Experience
2+ Years
Vinay Khosya
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Introduction
Applied Machine Learning Engineer • AI Systems
Applied Machine Learning Engineer with 1.5+ years of industry experience building and deploying production-grade systems across industrial automation, healthcare AI, and cybersecurity.
Projects
11
Domains
AI • Cyber • Health
Achievements
11+
Proof of Work
Featured Projects
Start here for the strongest technical signal. Each project page includes architecture, implementation decisions, and outcomes.
AI / ML
GuardEye — Offline AI Malware Scanner
AI-powered offline malware detection system for Android devices developed during internship with Haryana Police Cybersecurity Department.
- Python
- PyTorch
- ADB
- OCR
- ESP32
Systems / Infra
SecondLife — Persistent Memory AI Assistant
A local LLM system with long-term memory designed to preserve context across months using FAISS and retrieval-augmented generation.
- Python
- Local LLM
- FAISS
- RAG
- PDF Parsing
- Speech-to-Text
Embedded / Hardware
ESP-Based Edge AI Voice Recognition System
An embedded AI system that runs a quantized neural network on ESP hardware for real-time animal sound classification and web visualization.
- ESP32
- TinyML
- Quantized Neural Network
- Audio Feature Extraction
- Wi-Fi
- Web Dashboard
Embedded / Hardware
Project Blaze — Smart Emergency Alert Ring
A wearable IoT safety ring that sends emergency alerts and live location using LoRa with satellite fallback in network-deficient regions.
- ESP32
- NEO-6M GPS
- RFM95W LoRa
- Satellite Communication
- Pressure Sensor
- Li-Po Battery
- Cloud Alerts
- Mobile App
Explore in Order
A logical walkthrough
Follow this sequence for the fastest understanding of profile, capability, proof, and contact.
1. About
Background and focus
Who I am, what I build, and the domains I care about.
2. Experience
Execution in real teams
Industry roles, production systems, and responsibility scope.
3. Achievements
Recognition and outcomes
Milestones, rankings, demos, and impact metrics.
4. Contact
Start the conversation
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