Hamza Aziz
Data ScientistAI Product Engineer at VoicePlug Inc.
VoicePlug Inc.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Product Engineer at VoicePlug Inc.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
VoicePlug Inc.
Data Scientist
June 13, 2026 – Present
CCTV-Face-Recognition-Attendance-System
April 14, 2026 – Present
CCTV-Face-Recognition-Attendance-System — GitHub repository
View Projectjetson-edge-ai-deployment
January 17, 2026 – Present
Production-ready AI edge deployment on NVIDIA Jetson (Nano / Orin). This project demonstrates real-time AI inference using TensorRT and DeepStream with multi-camera support, Dockerized setup, benchmarking, and optimized pipelines for CCTV and edge devices.
View Projectai-video-analytics-system
January 17, 2026 – Present
Production-grade AI Video Analytics system for CCTV — supports people counting, intrusion & safety detection with stable alert logic, multi-stream RTSP ingestion, GPU-optimized inference (YOLO, DeepStream, TensorRT), and scalable edge/on-prem deployment.
View Projectbusiness-rag-agent
January 17, 2026 – Present
Production-grade Custom AI Agent using Retrieval-Augmented Generation (RAG). Query business PDFs, databases, and APIs using natural language with grounded, hallucination-free responses. Built with LangChain, Milvus, FastAPI, and enterprise-ready security & deployment.
View Projectvoice-to-sql-ai-assistant
January 17, 2026 – Present
Production-grade AI Voice Assistant that converts natural language (voice/text) into accurate SQL queries for ERP or databases. Handles ambiguity, validates queries, and returns trusted answers. Built for real business systems, not demo chatbots.
View Projectai-face-attendance-system
January 17, 2026 – Present
Production-grade AI face recognition attendance system using CCTV/IP cameras. Real-time detection & recognition with >99% accuracy, multi-camera support, attendance logs, and secure database integration. Deployable on server or NVIDIA Jetson edge devices.
View ProjectMarket-Segmentation-McDonalds
October 15, 2022 – October 15, 2022
Market-Segmentation-McDonalds — GitHub repository
View ProjectAbsenteeism-Prediction
August 25, 2022 – September 21, 2022
Dealing with chronic absenteeism in workplace using machine learning
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on AI/ML, computer vision, and edge deployment, which aligns well with a Data Scientist role. However, the projects are all personal, and there is only one listed professional experience with a future start date, which limits the assessment of collaborative work and broader organizational fit. The diversity of project types (e.g., RAG, voice assistants, video analytics) shows adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a focus on practical, deployable solutions, which is a positive indicator for operational fit.