Sathwick's Portfolio

Education

Master of Science, Computer Engineering

Iowa State University | August 2023 - May 2025

Relevant Coursework: Artificial Intelligence, Operating Systems, Program Analysis

Bachelor of Technology, Computer Science & Engineering

University College of Engineering Kakinada, JNTUK | August 2019 - April 2023

Relevant Coursework: Artificial Intelligence, Machine Learning, Deep Learning, Object Oriented Programming, Data Structures & Algorithms, Design & Analysis of Algorithms, Big Data Analytics, Programming & Problem Solving, Computer Architecture, Computer Networks, Probability & Statistics, Calculus

Expericence

Machine Learning Research Assistant

University College of Engineering Kakinada | July 2022 - April 2023

Focused on enhancing gesture recognition through the implementation and experimentation of various types of neural networks, including CNN, LSTM, and GRU.
Created and trained the deep neural networks using memory efficient Keras sequence techniques, resulting in a 64% reduction in memory usage during training.
Modeled the neural network to recognize gestures in videos and generate corresponding speech, with the neural network achieving an accuracy of 95%.

Data Science Intern

Deep Algorithms | January 2021 - March 2022

Alexa Skill:

Developed and automated an Alexa Skill to track seizures with data syncing, alerts, and voice commands, resulting in improved tracking for patients who struggled with manual seizure tracking and an 84% increase in satisfaction scores.
Integrated notification alerts to remind users of their medication schedules.
Implemented sophisticated voice commands to facilitate checking seizure history.

Data Lake:

Created a data lake on AWS with RedShift, QuickSight, Aurora, RDS, Glue and S3, integrating pipelines for unified access, reducing costs by $68,000 yearly and accelerating insights.
Implemented ELT and ETL techniques to transform 1TB of external and RDS data, resulting in a 57% reduction in data processing time.
Configured Amazon Redshift as the data warehouse, utilizing Amazon S3 as the data lake.
Developed federated queries to access data from external sources and RDS systems.
Leveraged Amazon QuickSight and Microsoft PowerBI to derive valuable insights from the data.

Seizure Information Exports:

Engineered efficient data exports, cutting data retrieval time by 75% through optimized SQL queries.
Created informative and interactive visualizations using Fusion Charts and PowerBI to depict seizure information for individual users and the entire database.