Faizan Arshad

Profile

Passionate AI engineer with an MS in Computer Science and 4+ years of experience building deployable AI solutions. Demonstrated expertise in LLMs, big data analytics, and multimodal AI through academic and professional work—including RAG systems, optimized inference pipelines, and modern AI techniques applied across healthcare, aerospace, and conversational AI.

Experience

• CEO & Co-Founder
  QBrix Solutions · Islamabad, Pakistan · October 2025 – Present

  • Leading a technology solutions company specializing in AI-powered applications, full-stack development, and data analytics for global clients. • Architecting and delivering end-to-end AI solutions including LLM-based chatbots, RAG systems, voice assistants, and workflow automation platforms. • Designing and developing scalable web and desktop applications using Next.js, React, Node.js, Electron, and PostgreSQL. • Building and deploying AI pipelines for document processing, lead qualification, and real-time analytics across healthcare, finance, and logistics. • Managing client relationships, technical roadmaps, and production-ready deliverables with clean code and clear documentation. • Spearheaded HealthDataVitals.com, a U.S. healthcare transparency platform aggregating quality, cost, and performance data.

• AI & Data Science Engineer
  National Aerospace Science & Technology Park · Rawalpindi, Pakistan · April 2023 – June 2025

  • Designed and implemented ML and deep learning models in Python, R, SQL, TensorFlow, and PyTorch for healthcare, finance, and real estate use cases. • Built interactive dashboards with Tableau, Streamlit, and Gradio to visualize model outputs and improve interpretability. • Applied statistical analysis, predictive modeling, and time-series forecasting to support process optimization and decision-making. • Partnered with cross-functional teams on KPIs, model evaluation, and production-ready solutions using MLflow and Docker. • Communicated technical findings to stakeholders, connecting data science insights to business strategy.

• Data Pricing Analyst
  Home Equity Options LLC · USA (Remote) · February 2021 – March 2023

  • Applied data analysis to quantify property insight value and support client decisions. • Assessed Zillow and related data by location, size, price, and value features to identify strong options for clients. • Performed data cleaning and statistical analysis in Python and R to surface high value-for-money opportunities. • Used PropertyRadar and Google Earth–driven feature extraction aligned with client requirements. • Built Tableau dashboards to track changing data and support evidence-based analysis via SQL across databases.

• Visiting Lecturer
  BUITEMS · Quetta, Pakistan · March 2019 – January 2021

  • Taught Computer Programming & Software Applications, Python for Data Science, and R for Data Analysis. • Collaborated with the Business Administration department on IT in Business subjects.

• Freelance Data Science & AI Expert
  Upwork · Remote · February 2021 – Present

  • Partnering with global clients on end-to-end data science, AI, and full-stack delivery from requirements to production. • Core services: ML/AI model development, NLP and LLM solutions (chatbots, fine-tuning), analytics and interactive dashboards, AI-powered automation, and full-stack application development and deployment. • Selected work: anomaly detection in R (recognized for quality), BI dashboards in Excel, Power BI, and Tableau, Node.js and React.js web apps, and big data analytics with R and SQL.

Projects

• HealthDataVitals — U.S. healthcare analytics platform

  Full-stack healthcare transparency platform with React.js and Python dashboards, a PostgreSQL-backed Node.js API, and JSON/XML parsing to visualize U.S. healthcare data across cost, quality, ownership, and performance. Deployed on AWS with Docker for secure stakeholder access. https://www.healthdatavitals.com/

  Technologies: React.js, Node.js, PostgreSQL, Python, AWS, Docker

  Role: Founder & lead engineer

• Multimodal AI assistant

  Voice-controlled AI agent integrating speech-to-text, computer vision, and LangGraph orchestration for complex task automation. https://github.com/faizanarshad/Voice_Chatbot

  Technologies: Python, LangGraph, SpeechRecognition, OpenCV

  Role: Engineer

• Healthcare disease prediction (RAG)

  Containerized retrieval-augmented generation system for medical data analysis with optimized inference and big-data-style analytics pipelines. https://github.com/faizanarshad/Disease_Prediction

  Technologies: Python, Docker, Hugging Face

  Role: Engineer

• E-commerce AI agent

  Agentic workflow automation for customer analytics using LangGraph orchestration and semantic search. https://github.com/faizanarshad/Agentic_RAG_System

  Technologies: LangGraph, vector databases, AWS, Docker, shell scripting

  Role: Engineer

• AI-powered hand gesture drawing

  Application combining hand-gesture recognition (computer vision), voice commands (STT), and AI-assisted shape detection with REST/MLOps-style delivery. https://github.com/faizanarshad/AI-Based-Virtual-Painter

  Technologies: Python, computer vision, REST API, MLOps

  Role: Engineer

Education

• MS Computer Science — thesis: improving validity of disaster-related information by identifying correlation among social media streams
  BUITEMS, Quetta, Pakistan · 2017–2019

Achievements

• Publication: Springer conference proceedings (https://doi.org/10.1007/978-981-15-5232-8_29)
• Google Data Analytics Professional Certificate
• Shipped production AI spanning RAG, voice, and multimodal agents with strong documentation and client communication
• Experience across healthcare transparency (HealthDataVitals), aerospace R&D (NASTP), and global freelance delivery