Aditya Addepalli

Software Engineer @ Bloomberg |

Aditya Addepalli is a highly motivated and skilled Software Engineer Intern currently working at Cohesity. With a Master's degree in Computer Science from the University of California and a Bachelor's degree in Computer Science from Birla Institute of Technology and Science, Pilani, Aditya

1.4

Years of Experience

Education

university of california, birla institute of technology and science pilani, birla institute of technology and science pilani

Companies

bloomberg, cohesity, uc san diego, jp morgan, friendly health technologies, jio, happiest minds

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Aditya's contact details

Experience

2023 - Present
bloomberg
Software Engineer
2022 - 2022
cohesity
Software Engineer Intern
‣ Designed and implemented a scalable, reusable feature store to reduce the time involved in ransomware detection.
2021 - 2023
uc san diego
Graduate Teaching Assistant
‣ CSE 8A: Introduction to Programming I (Fall 2021) ‣ CSE 8B: Introduction to Programming II (Winter 2022) ‣ CSE 11: Accelerated Introduction to Programming (Spring 2022) ‣ MGTA 452: Collecting and Analyzing Large Data (Fall 2022) ‣ CSE 11: Accelerated Introduction to Programming (Winter 2023)
2019 - 2021
jp morgan
Machine Learning Engineer
‣ Built a dataset agnostic solution to mine frequently occurring patterns. ‣ Leveraged Big data technologies like Spark and HDFS to handle 100+ GB datasets. This helped reduce the processing time tenfold. ‣ Developed a novel scoring algorithm to find the most insightful patterns among the exhaustive set generated. ‣ Created an end-to-end Jenkins pipeline and deployed it to AWS EMR and various on-prem clusters in the firm. ‣ Led various client implementations of this product in the trade settlement, reconciliation and regulatory space. ‣ Scaled this product to gather insights from 10+ projects and packaged it to be installable across several teams.
2019 - 2019
friendly health technologies
Deep Learning Engineer
‣ Worked on building and improving deep learning models to automate extraction of data from handwritten insurance documents.
2018 - 2018
jio
Machine Learning and Computer Vision Intern
‣ Developed and deployed a large scale facial recognition system that would replace the need for ID cards for thousands of employees.
2017 - 2017
happiest minds
Machine Learning Intern
‣ Designed a Convolutional Neural Network to help predict Alzheimer’s from the MRI scan of the individual.

Experience

10 Skills

Apache Spark

C++

Computer Vision

Image Processing

Large Language Models (LLM)

Machine Learning

Python

Software Engineer

Spring

teaching

Education

2021 - 2023
university of california
Master of Science - MS
Computer Science
2015 - 2020
birla institute of technology and science pilani
Bachelor of Engineering - BE
Computer Science
2015 - 2020
birla institute of technology and science pilani
Master of Science - MS
Biology/Biological Sciences, General