Backend-Heavy AI-Native Full-Stack Engineer
I design and ship AI-native systems with clean architecture, scalable backend infrastructure, and modern product experiences.
Full-stack software engineer focused on production-grade APIs, backend services, data models, React/Next.js product surfaces, AI-accelerated workflows, clean architecture, and elegant user experiences.
Selected work
Backend-heavy systems and product surfaces with architecture behind the interface.
A focused collection of work that shows product thinking, backend architecture, database-aware execution, and full-stack delivery across web, mobile, and real-time systems.
Backend-heavy full-stack engineerBuilt analytics services and product surfaces for real-time golf performance insights, including Stroke Gained Analytics and smart hardware integrations.
Problem solved
Turn sensor and round data into useful performance decisions for golfers.
Backend-heavy full-stack engineerDelivered operational React interfaces backed by Node.js APIs, REST integrations, and data-heavy logistics workflows for freight forwarding and brokerage teams.
Problem solved
Make complex shipping, brokerage, and logistics workflows easier to operate digitally.
Full-stack engineerBuilt real-time call-management interfaces, analytics views, and backend services around Amazon Connect and AWS serverless infrastructure.
Problem solved
Unify calls, emails, messages, dashboards, and supervisor controls in one interface.
Full-stack and mobile contributorContributed across web, backend, and mobile surfaces for automated error-checking, reporting, and controlled-substance workflows.
Problem solved
Reduce manual record-keeping risk for regulated veterinary practices.
Engineering case studies
I explain the backend, data, and product decisions behind the result, not just the stack used to build it.
Arccos Golf
Gameplay intelligence for connected golf hardware.
Designed for high-throughput event processing, reliable metric calculation, and product-facing analytics that remain understandable to non-technical users.
Constraint
Connected-club data had to become trustworthy analytics without slowing down round-level product experiences.
Result
Shipped scalable services for Stroke Gained Analytics, partner hardware integrations, and clearer performance insights.
BBE Logistics
Operational tools for freight and supply-chain teams.
Prioritized dense operational UI, predictable flows, and data clarity over decoration because logistics users repeat the same tasks under time pressure.
Constraint
Freight workflows needed fast data entry, accurate shipment state, and clean handoffs across brokerage and operations teams.
Result
Built backend-aware product flows that made complex logistics tasks easier to scan, update, and operate repeatedly.
Omningage
Real-time communication workspace for call centers.
Balanced low-latency agent interactions with supervisor visibility, backend reliability, and a UI that keeps call-state transitions obvious.
Constraint
Call center agents needed real-time state changes, Amazon Connect events, and supervisor analytics without confusing active conversations.
Result
Delivered a unified communication workspace with reliable call controls, dashboards, and backend services around AWS serverless systems.
VetSnap
Compliance workflows for veterinary controlled-drug logs.
Worked within compliance-sensitive constraints where data correctness, auditability, and plain user flows mattered more than clever UI.
Constraint
Controlled-substance records required audit-friendly workflows, error prevention, and consistent behavior across web and mobile surfaces.
Result
Improved compliance workflows with automated checks, reporting support, and maintainable full-stack features for veterinary teams.
AI workflow
How I use AI to ship better software.
I use AI agents for backend scaffolding, API refactors, data-model iteration, UI exploration, documentation, tests, and code review support.
I do not blindly ship generated code. Human judgment stays on architecture, security, data correctness, maintainability, performance, and user experience.
My workflow combines Claude, Codex, GPT models, design references, manual review, and iterative implementation.
Idea
Architecture
AI-assisted implementation
Human review
Testing
Production
Engineering capabilities
The value is in backend systems, full-stack delivery, workflow, and product judgment.
Backend-heavy product engineering
Building APIs, services, data models, and product surfaces together so the system works beyond the UI.
Node.js, Nest.js, and Bun systems
Production backend services, REST APIs, server-side TypeScript, and runtime choices matched to the workload.
Database design
PostgreSQL, MySQL, MongoDB, Prisma, migrations, query tuning, and data flows that stay maintainable.
Full-stack interfaces
React, Next.js, Angular, Electron, and UX engineering connected to backend constraints and real workflows.
Cloud and serverless architecture
AWS Lambda, API Gateway, GCP, Docker, observability, and reliability patterns for production systems.
AI-assisted engineering velocity
Using AI agents for scaffolding, refactoring, tests, docs, and review while keeping architecture human-led.
Engineering principles
The standards I use when the work gets ambiguous.
AI accelerates execution, not judgment.
Simple systems scale better than clever ones.
Good UX is part of engineering quality.
Readable code beats impressive code.
Architecture should serve the product, not ego.
About Talal
Backend-heavy AI-native full-stack engineer with production history across APIs, databases, web, mobile, and desktop-grade systems.
I am a software engineer focused on backend-heavy full-stack product work with Node.js, Nest.js, Bun, React, Next.js, Angular, PostgreSQL, MySQL, MongoDB, and AI-accelerated engineering workflows. I care about clean architecture, thoughtful UX, and shipping systems that are maintainable in the real world.
Sr. Software Engineer
UcardiaNov 2025 - Present
Sr. Software Engineer
TenXJuly 2021 - Nov 2025
Software Engineer
IcommunixAug 2020 - June 2021
Software Engineer
Augit TechnologiesFeb 2019 - July 2020
Contact
Let's build something serious.
Available for backend-heavy full-stack engineering roles, AI-native product work, APIs, databases, and complex product systems.
Lahore, Punjab, Pakistan