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Ashar FiazAF
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Ashar Fiaz

@asharfiaz

I build full-stack SaaS, AI, and Web3 products with MERN and FastAPI.

Pakistan
Message

I'm re-architecting Escalo.ai's legacy Laravel monolith into a multi-tenant FastAPI and Next.js SaaS platform for Australian NDIS disability-support and home-care providers.

I design MySQL schemas and REST APIs, migrate provider workflows, and build modules for participant records, rostering, timesheets, payroll, invoicing, compliance, and document handling. I've also integrated Xero and the official NDIS Support Catalogue.

At APT Global Solutions, I helped consolidate three legacy tools into a unified AWS-deployed internal platform used by 40+ UK fibre infrastructure staff, including attendance, vehicle inspection, survey, and reporting workflows.

I've also built AI and blockchain products from the ground up, including AURA's FastAPI personality-vector service, Qdrant recommendations, ERC-721 smart contracts, and Three.js memory experience. I take features from schema design through React interfaces to AWS deployment.

Experience

Work history, roles, and key accomplishments

AL

Software Developer (Project-Based)

APT Global Solutions Ltd

Jan 2026 - Jun 2026 (5 months)

Delivered a unified internal management platform for a UK fibre infrastructure company on a project basis, folding three separate legacy tools into one system. Reported to a technical lead and contributed to both architecture decisions and day-to-day feature work.

SE

Freelance Full Stack Developer

Self Employed

Oct 2025 - Nov 2025 (1 month)

Built a secure contract management platform with encrypted document storage on AWS S3, using AES-256 so stored files met compliance-grade confidentiality requirements. Built on the MERN stack with REST APIs, JWT authentication, and MongoDB behind it, covering the contract lifecycle from creation through to archive.

Education

Degrees, certifications, and relevant coursework

COMSATS University Islamabad logoCI

COMSATS University Islamabad

Bachelor of Science, Computer Science

Grade: 3.7 / 4.0

Bachelor of Science in Computer Science with a CGPA of 3.7/4.0, including coursework in data structures, algorithms, database systems, web development, software engineering, OOP, machine learning, computer vision, and mobile app development.

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