Srajan Dube

Experience

• 

  University of Central Florida

  Jun 2018 - Aug 2018

  Summer High School Apprentice

  As a volunteering summer intern at the University of Central Florida's Center for Research in Computer Vision, I leaned the fundamentals of programming and machine learning and assisted the PhD students with their research. "Crowd counting" was a particular project I assisted with by analyzing data and helping in developing an app for the project.

• 

  Edutourismus

  May 2020 - Nov 2020

  Intern

  Worked on website development and management, marketing, and content management for Edutourismus over the summer. Helped build their course platform on thinkific.com, took over the website from previous developers, performed quality assurance on the code, tested the app and website, and marketed the company to potential clients.

• 

  Callissto Inc

  May 2020 - Sept 2020

  Software Engineer Intern

  Worked closely with the owner of callisstoinc and used an agile development approach with iterations and playbacks to develop the company website, located at callisstoinc.org, using javascript to include a built-in emailing functionality as well the HTML bootstrap framework to create an appealing, reactive UI.

• 

  Georgia Tech Research Institute

  May 2021 - Jul 2021

  Computer Vision Research Intern

  Worked in GTRI's Electro-Optical Systems Laboratory under Dr. Gregory Badura and researched light field camera applications for satellite pose estimation.Researched light fields and their applications, created algorithms using light field camera data for edge detection, perspective shifting, refocusing, and depth map and point cloud generation, and performed 3D reconstruction and pose estimation on an apriltag.

• 

  IBM

  May 2022 - Sept 2022

  Data Science Intern

  Extracted and aggregated log files and detected anomalies in them using an OOB modelGeneralized the Log Anomaly Detection pipeline to detect anomalous logs from multiple productsExpanded and rewrote the Log Anomaly to Resolution pipeline to improve pipeline configurability and code stability, increase code generalizability, and add end to end automation.Used vectorization and Kmeans Clustering to cluster and prioritize logsUsed cosine similarity to determine similarity between logs and collapse logs with high similarity scores Show less

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  Georgia Institute of Technology

  Aug 2022 - May 2023

  Quantum Computing Graduate Teaching Assistant

  Designed Assignments and wrote test cases for themTaught Quantum Computing concepts to Graduate students

• 

  IBM

  Oct 2023 - now

  Data and AI Technical Specialist