{"$schema":"https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json","basics":{"name":"Anika Mantripragada","label":"Product Design Intern","image":"https://saywise-production-profilepicturestoragebucket-kbfooccc.s3.amazonaws.com/profile-pictures/ec886bd9-2029-4ab3-a01c-52b0071b8b74/linkedin-1791232398236.jpg","summary":"Product designer and engineer building AI-native experiences. Currently at Sauce Labs redesigning design systems for agent-readability.","location":{"city":"San Francisco, CA, United States"},"profiles":[{"network":"LinkedIn","username":"anikamantri","url":"https://linkedin.com/in/anikamantri"},{"network":"anikamantri.com","username":"anikamantri","url":"http://anikamantri.com/"}]},"meta":{"canonical":"https://saywise.com/member7927","version":"v1.0.0","lastModified":"2026-10-05T20:33:32.875Z"},"x_saywise":{"handle":"member7927","pronouns":null,"availability":null,"oneLiner":"Product designer and engineer building AI-native experiences. Currently at Sauce Labs redesigning design systems for agent-readability.","profileUrl":"https://saywise.com/member7927","markdownUrl":"https://saywise.com/member7927/profile.md","pdfUrl":"https://saywise.com/member7927/resume.pdf","archetype":{"code":"OB-MG","name":"Studio Trailblazer","url":"https://saywise.com/sca/98844b335995","rarity":"One of the first Studio Trailblazers on Saywise"}},"work":[{"name":"Figma","position":"Campus Leader @ USC","location":"Los Angeles, California, United States","url":"https://figma.com","startDate":"2026-08-01"},{"name":"Sauce Labs","position":"Product Design Intern","location":"San Francisco, California, United States","url":"https://saucelabs.com","startDate":"2026-05-01","endDate":"2026-08-31","summary":"Rebuilt a legacy design system into an AI-legible library by restructuring design tokens and usage patterns into machine-readable documentation. Built a 24-test evaluation framework across 6 bidirectional Figma ↔ code workflows, achieving 100% mapping accuracy and uncovering gaps in existing mappings and docs."},{"name":"TroyLabs","position":"Co-Head of Design","location":"Los Angeles, California, United States","url":"https://usctroylabs.com","startDate":"2025-09-01","summary":"Leading the TroyLabs accelerator’s design curriculum and socials"},{"name":"SEP at USC","position":"Director of Founder's Education","location":"Los Angeles, California, United States","url":"https://uscsep.com","startDate":"2025-09-01","endDate":"2026-05-01","summary":"Kairo, a motion tracking software providing collegiate-level coaches and athletes with real-time performance analytics"},{"name":"TRIPP, Inc.","position":"Product Design Intern","location":"Los Angeles, CA","url":"https://tripp.com","startDate":"2025-05-01","endDate":"2025-08-31","summary":"Designed and shipped a mixed-reality feature for TRIPP's AI-powered VR wellness app to increase user retention. Collaborated with engineering to prototype, implement, and ship the final experience in Unity."},{"name":"Stanford University","position":"Research Intern","location":"Palo Alto, CA","startDate":"2023-05-01","endDate":"2023-08-01","summary":"Kundaje Lab"},{"name":"UC Irvine","position":"Research Fellow","location":"Irvine, CA","startDate":"2022-06-01","endDate":"2022-09-01","summary":"Akbari Lab"}],"education":[{"institution":"USC Jimmy Iovine and Andre Young Academy","studyType":"Bachelor of Science - BS in Arts, Technology, and the Business of Innovation","startDate":"2024-09-01","endDate":"2028-06-01"},{"institution":"The Harker School","startDate":"2020-08-01","endDate":"2024-05-01"}],"projects":[{"name":"Cue","description":"Designed and built an app that extracts intent from social posts using multimodal AI and surfaces them contextually based on location, calendar, and deadline. Engineered the end-to-end pipeline from social post ingestion to contextual surfacing using GPT API, Google Places API, FFmpeg, and Claude Code."},{"name":"Kairo","description":"Co-founded and designed a computer vision platform for real-time athletic performance tracking. Recruited 6 collegiate diving teams to pilot the software and participated in USC's 10-week incubator."},{"name":"Mobius","description":"Designed and developed the interface for an AI-powered platform that explains complex 3D mathematical concepts through natural language paired with interactive visualizations of surfaces."}],"skills":[{"name":"UIUX Design"},{"name":"Figma (Software)"},{"name":"Product Design"},{"name":"Interaction Design"},{"name":"Design Systems"},{"name":"UX Research"},{"name":"Rapid Prototyping"},{"name":"Visual Design"},{"name":"Claude Code"},{"name":"Cursor"},{"name":"Framer"},{"name":"Blender"},{"name":"Adobe Creative Cloud"},{"name":"Unity"},{"name":"React"},{"name":"shadcn"},{"name":"TypeScript"},{"name":"Node.js"},{"name":"JavaScript"},{"name":"HTML/CSS"},{"name":"XCode"},{"name":"Python"},{"name":"C#"}],"certificates":[{"name":"Figma for Education Summer Camp 2026","date":"2026-08-01","issuer":"Figma"}],"publications":[{"name":"Dissecting the cis-regulatory syntax of transcription initiation with deep learning","releaseDate":"2024-05-31","summary":"Abstract: Despite extensive characterization of mammalian Pol II transcription, the DNA sequence determinants of transcription initiation at a third of human promoters and most enhancers remain poorly understood. Hence, we trained and interpreted a neural network called ProCapNet that accurately models base-resolution initiation profiles from PRO-cap experiments using local DNA sequence. ProCapNet learns sequence motifs with distinct effects on initiation rates and TSS positioning and uncovers context-specific cryptic initiator elements intertwined within other TF motifs. ProCapNet annotates predictive motifs in nearly all actively transcribed regulatory elements across multiple cell-lines, revealing a shared cis-regulatory logic across promoters and enhancers mediated by a highly epistatic sequence syntax of cooperative and competitive motif interactions. ProCapNet models of RAMPAGE profiles measuring steady-state RNA abundance at TSSs distill initiation signals on par with models trained directly on PRO-cap profiles. ProCapNet learns a largely cell-type-agnostic cis-regulatory code of initiation complementing sequence drivers of cell-type-specific chromatin state critical for accurate prediction of cell-type-specific transcription initiation."}]}