Selected Work

Structured backend · permissions · schema design · product UI

Built a first-class training and quiz system in under two weeks. The feature was not simple CRUD: it needed a hierarchy of module → page → block → question → answer/response, and it had to live inside an existing structured entity platform with security builders, permission models, cached parsing, and phase workflow machinery.

The important design pressure was isolation. Admins create and read correct answers; learners can only submit responses. That meant answers needed independent admin-only grants while pages, blocks, and questions proxied through the training module.

AI-assisted development helped parallelize boilerplate migration and frontend iteration, but the security, schema, parser, and permission boundaries were designed manually.

Type systems · code generation · runtime metadata · Python/TS

Extended a production schema/code-generation system to support parameterized type patterns such as generic value/spec types. The system defines shapes once and emits Python types, TypeScript types, API wrappers, OpenAPI metadata, SDK types, and runtime type information.

The hard part was not adding syntax. It touched the parser, runtime type-information walking logic, spec definitions, builder validation, and a new Python metaprogramming pattern. Later work exposed unbound TypeVar handling in wrappable generic specs, which required a deeper design rather than a local patch.

The broader lesson: strong type systems become organizational infrastructure when runtime metadata drives UI, validation, docs, API clients, and platform configuration.

Developer experience · backend systems · lifecycle-aware reloads

Owned backend hot module replacement infrastructure across web, ML, asynchronous job, and LLM server routes. The goal was to make long-running local services reload code without disruptive manual restarts.

The core idea was phase-aware reload boundaries. Different servers had different routing paths and lifecycle constraints, so the solution needed module invalidation, clearable state, and reload paths that respected each server's execution model.

Developer experience compounds because every engineer pays local iteration costs repeatedly. Fast backend loops are product infrastructure even when users never see them.

LLM systems · tool execution · product workflow · UI handoff

Designed and shipped an end-to-end LLM alert workflow: model plumbing, phased prompting, tool execution, alert decisioning, structured recommendations, sidepanel UI, and contextual chat handoff.

The main design tradeoff was turn efficiency. The prompt and tool design needed to reduce roundtrips without hardcoding away the agent's flexibility. That made prompt engineering feel more like systems design than copywriting.

Kubernetes · NATS JetStream · PostgreSQL · Redis · control planes

Worked on distributed AI-agent infrastructure where external events trigger autonomous agent processes running as short-lived Kubernetes Jobs. A control plane reconciles input messages, pod lifecycle events, and message-consumer state into spawn, recovery, cleanup, and status-publishing actions.

The design is recovery-oriented: per-agent consumers track ack state, Kubernetes job spawning is idempotent, and separate event sources converge through the same decision path. The happy path is simple; the real system is about making replay, eviction, stale consumers, and lost acknowledgements ordinary.

Customer workflow · data model migration · graph rendering

Migrated a customer-critical process pipeline from a tree model to a directed acyclic graph so steps could have multiple parents and children. The change rippled through entity modeling, APIs, callsites, workflow-aware traversal, and graph rendering.

The UI work was nontrivial because graph layout depended on node size and workflow variants. A shared graph-shell abstraction let pipeline and recipe graph surfaces reuse traversal and rendering logic.

Profiling · frontend performance · PostgreSQL · Git workflows

Performance work has mostly been iterative: measure, remove one bottleneck, then measure again. Examples include workbook page recomputation, Redux/dnd-kit reconciliation races, repeated static entity-detail payloads, PostgreSQL query tuning, Git workflow optimization, and legacy frontend selector hygiene.

One page had over 10,000 object selectors because of bad factory patterns. The fix was not a clever micro-optimization; it was building a tool to count selectors and refactoring the surface back toward healthier patterns.

Chemistry engine · enterprise pharma engagement · domain learning

Independently planned and implemented a two-week customer- critical upgrade to internal chemistry tooling, improving P/M stereochemical labeling for allenes and helicenes, axial chirality handling, and polymer recognition in an internal Ketcher/Indigo fork.

The interesting part was quickly bridging product needs with domain-specific scientific software constraints while keeping the public story appropriately anonymized for an enterprise pharma engagement.

Before my current platform work, I built code-intelligence and indexing tooling at MathWorks, a secure video-processing system for the Toronto Early Cognition Lab, production medical-imaging infrastructure at 16Bit AI, and applied ML systems for real-time distracted-driving detection at Allegory Insurance.