Own the full journey
From interface and API contracts to data models, payments, and production behavior.
I’m Parakh Jain, a full-stack software engineer with around 4 years of experience building production web products, reliable APIs, and distributed systems—from the interface to the infrastructure.
I care about how software behaves after it ships—not just how quickly the first version gets built.
At Walkover, I build product features across viaSocket, gtwy.ai, and Embarko—from React interfaces and APIs to data models, integrations, and production systems.
I enjoy owning features end to end, keeping architecture practical, and improving performance and reliability where it matters.
From interface and API contracts to data models, payments, and production behavior.
Use measured bottlenecks and user impact to guide performance work.
Keep boundaries clear, shared logic reusable, and failure impact contained.
A selection of production work across workflow automation, platform infrastructure, and real-time applications.
An AI-powered platform for connecting apps and automating repetitive work without code.
Focus: turning user intent into executable workflows across third-party integrations.
Impact: React Query improvements reduced perceived dashboard load times by about 35%. Redis and RabbitMQ work reduced API latency by about 40%.
A managed platform for embedding AI agents, RAG workflows, and chatbots into products.
Focus: one API for multiple model providers, with streaming, fallback behavior, and request-level cost visibility.
Impact: the gateway onboarded 50+ beta clients with under 30 minutes average integration time. The resume separately reports company-wide use by 500+ enterprise clients.
A deployment platform that helps AI agents ship apps to a live URL without manual hosting setup.
Problem: AI-built apps still need a straightforward path to build, run, and share online.
Product: Embarko handles deployment and hosting so developers can focus on building. Specific individual engineering contributions are not detailed here because they are not documented in the supplied resume.
Company work is described at a high level; private source code is not presented as public work.
Grouped by the engineering work they help me do—not arbitrary proficiency percentages.
Building interactive product experiences, managing server state, and structuring reusable UI logic.
Designing service boundaries, API contracts, integrations, and event-driven workflows.
Modeling application data and using caching and asynchronous processing where appropriate.
Working with containerized services and cloud platforms that support production applications.
Improving responsiveness, queue behavior, execution boundaries, and observability.
An additional strength: connecting model providers and building useful AI-enabled workflows.
Production product engineering at Walkover, across workflow automation and AI platform systems.
Selected metrics reported in my resume. Each is tied to a specific engineering change.
Introduced Redis caching and RabbitMQ asynchronous queues across three core microservices.
Resume-reported resultRebuilt dashboard data-fetching with React Query to eliminate redundant refetching.
Resume-reported resultBuilt a single-script chatbot embed, reducing client integration from around three days to under two minutes.
Resume-reported resultA few habits that guide how I approach product and platform problems.
Clarify the user need and constraints before choosing an implementation.
Use understandable API contracts and service boundaries that can evolve.
Improve performance based on observed behavior and meaningful outcomes.
Think through failure paths, maintainability, and production behavior—not just the happy path.
I’m interested in full-stack and product engineering opportunities with international teams building thoughtful, production-grade software. If my experience could be useful to your team, I’d like to hear from you.