
Designed and built Dolcera's AI-native IP services marketing site end-to-end — visual design, copy, motion, and information architecture. Also shipped two print-ready 33″×81″ conference standees by reusing the site's React components and rendering them to vector PDFs through a Playwright-driven export pipeline. Stack includes a WebGL globe, custom SVG architecture diagrams, accessible Radix primitives, and a Zod-validated serverless contact endpoint.
An intelligent photo gallery system that curates daily photo selections using color harmony and semantic similarity. Built with CIELAB color space analysis and CLIP embeddings to select visually cohesive images, featuring an interactive gallery with modal inspection, color palette extraction, and dynamic background gradients. (try it below)
Benchmarked LSTM+Bahdanau, LSTM+Self-Attention, and Transformer architectures for multivariate time-series forecasting on ETTh1, Jena Climate, and Exchange Rate datasets. Evaluated trade-offs between attention complexity and prediction accuracy.

Tiny CNN Accelerator implemented on FPGA. Designed Verilog MFCC + 1D-CNN accelerator with AXI-Stream; timing closure at 100 MHz, <100 ms latency, real-time 16kHz audio. Achieved ≥90% accuracy on small-vocab Speech Commands with HPS integration, quantized weights, and on-board UI.

Tool-Using LLM for Programming Help. Built an agentic LLM that plans, executes, and verifies solutions via tools (retrieval, unit-test runner, static analyzer); achieved +8-12% pass@1 on Codeforces-style sets with A/B-tested prompt/skill graphs.
Curated photos based on color harmony and semantic similarity
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Feel free to reach out to me! Connect and message me on LinkedIn or email me at rish9@uw.edu.