Advaith R Pai - Software Engineer

content = """--- title: 'My Journey' description: 'Timeline of learning, research, and projects' date: '2026-07-27'

Here is a look at my technical journey, from writing my first lines of code to developing full-stack AI applications and shipping production-ready machine learning models.

Ongoing

Open Source & Community — Maintaining a consistent open-source activity streak for 10+ months, consistently shipping production-ready AI applications, and actively growing a community of 1,000+ GitHub followers.

2026

May 2026 — Graduated with a B.Tech in Computer Science (AI Engineering) from Muthoot Institute of Technology & Science.
Feb 2026 — Shipped SERVD, a full-stack AI kitchen assistant integrating Gemini Vision, TheMealDB, Unsplash, and Razorpay for automated ingredient recognition and recipe generation, complete with tier-based subscriptions and secure authentication.

Highlights:

Architected two separate pantry ingestion workflows (image-based scanning and manual entry) with expiry tracking and real-time database sync.
Integrated end-to-end payment processing via Razorpay with role-based premium access controls.

2025

Sep - Oct 2025 — Research Intern at DRDO NPOL (Thrikkakara, Kochi), focusing on passive sonar classification for naval applications.
Sep 2025 — Built SELECTRA, an AI-powered resume analyzer utilizing Claude Opus 4.1 and PDF.js to generate ATS compatibility scores across five rigorous evaluation criteria.

Highlights:

Engineered a hybrid DWSTr model (Depthwise Separable CNN + Transformer) for sonar classification, achieving 94.89% accuracy across 12 distinct vessel categories.
Processed 10,000+ sonar samples into Mel-spectrograms within an end-to-end audio pipeline, slashing preprocessing latency by 35%.
Enhanced model robustness utilizing SpecAugment, class-weighted loss, and a 6-layer Transformer encoder—boosting minority-class recall by 18% and overall F1-score by 12%.
Optimized training loops, reducing training time by 25% via early stopping and adaptive learning rate scheduling, alongside custom evaluation dashboards.
Integrated Puter.js (storage, KV database, AI API) and Zustand into SELECTRA for persistent resume tracking, which improved user retention by 60%.
Solved 300+ problems on LeetCode, solidifying core Data Structures and Algorithms patterns alongside academic coursework.

2024

Deepened software engineering fundamentals through rigorous academic coursework and ambitious personal projects.
Transitioned into modern web development, mastering React, TypeScript, Tailwind CSS, and full-stack architectures.
Expanded backend development, database design, and object-oriented programming proficiencies through collaborative university projects.

Highlights:

Mastered core Computer Science domains: Data Structures, Database Management Systems, Operating Systems, Computer Networks, and Object-Oriented Programming.
Initiated exploration into Machine Learning using Python, NumPy, Pandas, Scikit-learn, and TensorFlow through dedicated coursework and hands-on experimentation.
Cultivated strong collaboration skills through team-based projects and agile development workflows using Git and GitHub.

2023

Began my programming journey, laying a robust foundation in C, C++, Java, and Python.
Grasped the core principles of algorithmic thinking, data structures, and object-oriented design.

Highlights:

Honed problem-solving capabilities by implementing classic algorithms and data structures from scratch.
Acquired relational database design and SQL proficiency through academic labs and assignments.
Familiarized myself with Linux environments, version control via Git, and modern software development lifecycles.
Developed initial academic projects that set the trajectory for the complex AI and full-stack applications built in subsequent years.