# Aditya Kunatharaju

> Software Engineer at Amazon | Former Attorney

Location: San Francisco, California, United States
Profile: https://flows.cv/adityakunatharaju

Website: https://aditya17varma.vercel.app

I’m a Software Development Engineer currently working at Amazon Web Services on CloudWatch Investigations within AWS AIOps, where I help build and operate consumer-facing systems that support large-scale operational troubleshooting. My work focuses on designing reliable backend services, data models, and infrastructure that operate across multiple regions and handle real-world production load.

At AWS, I’ve owned and shipped critical components end-to-end—from scalable backend services and data migrations to search and discovery pipelines and operational dashboards. I’ve worked extensively on systems that prioritize availability, low latency, and maintainability, and I regularly take on-call responsibility for live services. I enjoy building platforms that reduce operational friction and enable others to focus on what matters most.

I’m particularly interested in roles where software has direct real-world impact, whether that’s improving developer productivity, enabling better operational decision-making, or supporting human-centered workflows in domains like healthcare, media, or consumer products. I enjoy collaborating closely with cross-functional partners and believe strong engineering comes from pairing solid technical foundations with empathy for users.

Before transitioning fully into software engineering, I trained as a lawyer, which sharpened my analytical thinking, research skills, and ability to reason carefully about complex systems and trade-offs. That background continues to influence how I approach system design, reliability, and decision-making.

I hold a Master’s degree in Computer Science and enjoy working across the stack, from backend and infrastructure to applied AI systems and simulation-heavy side projects. I’m always open to conversations about building scalable, reliable software with meaningful impact.

𝐂𝐨𝐫𝐞 𝐂𝐨𝐦𝐩𝐞𝐭𝐞𝐧𝐜𝐢𝐞𝐬:
•	𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Java, Python, C/C++, Go, JavaScript/TypeScript, and R.
•	𝐂𝐥𝐨𝐮𝐝 𝐚𝐧𝐝 𝐃𝐞𝐯𝐓𝐨𝐨𝐥𝐬: AWS (ECS, Lambda, DynamoDB, SQS, Aurora/RDS, Bedrock AgentCore)
•	𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: React, HTML, CSS
•	𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: Scikit-Learn, PyTorch, TensorFlow, HuggingFace, LangChain.
•	𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐓𝐨𝐨𝐥𝐬: Docker, Git, CI/CD practices, and Agile methodologies.

## Work Experience
### Software Engineer @ Amazon
Jan 2026 – Present | San Francisco, California, United States
OneMedical

### Software Engineer @ Amazon Web Services (AWS)
Jan 2024 – Jan 2026
Building CloudWatch Investigations, leveraging LLM-based agents to analyze CloudWatch Logs, Metrics, and Alarms, generating structured Observations and Hypotheses for root cause analysis. High-throughput, fault-tolerant backend services using worker/router architectures to support large-scale investigation workloads.

### Tutor, Computer Science @ University of San Francisco
Jan 2023 – Jan 2024
Responsible for assisting USF student athletes with computer science and business analytics classes. Build semester-long and weekly study plans, to optimize learning for a very busy schedule. Athletes I work with have excelled in their classes.

### Graduate Teaching Assistant @ University of San Francisco
Jan 2022 – Jan 2024 | San Francisco, California, United States
TA for Machine Learning, Intro to AI and Object Oriented Programming, graduate-level computer science courses. I help students master the subject material by creating effective assignments with clear instructions and learning outcomes. I also work one-on-one with them to address individual concerns and growth areas.

### Software Engineer Intern @ Openprise
Jan 2022 – Jan 2022
Developed an Auto Cloud Deployer for deploying containerized applications to 3 providers: GCP, AWS, and Azure. User could deploy to the cloud simply by providing a yaml file with the configuration and running the program.
Deployment process allowed for scalability by deploying to multiple containers. Plug-in architecture enables users to add support for more cloud providers. Cut down deployment time by ~75%.
Incorporated team wide SDLC best practices such as version control (git), CI/CD testing & deployment, and Agile.
Led weekly communications between a multi-site team and project lead to update progress and chart next steps.

### Technology Lawyer @ Technology Lawyer
Jan 2020 – Jan 2021 | Gurugram, Haryana, India
Focussed on disruptive technologies and there interact with the law. In particular, advised on IT, data privacy, and e-commerce matters, and crafting corporate and commercial documentation.

### Research Assistant @ CyberEQ.io™
Jan 2020 – Jan 2020 | New Delhi, Delhi, India
Conducted an analysis of the data privacy and data protections laws and paradigms in the Europe, India, and the United States. Identified the data protection compliance requirements and the operating space for a company interested in capturing employee performance data.


## Education
### Bachelor’s Degree
UCLA

### Master of Science - MS in Computer Science
University of San Francisco

### Bachelor of Laws - LLB in Law
O.P. Jindal Global University (JGU)

### High School
The Shri Ram School


## Contact & Social
- LinkedIn: https://linkedin.com/in/adityakunatharaju
- Website: https://aditya17varma.github.io
- Website: https://github.com/aditya17varma

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Source: https://flows.cv/adityakunatharaju
JSON Resume: https://flows.cv/adityakunatharaju/resume.json
Last updated: 2026-04-01