David Discua · Senior engineer
David
Computer Science Engineer · Full Stack Developer · DevOps Engineer · AI Agent Developer
I ship production systems end to end—cloud, APIs, and the occasional stubborn Web3 integration. I also use AI agents heavily; they write faster, and I still own the outages, the refactors, and the “why is this in production?” questions.
About
Senior engineer. Zero interest in theater.
I’m David—Computer Science engineer with 8+ years shipping scalable applications, cloud infrastructure, blockchain platforms, and AI agent systems. I care about architecture you can evolve, operations you can sleep through, and teams that still like each other after go-live.
Expertise
- Full stack product delivery — End-to-end ownership from API design to polished UI—shipping features without pretending the first schema was final.
- Cloud & DevOps — Pipelines, containers, and infra-as-code that keep releases boring in the best possible way.
- AI agents & LLM tooling — Orchestration, evaluation, and guardrails—so agents help teams instead of improvising in prod.
- Blockchain platforms — Gasless flows, validators, and Web3 integrations where on-chain complexity meets real user needs.
What I build
- Scalable applications — Product-minded engineering—performance, maintainability, and clear seams between services.
- Cloud & platforms — Infra that matches the org: automation, security basics, and observability that earns its dashboard space.
- Blockchain & Web3 — Practical on-chain work—validators, integrations, and gasless flows when UX can’t afford friction.
- AI agents — Tooling and orchestration that keeps humans in control—because nobody wants surprise autonomy in prod.
I’ve collaborated with teams at Pfizer, Indeed, and Ricoh—high-trust environments where delivery and discretion both matter.
Rumor has it I delegate everything to AI agents. If only—someone still has to read the diffs, own the incidents, and explain the bill to finance.
Experience
Enterprise delivery, real constraints
Outcomes over buzzwords—architecture, reliability, and shipping when stakeholders are watching.
- Pfizer — Scalable applications & platform work. High-compliance environments, rigorous delivery, cross-functional alignment.
- Indeed — Performance and platform-scale engineering. Systems that stay fast at scale—measurement, iteration, and operational discipline.
- Ricoh — Product and infrastructure collaboration. Reliable releases across distributed teams and long-lived codebases.
Somehow they kept trusting me with production systems.
- Architecture that survives change — Modular services, clear boundaries, and patterns teams can extend without a rewrite every quarter.
- Operational maturity — CI/CD, observability, and incident-minded design—so deploys are routine, not adrenaline.
- Stakeholder-ready communication — Translate trade-offs for engineering and leadership—timeline risk without the theater.
Tech stack
Tools I reach for on purpose
A map, not a trophy case—grouped so you can see depth without drowning in logos.
Frontend
JavaScript · TypeScript · React · Angular · Redux · React Native
Backend
Node.js · Express.js · GraphQL · Apollo · C# · Entity Framework · Java
AI / LLM / Agents
OpenAI · Claude · Cursor · LangChain · AI agent orchestration · Prompt engineering · Python · Spark · Pandas
Blockchain
Web3 · Ethers.js · OpenGSN · Gasless transactions · Avalanche · Validators
Cloud
GCP · AWS · Azure
Databases
MongoDB · Mongo Atlas · SQL · MySQL · Redis · TypeORM · Sequelize
DevOps / Infra
GitHub Actions · GitLab CI · Terraform · Pulumi · Docker · Kubernetes · Service Fabric
Observability
Datadog · Sentry
Research / Data
Python · Spark · Pandas · Graph analysis · Clinical data pipelines
Selected work
Projects with receipts
Yes, these are curated to make me look competent. No, I won’t deploy your side project on a dare—unless the scope doc is honest and the pager rotation is real.
- Multi-agent workflow platform — Designed orchestration and evaluation for LLM agents supporting internal tools—routing, retries, and human-in-the-loop when confidence wasn’t negotiable.
LangChain · OpenAI · TypeScript · Observability
- Cloud-native delivery pipeline — Hardened CI/CD and environment strategy on major clouds—faster releases with guardrails that actually get used.
AWS · GCP · Terraform · GitHub Actions · Docker · Kubernetes
- Gasless transaction experience — Integrated OpenGSN-style flows and validator-aware deployments so users weren’t punished by chain friction at signup.
Web3 · Ethers.js · Avalanche · OpenGSN
- Full-stack product modernization — Refactored core services and UI for scale—GraphQL/API boundaries, caching, and pragmatic performance wins.
React · Node.js · GraphQL · Apollo · Redis
- Research-driven data systems — Pipelines and analysis supporting clinical and scientific initiatives—where correctness matters more than hype.
Python · Pandas · Spark · Data quality
Want detail on a specific engagement? Open a thread.
Research & science
Beyond shipping features
Work at the intersection of data, medicine, and public health—high-stakes domains with zero patience for hand-wavy charts.
- Global Online Platform for Genetic Epilepsies (IEEE) — Digital infrastructure supporting collaboration and knowledge sharing for genetic epilepsy research.
- Spanish Epilepsy Education (AAN Abstract) — Education-oriented initiative presented as an abstract at the American Academy of Neurology.
- New Database for Clinical and Genetic Investigation (AAN) — Structured data foundations to advance clinical and genetic investigation workflows.
- Author Impact Using Graph Theory (Research) — Graph-theoretic perspective on authorship and influence—rigor over vanity metrics.
- Honduras Digital Health Surveillance System (NIH) — Public-health oriented digital surveillance—systems thinking for national-scale outcomes.
Contact
Need architecture, AI agents, cloud infra, or someone to blame after deployment?
Let’s build something solid.
- I usually reply within a business day—often faster for the right problem.
- Serious projects welcome. Chaos optional—but documented.