Sajjaad Khader

Software Engineer

Sterling, Virginia, United States6 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in full stack development with AWS experience.
Strong background in machine learning and data science.
Proven ability to develop complex data pipelines.

Stackforce AI infers this person is a Fullstack Developer with expertise in Cloud Computing and Data Science.

Contact

sajjaadk123@gmail.com LinkedIn

Skills

Core Skills

Software DevelopmentAwsData ScienceMachine Learning

Other Skills

AlgorithmsArtificial Intelligence (AI)Cascading Style Sheets (CSS)CloudWatchComputer ScienceData MiningDynamoDBHTML5JavaJavaScriptMATLABNode.jsPythonReact.jsSoftware engineer

About

Sajjaad Khader is a B.S. and M.S. in computer science graduate from the Georgia Institute of Technology. He has years of experience in full stack development at Splunk and AWS experience from Amazon. He is always looking to expand his network, so feel free to connect and send a message!

Experience

Splunk

3 roles

Software Engineer III

Promoted

Apr 2024 – Present · 1 yr 11 mos

Software Engineer II

Jun 2022 – Apr 2024 · 1 yr 10 mos

Software Engineering Intern

May 2021 – Oct 2021 · 5 mos · United States

Georgia institute of technology

3 roles

Graduate Teaching Assistant

Promoted

Aug 2021 – May 2022 · 9 mos · Atlanta, Georgia, United States

Fall 2021: Graduate Teaching Assistant for Machine Learning (CS 7641)
Spring 2022: Graduate Teaching Assistant for Data Visualization and Analytics (CSE 6242)

Senior Teaching Assistant

Promoted

Aug 2020 – May 2021 · 9 mos · Atlanta, Georgia, United States

Senior Teaching Assistant for CS 2340 (Objects and Design)

Research Assistant

Dec 2019 – May 2020 · 5 mos · Atlanta, Georgia

Amazon

Software Development Engineering Intern

May 2020 – Aug 2020 · 3 mos · New York, New York, United States

Created Python scripts to construct a pipeline that retrieved performance data from the AWS cross-regional team
Developed various stacks on Node.js for data sources such as CloudWatch, Bindles DataLake, and DynamoDB
Utilized various AWS resources such as Glue Crawlers, S3, Lambda, Redshift, and Quicksight to develop a dashboard displaying real time metrics

PythonNode.jsAWSDynamoDBCloudWatchSoftware Development

Howard hughes medical institute

Data Engineering Intern

Jun 2019 – Aug 2019 · 2 mos · Janelia Research Campus at Ashburn, Viginia

Used MATLAB video annotation library to segment out limbs of fruit flies to determine how different stimuli applied to the flies affect their movements and behavior
Trained certain machine learning algorithms that ultimately predicted limb movements with a 92.7% accuracy
Developed and implemented a user interface on Python and MATLAB to track the performances of the algorithms, to produce confusion matrices, and to display performance metrics

MATLABMachine LearningData Science