VIBHOR JOSHI
Machine Learning Engineer | AI Innovator | Full Stack Developer
Building AI Solutions for Tomorrow
Computer Vision | GeoAI | Healthcare AI | Transforming Data into Intelligent Systems
STATUS: ONLINE
MODE: INNOVATION
AVAILABILITY: OPEN
LOCATION: INDIA 🇮🇳
🚀 The Neural Architect
class VibhorJoshi:
def __init__(self):
self.name = "Vibhor Joshi"
self.role = "Machine Learning Engineer"
self.education = "B.Tech (Pursuing)"
self.location = "India 🇮🇳"
self.languages = ["Python", "JavaScript", "TypeScript", "C++"]
def get_expertise(self):
return {
"primary": ["Computer Vision", "GeoAI", "Deep Learning"],
"secondary": ["Gesture Recognition", "Medical Imaging", "Web ML"],
"tools": ["PyTorch", "TensorFlow", "OpenCV", "Flask", "React"]
}
def current_focus(self):
return [
"🧠 Advanced Medical Image Analysis",
"🌍 GPU-Accelerated Geospatial AI",
"🎮 Real-time Gesture Recognition Systems",
"🔬 Healthcare AI Applications",
"🌐 Scalable ML Deployment Solutions"
]
def achievements(self):
return {
"model_accuracy": "90%+ (Medical Imaging)",
"processing_speed": "~100ms (Duplicate Detection)",
"automation_gain": "50% (File Management)",
"deployment": "Multi-platform (Web + Desktop)"
}
90%+
Medical AI Accuracy
~100ms
Processing Speed
50%
Automation Gain
6+
Production Apps
10x
GPU Optimization
Multi
Platform Deploy
Skills
💻 Programming Languages
🤖 Machine Learning
🌐 Web Frameworks
📊 Data Technologies
🔧 Hardware & IoT
🛠️ Development Tools
Featured Projects
Professional Experience
Python Developer Intern
Jun 2024 – Aug 2024
Ministry of Home Affairs, New Delhi, India
- Developed Personal Identification System for extracting key details from Aadhaar, PAN, and Passport documents using advanced OCR technologies
- Implemented multiple OCR techniques including Tesseract, EasyOCR, and PaddleOCR for enhanced text recognition with cross-validation accuracy testing
- Fine-tuned pre-trained OCR models on Google Colab using custom dataset for improved Indian ID card recognition precision
- Built and deployed Streamlit-based user interface with real-time processing capabilities for streamlined document validation workflows
Artificial Intelligence Intern
Mar 2024 – May 2024
National Informatics Centre (NIC), New Delhi, India
- Developed real-time anomaly detection system for monitoring government infrastructure logs using machine learning algorithms
- Built automated log monitoring pipelines using ELK Stack (ElasticSearch, Logstash, Kibana) with custom dashboards and alerts
- Designed AI-based alerting system with threshold optimization to reduce manual log analysis efforts and minimize false positives
- Optimized log retrieval and processing workflows for large-scale infrastructure monitoring handling terabytes of daily logs