I'm based in San Jose, CA and recently completed my M.S. in Applied Data Intelligence at San Jose State University. My background sits across data analytics, software systems, AI workflows, and practical automation.

I like building things that make messy work easier: data workflows, product systems, AI-assisted tools, marketplace flows, and small automation layers that save time or make decisions clearer.

B.Tech, Computer Science & Engineering, PES University (May 2024).

• AEON Marketplace: Contributing to a production service-booking marketplace with iOS 1.0.1 live across discovery, booking, checkout, role-based access, fulfillment, and payment flows. Work includes React Native, TypeScript, Supabase, PostgreSQL/RLS, Edge Functions, Stripe, testing, and release readiness.
• Multi-Agent Decision System: Building an AI-assisted workflow with retrieval, embedding-based context search, tool-use checks, structured outputs, scenario comparison, test cases, and failure-mode analysis for reliable decision support.
• TrackFlow: Full-stack logistics operations platform for customer records, order management, shipment tracking, payment handling, automated PDF invoice generation, email notifications, and operational reporting paths. Built with React, Node.js, Docker, AWS DynamoDB, S3, and SES. GitHub
• ADHD detection from EEG signals: ML pipeline on 19-channel EEG data with 61 ADHD and 60 control recordings. Includes filtering, normalization, artifact handling, feature engineering, LDA, grid search, 5-fold CV, and ensemble evaluation. GitHub
• IBM Hackathon: Emotion Detector: Speech emotion model using 1,400+ RAVDESS audio files across 8 emotions. Built waveform/spectrogram features, tested live recordings, deployed API inference, and won a $1,000 IBM hackathon award. GitHub

• Data Analyst Intern, RPK Investments (May 2025 - Aug 2025): Built recurring Excel, SQL, and Python workflows for operational and financial review, KPI summaries, variance analysis, issue tracking, and reusable reporting templates. Reduced recurring review effort by roughly 25%.
• Business Development Associate, Scaler (Jan 2024 - May 2024): Owned B2C sales conversations with engineers evaluating technical education programs, maintained CRM pipeline hygiene, tracked follow-ups and objections, and mapped customer goals to program fit.
• Teaching Assistant, Machine Learning, PES University (Aug 2023 - Dec 2023): Supported 100+ students across Python, preprocessing, regression, classification, model evaluation, and debugging. Built grading automation for 1,200+ submissions per semester and cut turnaround by roughly 50%.
• Software Developer Intern, Multiverse Technologies / MYn (May 2022 - Aug 2022): Built backend REST handlers and data-access paths for live trip, driver, and operational state used by internal tools.

• Recently completed M.S. Applied Data Intelligence at San Jose State University.
• IBM Hackathon winner for a speech emotion ML project with cloud deployment.
• Built automation that reduced ML grading turnaround by roughly 50% across 1,200+ submissions.
• Contributing to a live service marketplace with booking, payments, authentication, and release-readiness work.