEARCH ASSISTANT

Nc State University Raleigh, NORTH CAROLINA August 2022 - Current SOFTWARE ENGINEER INTERN

Amazon Bellevue, WA May 2022 - August 2022

RESEARCH ASSISTANT

NC State university Raleigh, NC January 2022 - May 2022 PROJECTS

SMIT DEDHIA

• Worked at Vision labs to develop efficient algorithms for object detection and recognition using technologies like TensorFlow, Python, and PyTorch.

• Trained ML models using Roboflow and AWS Sagemaker.

• Improved the efficiency of ML models tweaking hyper-parameters and continuous model evaluation.

• Used AWS Sagemaker for inferencing and evaluating the models.

• Designed and implemented a driver for IntelliFlow platform to integrate Amazon AWS Sagemaker batch transform operation into the IntelliFlow ML platform (open-source name rheoceros) using python 3.0 and boto APIs.

• Provided technical support to scientist team in Amazon DEX to inference datasets after model training and before model evaluation using the driver.

• Added unit and integration tests to improve software quality and reliability using Mockito mocking framework and moto APIs.

• Devised test case plans based on real-world use scenarios for high-quality results using retrospective Amazon data.

• Created example application to showcase the seamless integration with other AWS services.

• Worked in Psychology Human Factors and Cognition department to create an application that can help rehabilitate Cortical/Cerebral Visual Impairment (CVI) patients.

• Designed the algorithm based on concepts like instance segmentation, semantic segmentation, and object detection by tweaking algorithms like yolov5 to achieve the desired accuracy of more than 87%.

• Used technologies like python for coding.

• iTrust2 (Java/AngularJS/SQL)

• Breast cancer detector (Python)

• Movie Time (ReactJS)

• PackScheduler (Java/SpringBoot)

• Differential Equation Solver (Python)

SD

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