Aditi Mithal
Software Development Engineer AWS ML AI at Amazon Web Services (AWS)
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAditi Mithal is a Senior Software Engineer with 11 years of experience building cloud-native, data-driven products across finance and AI infrastructure. She has applied ML, NLP, and scalable systems design at BlackRock’s Aladdin group and helped ship agentic AI features and secure developer tooling at AWS for Amazon Q and CodeWhisperer. Comfortable across Python, R, C++, and front-end Angular work (notably contributing UI features to the Daemo crowdsourcing platform), she blends research instincts from her UCLA MS with production-first engineering. She’s experienced in Kubernetes-based architectures, developer SDKs, and large-model integrations, and mentors engineers while driving product launches. Based in San Francisco, she pairs technical breadth with a practical focus on building scalable analytics and AI systems that solve real client problems. An unusual thread in her background is hands-on OCR and computer-vision research from IIIT-Delhi that informs her cross-domain approach to applied ML.
11 years of coding experience
4 years of employment as a software developer
Business Administration and Management General, Business Administration and Management General at Harvard Business School OnlineBachelor’s Degree (Honors) Computer Science, Bachelor’s Degree (Honors) Computer Science at Indraprastha Institute of Information Technology, DelhiUniversity of California, Los Angeles
English, Hindi, Spanish
Github Skills (6)
javascript10
angular10
html9
css8
crowdsourcing7
material-design6
Programming languages (3)
Github contributions (5)
crowdresearch/daemo
Jun 2015 - Jun 2015
The Daemo crowdsourcing platform
Role in this project:
Front-end Developer
Front-end DeveloperContributions:5 commits, 8 PRs, 29 pushes in 7 days
Contributions summary:Aditi primarily focused on developing and modifying the user interface for the Daemo crowdsourcing platform. Their contributions include implementing a Task Portfolio feature, adding a task monitoring tab to the requester profile, and integrating contributor profiles. They demonstrated proficiency in Angular by modifying templates and controllers to display data related to tasks and user profiles, along with implementing changes in the UI. The user also introduced functionalities like displaying task statistics and ratings, and the integration with existing data.
pythonethereummaterial-designpostgresangular
SnipeSwipe/I-Hate-SVN
Nov 2014 - Nov 2014
Contributions:31 commits in 7 days
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