My name is Sidharth Srinath - I'm final-year Computer Science (B.S) student at UC San Diego and have previously worked at MedSmart and Werfen as a software engineering intern and at UCSD's CSE department as an instructional assistant
(
CSE 8A,
CSE 12).
Relevant coursework include
Software Engineering Principles,
Operating Systems,
Digital Systems/Design,
Data Science,
Probability & Statistics,
Intro. Machine Learning,
Deep Learning:Neural Networks,
Statistical Natural Language Processing and more.
Hey, I'm Sid
I’m a programmer out of San Diego interested in computer vision and deep generative modeling. I'm currently working at Sony Electronics as a Data Science Intern and at the Salk Institute for Biological Studies as a Student Researcher in the Talmo Lab.
Background / About Me
Aside from programming, I enjoy playing and recording the guitar using FL Studio and Garageband.
Selected Experiences
*Further experiences and more details on resume @ (top & bottom of site).
Data Science Intern
Winter 2024Sony Electronics
Tackling Computer Vision and Machine Learning challenges a part of the Sony Semiconductors Solutions (SSS) team.
Student Researcher
Fall 2023Salk Institute of Biological Studies
Working on large-scale machine learning pipelines and state-of-the-art computer vision models for efficient pose estimation through SLEAP under Dr. Talmo Pereira.
Software Engineering Intern
Summer 2022Werfen North America
Designed comprehensive integration/unit testing, remote procedure call libraries, and robust GUI(s) for blood coagulation medical devices.
Software Engineering Intern
Fall 2021MEDSmart Inc.
Built data pipelines using boto3 and GraphQL to query historical sales data from AWS (DynamoDB) and perform continuous inferences to predict future medication quantities using LSTM and Autoregression predictive models.
Projects
Spotify Music Clustering
Python
Takes input of a Spotify playlist id
and splits the playlist's songs into low and high-energy clusters using K-means clustering
techniques. Uses OAuth for authorization workflow.
Snake Game AI Bot
Python
Utilizes the NEAT-Python
framework and reinforcement
learning techniques propelled by
genetically evolving neural
networks to develop a model that
teratively learns to defeat snake game.
Social Compass App
Java, XML, CSS
Developed an Android app
that displays friends’
locations in comparison to
yours in real time. Process planned and
documented in github projects and structured with agile principles
Image Label Generator
Python
Worked with a team to developed an encoder(convolutional)-decoder(LSTM) structured neural network that generates intelligent tags for image inputs.