Mohsin IqbalProduct-minded Full-Stack Engineer
60-second view
Pakistan · Open to global remote opportunities

I build the whole path, not just the visible layer.

Product-minded Full-Stack Engineer

5+ years building production systems across React and Next.js, Node.js and TypeScript, AWS, integrations, and applied AI.

View selected workDownload résuméEmail Mohsin
Selected work · 04

Work that shows the full path.

Four projects showing product judgment, hands-on implementation, and responsibility across system boundaries.

  1. 01
    Anonymized client engagement · Security software

    Vulnerability Intelligence Platform

    Turn fragmented vulnerability data into an actionable remediation workflow.

    Contribution
    Built product-facing remediation features across React and Go, integrated Bedrock-backed LLM output, shaped PostgreSQL data flows, and supported AWS delivery.
    Result
    Shipped remediation workflow capabilities across product, services, data, AI, and cloud delivery
    • Frontend architecture
    • APIs and integrations
    • Cloud delivery
    • Applied AI
    View project →
  2. 02
    Anonymized client engagement · HR technology

    Payroll Integration Platform

    Make sensitive payroll integrations dependable across asynchronous, failure-prone boundaries.

    Contribution
    Engineered and operated payroll and recordkeeper integrations end to end, including Node.js and TypeScript services, Cognito-secured APIs, AWS infrastructure, and CloudWatch observability.
    Result
    Delivered and operated assigned production integration workflows
    • APIs and integrations
    • Cloud delivery
    • Reliability
    • Technical ownership
    View project →
  3. 03
    Anonymized professional work · SaaS platform

    Public Safety Workforce Platform

    Compliance-bound products need isolation without fragmenting the engineering model.

    Contribution
    Delivered the isolated cloud environment, adapted shared application behavior to restricted services, and added scoped machine access, observability, and release-drift controls.
    Result
    Delivered an isolated government cloud environment
    • Product engineering
    • GraphQL
    • React
    • AWS
    View project →
  4. 04
    Anonymized professional work · Applied AI

    AI Compliance Intelligence Platform

    LLM scoring becomes useful only when ingestion and failure isolation are dependable.

    Contribution
    Hardened concurrent ingestion with database-enforced uniqueness, isolated scheduled failures per item, improved the LLM prompt runner, and added preflight checks for production scripts.
    Result
    Hardened concurrent ingestion
    • Ruby on Rails
    • React
    • PostgreSQL
    • LLM APIs
    View project →
View all ten projects →
Experience

Scope earned through delivery.

Aug 2025 - Present

Software Engineer

Codlinx

Architects and develops scalable full-stack web applications across Next.js, React, NestJS, cloud infrastructure, and applied AI.

Oct 2021 - Aug 2025

Software Developer

Stack System Technologies (SMC-Private) Limited

Built and shipped full-stack web products, backend APIs, authentication flows, scheduled jobs, and cloud deployments.

Read the complete experience record →
Skills · linked to work

The stack, connected to delivery.

Each capability points to a project where it shaped a real product or engineering decision.

Relevant work · 03

Languages and foundations

  1. 01
    Vulnerability Intelligence Platform

    Turn fragmented vulnerability data into an actionable remediation workflow.

    Qualitative: shipped product capabilities across the remediation workflow and its supporting platform.
  2. 02
    Payroll Integration Platform

    Make sensitive payroll integrations dependable across asynchronous, failure-prone boundaries.

    Qualitative: delivered and operated assigned integration workflows in a production environment.
  3. 03
    Battery Telemetry Analytics Platform

    Large telemetry systems need both fast historical queries and a live operational view.

    Reduced load time on the heaviest analytical views to under 30 seconds while preserving real-time visibility.
Working method · AI-assisted engineering

From ambiguity to owned delivery.

AI can accelerate the work. Responsibility stays with the engineer.

  1. Clarify the user, system boundary, constraint, and expected outcome before choosing an implementation.

  2. Question the brief, the AI, and my own model until uncertainty is visible and the decision can be defended.

  3. Use focused skills and agents to research, implement, and inspect bounded parts of the work without giving up context.

  4. Read every material change, verify it against product intent, exercise failure paths, and remain responsible for what ships.

Field note · System architecture

Designing Reliable Multi-Tenant Systems Across Application and Infrastructure Boundaries.

A practical framework for preserving tenant boundaries across APIs, data, background work, infrastructure, observability, and delivery.

Read the note →