Open to AI/ML, platform, backend, and product engineering conversations
Featured projects, current AI/product work, and backend systems.
Searchable publications, notes, and PDF previews inside the portfolio.
Persistent recruiter-focused AI assistant with source-linked answers.
The library now includes more technical briefs around AI products, robustness, backend systems, and the original demo documents.
A portfolio note on structured prompting, feedback loops, trust boundaries, and why user-facing AI assistants need product discipline as much as model capability.
A compact note connecting perturbation-based evaluation to real deployment questions around reliability, brittleness, and failure analysis.
A technical brief on subscription states, webhook handling, retries, entitlements, and why financial flows demand idempotent backend design.
A demo-safe research note on decomposing end-to-end latency into retrieval, reasoning, rendering, and human-loop checkpoints.
A compact framework for measuring retrieval quality, failure surfaces, and operational readiness in production assistants.
How premium interfaces, diagrams, and system narratives turn complexity into confidence for recruiters and stakeholders.
A demo packet showing how applied ML work can be framed for grant-style review, with milestones, risks, and deliverables.
A demo funding memo focused on quality control, evaluation coverage, and operator workflows for deployed assistants.
A proposal-style packet for improving data workflows, dashboards, SOPs, and reproducibility infrastructure in research environments.