
Designing Full AI Receptionist Systems
How Neural Scale approaches voice-enabled AI receptionists for calls, appointments, and customer queries.

Electrical Engineering student at NUST (CGPA 3.85) with hands-on experience in FPGA design, embedded systems, AI automation, and intelligent workflow engineering. Co-founder of Neural Scale — delivering cutting-edge AI and engineering freelance services.
AI automation, FPGA design, and embedded engineering services for teams that need practical systems built well.
Custom AI-powered receptionist systems that handle calls, appointments, and customer queries 24/7 - fully automated and voice-enabled.
Intelligent chatbots for websites, WhatsApp, and apps - trained on your business data for accurate, context-aware responses.
End-to-end business automation using n8n - connecting your apps, APIs, and databases to eliminate repetitive tasks and save hours daily.
Custom automation pipelines and system integrations for businesses looking to scale operations without scaling headcount.
RTL design, Verilog development, and FPGA implementation on platforms including Intel DE1-SoC and DE10. From datapath logic to VGA controllers and cryptographic cores.
Microcontroller-based hardware solutions, sensor integration, signal conditioning, and real-time data acquisition systems.
Selected AI, FPGA, embedded, and research projects.
Hands-on engineering, social development, and technical delivery experience.
Designed and tested FPGA modules on Intel DE1-SoC using Verilog.
Coordinated youth participation in the Digital Summit.
Service work and technical initiatives from Neural Scale.
Notes on AI automation, FPGA systems, and engineering delivery.
Technical strengths across AI, automation, FPGA, and embedded systems.
n8n, LLM Integration, AI Agents, Workflow Automation, Voice AI, Chatbot Development
C/C++, MATLAB, Python, Assembly, Verilog
Intel DE1-SoC, DE10, Quartus, ModelSim, RTL Design, Arduino
Digital Logic, Machine Learning, Signal Processing, Computer Architecture, Cryptography
Proteus, Multisim, AutoCAD, PSpice, LabVIEW, Atmel Studio
Academic foundation in electrical engineering, digital systems, and intelligent automation.
National University of Sciences and Technology (NUST)
Aug 2023 – Sept 2027
CGPA: 3.85 | Merit Scholarship | Dean's Honor List (4x)
Hamza (APSACS), Pakistan
2021 – 2023
Focused learning across AI, machine learning, and computer architecture.