Hi, I'm Advait

I love tech that loves people. I build full-stack products, AI/ML systems, and developer tools. Currently SWE @ MBit Wireless, and building Wafflr. Previously interned at Lyra, Gaea Global Technologies (Synkrato), and MBit Wireless. Off-screen you'll find me rooting for the Atlanta Hawks or chasing the perfect cinnamon latte.

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Work Experience

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MBit Wireless

Jun 2025 - Present
Software Engineer
•Built and deployed an internal employee management platform with secure authentication, role-based admin tools, leave tracking, and centralized document access, used daily by hundreds of employees and cutting HR admin workload by 30%
•Added a Python microservice to MTT for real-time ML scoring (gRPC; FastAPI + ONNX Runtime), reducing log triage time by 45% and increasing tools-team throughput by 20%
•Designed and launched new company website (Next.js, Vercel)
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Lyra — YC X25

Feb 2025 - Apr 2025
Full Stack Engineering Intern
•Developed AI agents and core features for an AI-driven sales platform using TypeScript (Zod, Zustand, tRPC), Next.js, Supabase, Vercel, Twilio, Deepgram, LiveKit, Tailwind for real-time sync, auth, and backend infra
•Integrated APIs (Stripe, Zapier, Slack) to convert sales conversations into actionable workflows
•Implemented observability and analytics tooling (Mixpanel, Sentry), increasing library engagement by 30%
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Gaea Global Technologies (Synkrato)

Jun 2024 - Sep 2024
Software Development Intern
•Refactored Python-based Optimus AI engine with Scikit-learn and vectorized operations (Pandas, NumPy) to achieve 18% faster preprocessing, optimized MongoDB query performance, and enhanced security features
•Implemented Azure CI/CD pipelines with 100% mutation coverage and e2e test automation (Pytest), 15% faster release cycles
•Engineered scalable components for computer vision and digital twin logistics optimization projects
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MBit Wireless

Jun 2021 - Sep 2023
Software Engineering Intern — Tools Team
•Boosted 30+ engineers' productivity by 20% by refactoring the Java-based MBit Trace Tool (MTT) for ARM Skylark 500 SoC (1.2GHz), adding better UI/UX, parameter configuration, parsing, filtering, and real-time variable monitoring for LTE/5G and AIoT applications
•Enhanced MTT with a cloud-based analytics pipeline by integrating AWS services including S3 (trace storage) and Lambda (scalable parsing workflows) and a full JUnit test suite with 95% coverage, ensuring reliability across both local and cloud components
•Conducted static and mobility testing on Skylark 500 for data packet analysis and performance verification

Education

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University of California, Santa Barbara

Sep 2021 - Mar 2025
Bachelor of Science, Computer Science
Data Structures
Algorithms
Full-stack Development
Operating Systems
Database Systems
Applications Programming
Machine Learning
Networking
Internet of Things
UI/UX
Virtual/Augmented Reality
Contact

Get in Touch

Feel free to reach out through any of these email addresses: