Full-stack product engineer shipping polished web experiences around AI tools, automation, trading infrastructure, and developer workflows.
Open to internships, new-grad engineering roles, and product engineering teams building AI-powered tools, internal platforms, developer workflows, and systems-heavy web products.
Search-first portfolios, client-facing web apps, and polished recruiter flows.
Multi-agent orchestration and visible model-disagreement workflows.
Trading, inference, WebSocket, and constrained-runtime proof points.
A live Kalshi volatility stack built around streaming BTC data, feature engineering, and model-driven execution with real capital on the line.
Core challenge: Pricing short-horizon volatility under noisy live conditions instead of relying on retrospective backtests alone.
A Rust-first execution system for mirroring high-signal wallets on Polymarket with low latency, deterministic handling, and operator-visible control loops.
Core challenge: Translating on-chain observation into mirrored positioning fast enough to matter without making the system operationally opaque.
An inference runtime for constrained hardware that combines speculative decoding, smart routing, and KV-cache compression to make smaller devices more useful.
Core challenge: Pushing more reasoning capability through limited hardware without pretending compute budgets do not exist.
A multi-agent orchestration layer that distributes work across Codex, Claude, Gemini, and Kimi so parallel model effort becomes a usable execution workflow.
Core challenge: Making heterogeneous model strengths additive, structured, and operational instead of noisy.
