Saad Arif

Saad Arif

Software Engineer — Full Stack & AI at Alphabase® (formerly Block360)

Islamabad, Islamabad, Pakistan, Pakistan • 0 connections
About
Full-Stack & AI Engineer with production experience shipping LLM-powered agents, real-time systems, and automation tools that have delivered measurable business impact including an 80% reduction in clinic workload and 20+ hours/week saved in sales operations. Proficient across the entire stack (React / Next.js → FastAPI / NestJS → Docker / Azure) and deeply hands-on with LangChain, CrewAI, LangGraph, and RAG pipelines.
Experience
Software Engineer — Full Stack & AI

Alphabase® (formerly Block360)

March 2024 - Present

Current

- Architected and delivered production-grade RESTful APIs and backend services using FastAPI and Express.js, supporting enterprise and healthcare clients at scale. - Worked on FastAPI-based backend modules and integrations for scalable API services, improving maintainability and performance across production systems. - Built high-performance, responsive frontends with React.js and Next.js, improving user engagement across multiple B2B products. - Designed and shipped LLM-powered automation pipelines and AI agents (LangChain, CrewAI) integrated into live business workflows, saving clients 20+ hours/week of manual effort. - Engineered real-time WebSocket and MQTT systems processing live device telemetry and patient health metrics, powering clinician monitoring dashboards with sub-second latency. - Developed Chrome extensions using Plasmo to streamline sales outreach and internal operations, eliminating repetitive tasks for non-technical teams. - Optimised database queries, caching layers, and deployment pipelines (Docker / Azure), improving system reliability and reducing API response times. - Collaborated cross-functionally with product, design, and QA teams in agile sprints to ship enterprise-grade and healthcare-focused solutions on schedule.

Education
B.Sc.

COMSATS University Islamabad

January 2021 - December 2024

Field: Software Engineering

/ Final Year Project — Open House Competition, 2nd Place (Dec 2024)

Skills
Advanced
Azure CrewAI Docker Express.js FastAPI JavaScript LangChain LangGraph NestJS Next.js Node.js Python RAG React.js REST APIs
Intermediate
Bootstrap CSS GraphQL HTML TypeScript
Projects
Rehabilitation Mobile App

January 2026

Built a cross-platform React Native mobile app for patients to track rehabilitation exercises, progress, and health metrics in real time.

Real-Time Rehabilitation Monitoring Platform

January 2026

Developed a real-time backend processing device telemetry and patient health metrics with low-latency clinician dashboards.

TheGivingCube — Charity Fundraising Platform

January 2025

Built a unified platform enabling charities to run campaigns, manage donors, and process donations with integrated payments and real-time reporting.

YouTube Shorts Generator

January 2025

Automated an end-to-end video generation pipeline, eliminating ∼90% of manual editing effort.

QuickComm — Operations Dashboard + Voice System

January 2025

Delivered a real-time operations portal covering orders, reservations, tasks, and menu management with multi-channel communication.

Luqman Clinical Assistant

January 2025

Shipped a WhatsApp-based AI assistant integrated with an EMR system for appointment booking and patient FAQs, reducing clinic administrative workload by 80%.

Zaplead — AI Sales Copilot

January 2024

Built an LLM-powered platform for lead capture, personalised outreach, and proposal generation using LangChain and FastAPI, saving client sales teams 20+ hours/week.

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