# Chinmayee Siddaramaiah

> Software Engineer Data, Amazon

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/chinmayee

Skilled Software Engineer with 5+ years of experience in software development and data engineering. Adept at designing, developing, and deploying robust software solutions. Experience in building automation tools and leveraging machine learning for improved efficiency.

## Work Experience
### Software Engineer Data 2 @ Amazon
Jan 2024 – Present | San Francisco Bay Area
Working in clickstream team by building tools to catch regressions to metrics and monitoring tools with alarms to cut tickets to source tickets for changes in data.

### Software Engineer Data @ Amazon
Jan 2022 – Jan 2024 | San Francisco, California, United States
Worked on marketing data ingestion starting from 3p to ingestion of internal data. Built data quality validation pipeline which caught lot of data issues. Integrated with anomaly detection to catch issues uncaught by heuristic approaches. Built pipelines for transformation and data models to store and process the data. Built infrastructure to make data ready for model ingestion that is feature engineered. 
Built dashboard tool to automatically load the model output data and display results stakeholders in addition to data health.

### Data Scientist @ SmartAC.com, Inc.
Jan 2021 – Jan 2022 | Houston, Texas, United States
Built AC classification model to predict the type based on speed and use on PyTorch using random forest classifier with accuracy of 88%. This was crucial as the whole backend system required the system type to process the data which will show up on the customers application.
Built regression model to predict temperatures used to evaluate the AC working mode. This is very critical to determining the AC health.
Built time series forecasting model to determine the cycle time which is necessary to classify the health of the system.

### Data Scientist @ SmartAC.com, Inc.
Jan 2021 – Jan 2021 | Houston, Texas, United States
- Designing/Developing/Testing/Optimising software to analyse HVAC systems health.
- Researched and analysed efficient ways of storing large amount of data (RDS/DynamoDB/Kinesis) and design decisions(Throttling) involved.
- Created and investigated data driven visualizations to build an end-to-end system
- Developed experimental and analytic plans for data modeling and feature engineering.
- Applied various machine learning techniques, and analysed and understood the key parameters that affect the performance.
- CI/CD involves statistical analysis, optimizations, regression modeling and forecasting, time series analysis of the data collected from IOT devices.

### Multimedia and data science student researcher @ Integrated Media Systems Center
Jan 2020 – Jan 2021 | Los Angeles, California, United States
Working on VBS 2021-fast video segmentation and annotation for International Conference on Multimedia Modelling(MMM2021) using techniques of computer vision, machine learning, deep learning, convolutional neural networks, natural language processing, text analysis and retrieval. 
Contact: Dr Seon Kim

### Machine learning and NLP Research Programmer @ University of Southern California - Marshall School of Business
Jan 2020 – Jan 2020 | Los Angeles, California, United States
DEVELOPING MACHINE LEARNING/DEEP LEARNING PIPELINES FOR TOPIC MODELLING ON BIG DATA

### Graduate Teaching Assistant @ University of Southern California
Jan 2020 – Jan 2020 | Los Angeles, California, United States
ITP 449 - Applications of Machine Learning

### Machine learning and AI Research Volunteer @ University of Southern California
Jan 2020 – Jan 2020 | Los Angeles, California, United States
A novel image segmentation algorithm using graph embedding(fast map) for faster segmentation in near-linear time.
Contact: Dr Satish Kumar T

### Design Engineer, RFA Layout IC @ Qualcomm
Jan 2017 – Jan 2019 | Bangalore

### Software Engineer Intern @ Robert Bosch Engineering and Business Solutions Vietnam
Jan 2017 – Jan 2017

### Intern @ Aditya Semiconductors
Jan 2015 – Jan 2016

### Intern @ GTRACK Technologies
Jan 2014 – Jan 2014


## Education
### Masters in electrical engineering in Computer vision and image processing
University of Southern California

### Deep learning Directed Research in Brain Image Analysis and Modelling
Brain and Creative Institute, USC

### Mathematical modelling and Algorithms for image processing and computer vision
Indian Institute of Science (IISc)

### Bachelor of Engineering (B.E.) in Electronics and Communications Engineering
Sri Jayachamarajendra College of Engg., MYSORE

### Twelfth Standard in PCMS
Expert pre-university college Mangalore

### Schooling
JSS Public School,Mysore


## Contact & Social
- LinkedIn: https://linkedin.com/in/chinmayee95

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Source: https://flows.cv/chinmayee
JSON Resume: https://flows.cv/chinmayee/resume.json
Last updated: 2026-04-05