Shubham Divesh · Backend systems · Product engineering
Senior backend engineer with seven years of production experience across APIs, distributed workflows, search, caching, real-time systems, background processing and cloud delivery. I turn complex product requirements into reliable, maintainable platforms.
Professional experience
A career path from application engineering to ownership of performance-critical backend systems.
Independent work
Supporting evidence of end-to-end ownership across product architecture, deterministic computation and reusable infrastructure.
A full-stack trek planning and preparation product spanning goals, training, GPX analysis, readiness, expeditions, progression and storytelling—designed and shipped from schema to deployment.
Architecture laboratory
The technical depth is available when you want it—without forcing every visitor through a wall of implementation detail.
CQRS, durable queues, search and AI subsystems connected through explicit boundaries.
A deterministic Python core separated from networked product services.
A compact resilience library exploring bounded work, cancellation and observability.
Engineering judgment
Technology choices become useful evidence when the constraint, trade-off and resulting behavior are visible.
Decision 01
AI generation, recommendations, achievements and document exports leave the request lifecycle and run as observable jobs with retries and failure states.
Capabilities
Grouped by the problems I solve—not an undifferentiated wall of technology badges.
Concurrency control, backpressure, queues, events, failure recovery and service boundaries.
Production Node.js and Python services with secure, observable APIs.
Models and indexes chosen around product access patterns rather than fashion.
From local design to deployment, metrics, queues and failure diagnostics.
AI-native engineering
I use AI tools as part of a disciplined engineering loop—not as a substitute for architecture, validation or ownership.
Implementation accelerator
Repository-scale exploration, implementation, refactoring, test execution and verification—always against explicit acceptance criteria.
Design and review partner
Alternative analysis, architecture critique and a second perspective on complex changes before they become release decisions.
Production capability
Grounded context, structured outputs, asynchronous execution, validation, observability and fallbacks around probabilistic behavior.
Delivery loop
ENGINEER · EXPLORERBeyond the terminal
About the engineer
I care about the choices that make software trustworthy after launch: explicit boundaries, bounded work, observable failure and data models that fit the product.
I use Codex and Claude Code as engineering accelerators for codebase exploration, implementation, refactoring and review. I keep ownership of problem framing, architecture, safety constraints, testing and every release decision.
I also integrate LLM capabilities into products through explicit contracts: structured outputs, grounded context, asynchronous jobs, observability, fallbacks and deterministic validation around probabilistic models.
The outdoor disciplines matter for the same reason engineering does: preparation, honest feedback and good judgment under changing conditions.
Let's build something durable
I'm open to roles where system design, reliability and end-to-end product thinking matter.