FARRUKH MUMTAZ

AI Developer Intern

Aixon • Onsite

• Developed real-time object detection systems using YOLO and OpenCV.
• Fine-tuned and benchmarked Vision-Language Models (VLLMs) for production.

AI Employee Suite

• Autonomous multi-agent workforce suite for enterprise task delegation, document processing, and workflow automation.
• Integrates LLM-powered cognitive agents with real-time analytics and reporting protocols.

AI Twin System

• Built a voice cloning & conversational mimicry system using fine-tuned Transformers and RAG architecture.
• Integrated speech synthesis with an end-to-end NLP pipeline for personalized responses.

WhatsApp Bot for Businesses

• Automated business customer support and order management chatbot integrated with WhatsApp API.
• Utilizes NLP intent recognition for instant automated query handling and CRM syncing.

Android Security App

• Real-time mobile security scanner and malware behavior analyzer for Android devices.
• Monitors system permissions, detects suspicious app activities, and enforces privacy safeguards.

AI Resume Analyzer

• Automated resume parsing and job matching using NLP embeddings and LLMs.
• Generates candidate match scores and actionable skill gap recommendations.

AI Emotion Detector

• Real-time facial expression and emotion recognition system using deep CNNs and OpenCV.
• Accurately classifies facial micro-expressions into 7 core emotion states.

AI Inventory Management

• Smart demand forecasting and automated replenishment using time-series ML models.
• Optimizes warehouse inventory levels and minimizes stockout occurrences.

Stock Recommender System

• Predictive market analyzer leveraging historical financial data and LSTM neural networks.
• Delivers automated buy/sell signals and risk-adjusted portfolio recommendations.

Parking Booking System

• Automated slot reservation platform integrated with real-time camera occupancy tracking.
• Provides driver navigation, instant slot booking, and automated entry management.

Fire Detector & Alarm System

• Real-time computer vision system for early flame and smoke detection from surveillance feeds.
• Triggers instant emergency alert notifications and automated alarm protocols.