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MS CS @ UC Davis | AI Researcher & Full-Stack Developer | Deep Learning, Web Development, Leadership Enthusiast | Seeking Summer 2026 New Grad / Internship
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UC Davis
Data Scientist
June 24, 2026 – Present
cf_ai_cloudflare_config_assistant
February 10, 2026 – Present
Cloudflare Config Assistant — an AI copilot for DNS, security, performance, and Workers. Chat + voice UI with RAG over Cloudflare docs and Durable Object–backed planning.
View Projectisitup-iOS
January 4, 2026 – Present
A native iOS app that monitors web service health in real time — featuring on-device CoreML anomaly detection, Siri integration via App Intents, and an Apple Intelligence daily digest powered by FoundationModels. Zero third-party dependencies, nothing leaves your device.
View ProjectFarmitra
May 1, 2021 – June 30, 2022
• Received accolades for developing a full stack application for farmers, enabling their connection with NGOs for selling crops. Implemented features such as multiple user logins, payment gateway integration, farmer’s dashboard, and a streamlined checkout process. Utilized Redux Thunk for efficient state management and temporary data storage.
View ProjectRiverBuilder
April 22, 2020 – November 17, 2025
World's first procedural generation software for creating river valleys with multiple nested spatial scales of features.
View ProjectCultural Fit Analysis
The candidate's diverse personal projects, ranging from web development (Farmitra, Tindog) to AI/ML applications (cf_ai_cloudflare_config_assistant, isitup-iOS) and scientific modeling (RiverBuilder, CalFit-STA-221-Project), suggest a broad interest in technology and a willingness to explore different domains. This diversity could indicate adaptability and a curious mindset, which are positive for cultural fit. The current role as a Data Scientist aligns with the target role, further supporting fit. However, the lack of team-based project descriptions or explicit collaboration details limits a deeper assessment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to personal projects, suggesting self-motivation and initiative. The 'Farmitra' project highlights problem-solving and full-stack development, which implies a holistic view of application development. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is not possible.