ROLE="AI & Backend Engineer"
EXPERIENCE="LLM pipelines · RESTful microservices · cloud-native infrastructure"
DOMAIN="Fintech  |  AI/ML  |  SaaS  |  Edtech"
STACK="Python · TypeScript · Node.js · React · AWS · Docker · K8s · LLMs"  
OPEN_TO="SWE Intern  ·  AI/ML Intern  ·  Backend Developer  ·  Full-Stack Developer"

Building production systems where AI meets infrastructure - LLM inference on AWS Lambda, containerized microservices, fintech apps with agentic AI. First-year CS · NUST · 3.77 GPA.

[ Languages ]

[ Frontend ]

[ Backend & API ]

[ Cloud & DevOps ]

[ Databases ]

[ AI & ML ]

[ AI Platforms ]

[ Platforms & Tools ]

FlyRank AI · Backend AI Engineer · Remote
June 2026 - Present

  • Boosted AI content ranking accuracy by 35% (A/B test) by engineering LLM pipelines on AWS Lambda + S3
  • Deployed scalable serverless inference pipelines for real-time AI content ranking at production scale
  • Reduced backend API latency by 40% (profiler) by building RESTful Node.js/Express microservices on AWS EC2
  • Containerized all microservices with Docker for consistent reproducible deployment environments
  • Cut deployment time by 50% (sprint log) via automated CI/CD with GitHub Actions + Kubernetes
  • Achieved zero-downtime rollouts using Kubernetes rolling update strategies

  Python  Node.js  AWS Lambda  Docker  Kubernetes  GitHub Actions  LLMs

NUST CS Society (NCSS) · Development Lead & President · Karachi
April 2025 - Present

  • Scaled membership 40% (sign-up data) by designing a full-year Agile/Scrum roadmap of 6+ events per semester
  • Deployed society site on AWS S3 + Vercel with automated builds and responsive cross-browser UI
  • Cut event setup time by 30% (ops log) by automating infrastructure via CI/CD GitHub Actions
  • Integrated Salesforce CRM for member engagement tracking and data-driven event planning

  React  AWS S3  Vercel  Salesforce  GitHub Actions  Agile/Scrum

NUST Robotics & AI (NRAI) · Software Engineer · Karachi
September 2025 - Present

  • Reduced integration defects by 30% across 3 prototypes via modular Python/Node.js components
  • Integrated TensorFlow inference and Pandas/NumPy data pipelines into AI automation prototypes
  • Accelerated prototype delivery by 25% (sprint velocity) by containerizing services with Docker + Kubernetes on AWS EC2
  • Improved codebase maintainability by 20% (peer review) via RESTful API design and CI/CD pipelines
  • Maintained technical documentation across all prototypes with Git branching workflows

  Python  TensorFlow  Docker  Kubernetes  AWS EC2  REST API

currently:
  building:
    - AUTO CFO: AI-powered financial twin with tax filing, scenario simulation, agentic AI chat
    - Serverless LLM inference pipelines at production scale on AWS infrastructure
  learning:
    - Advanced Kubernetes orchestration & Helm charts
    - Production MLOps pipelines & model deployment
    - System design for scalable fintech platforms
    - Salesforce Apex & Lightning Web Components
  exploring:
    - Agentic AI workflows with LangChain & multi-agent orchestration
    - Real-time data streaming with WebSockets & Redis
    - AI content ranking optimization via A/B testing frameworks
  open_to:
    - Software Engineering Intern (Summer 2027)
    - AI/ML Engineering Intern
    - Backend Developer Intern
    - Full-Stack Developer Intern

"Systems that ship. Metrics that move. Code that scales."