# Shreeja K.

> CS @ Harvard

Location: Greater Boston, United States
Profile: https://flows.cv/shreeja

## Work Experience
### AI Engineer @ Blee
Jan 2026 – Present | San Francisco Bay Area

### Software Development Engineer @ Amazon Web Services (AWS)
Jan 2025 – Present | Arlington, Virginia, United States

### Software Development Engineer Intern @ Amazon Web Services (AWS)
Jan 2024 – Jan 2024 | Arlington, Virginia, United States

### Faculty and Alumni Co-Chair @ Harvard Women in Computer Science
Jan 2023 – Jan 2024 | Cambridge, Massachusetts, United States
Organize events connecting Harvard women in CS with alumni and faculty for mentorship in careers and courses.

### Software Engineer @ IBM
Jan 2023 – Jan 2023 | San Jose, California, United States
Added endpoints in the RESTful API to retrieve human feedback on the Instana Application Performance Monitoring (APM) system.

### Case Team Lead @ Harvard Undergraduate Data Analytics Group
Jan 2022 – Jan 2023
Led a team in partnership with the American Medical Association (AMA) to analyze Twitter data using unsupervised machine learning from the Twitter user base API in order to identify the medical status of tweeters and noise-producing users.

### Data Analytics Intern @ MITRE
Jan 2021 – Jan 2022 | United States
Developed a long-short term memory model (LSTM) model to nowcast the spread of influenza utilizing EHR, mobility, and search data within county wide regions. Significantly streamlined code for pulling and updating data from API.

### Covid-19 classification of pCXR @ Stony Brook University
Jan 2020 – Jan 2021 | United States
- Developed models based on convolutional neural networks and transfer learning for portable chest x-rays to accurately classify and monitor progression of COVID-19 Infections over time in the lung
- First author of paper published in a PhD level peer reviewed journal, PeerJ: https://peerj.com/articles/10309/

### Co-Founder @ Clinical Trials Selector
Jan 2019 – Jan 2021 | United States
Collaborated with a 3-member team that built an Artificial Intelligence powered online clinical trial selector capable of parsing information from VA and Medicaid patients and searching through clinical trials in the National Cancer Institute database to match patients to relevant clinical trials. Took part in the VA Tech Sprint and received the 2019 Public-Sector Government Innovation Awardee, competing against teams like Oracle and Flatiron Health. The product has gotten production access, so veterans are eligible to use it.

### Machine Learning Intern @ U.S. Naval Research Laboratory
Jan 2021 – Jan 2021 | United States
Developed a bat-inspired sensing and control system for micro-air vehicles using Recurrent Neural Networks, leveraging implicit motor-propeller noise. Processed raw audio files using Fourier transforms.

### App Development/Data Analytics Intern @ MITRE
Jan 2020 – Jan 2020 | United States
- Contributed to a COVID-19 app dedicated to detecting distances between two people based on Bluetooth signals to notify users if they were too close to an infected patient for too long. Utilized Random Forests models and Deep Neural Networks.

### Mammogram Image Processing Application @ FCPS
Jan 2019 – Jan 2020 | Fairfax County, Virginia, United States
- Developed a fully autonomous web application to detect/locate tumors in mammograms.
- Leveraged tensorflow libraries to build a convolutional neural network model to classify breast cancer given a mammogram 
-Deployed model via an easily navigable web application based on ReactJS and NodeJS scripts

### iOS App Developer @ Make School
Jan 2018 – Jan 2018 | San Jose, California, United States
Developed calorie counter iOS app that keeps track of/recommends a user's calorie intake based on features like height, weight, age, daily exercise pattern, and gender using XCode and Swift.


## Education
### Bachelor of Arts - BA in Computer Science
Harvard University

### Master of Science - MS in Computer Science
Harvard University

### High School Diploma in STEM
Chantilly High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/shreejakikkisetti0805

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Source: https://flows.cv/shreeja
JSON Resume: https://flows.cv/shreeja/resume.json
Last updated: 2026-03-31