class TarangKishor:
def __init__(self):
self.name = "Tarang Kishor"
self.role = "AI/ML Engineer"
self.location = "New Delhi, India ๐ฎ๐ณ"
self.education = "B.Tech (pursuing)"
self.languages = ["Python", "JavaScript", "SQL"]
def get_expertise(self):
return {
"AI/ML": ["Deep Learning", "Computer Vision", "NLP",
"Multi-Agent Systems", "MLOps"],
"Frameworks": ["TensorFlow", "PyTorch", "scikit-learn",
"LangChain", "CrewAI", "XGBoost"],
"Web": ["Flask", "FastAPI", "HTML", "CSS", "JavaScript"],
"Data": ["Pandas", "NumPy", "Matplotlib", "Seaborn"],
"Tools": ["Git", "Docker", "Jupyter", "VS Code"],
"Databases": ["MySQL", "PostgreSQL", "MongoDB"]
}
def current_focus(self):
return [
"Building Smart Incident Prevention AI Agent",
"Learning Generative AI & Advanced NLP",
"Contributing to Open Source AI projects",
"Exploring Vision Transformers & Multi-Agent AI"
]
me = TarangKishor()|
Multi-agent AI system that transforms enterprise incident management by automating detection, analysis, and response workflow. Tech Stack: LangChain โข CrewAI โข Python โข Multi-Agent AI โญ 3 stars |
Comprehensive AI-powered sentiment analysis platform combining machine learning and advanced NLP features. Tech Stack: Python โข NLP โข Machine Learning โข Flask ๐ฏ 86% Accuracy | โญ 1 star |
|
Full-stack ML-driven Flask app that helps evaluate Indian property listings using XGBoost classifier. Tech Stack: Flask โข XGBoost โข Python โข ML ๐ 250K+ Records | โญ 1 star |
Hybrid Attention Vision Transformer combining global self-attention with local convolutional attention for medical images. Tech Stack: Python โข Vision Transformers โข Deep Learning โญ 1 star |
๐ฅ More Awesome Projects
Deep learning solution for Birds vs Drones classification using advanced Computer Vision techniques.
๐ผ ML-Powered ATS
Machine Learning powered Applicant Tracking System for intelligent resume screening.
Deep Learning model for MRI Brain Tumor Classification with high accuracy (โญ2 stars).
Financial risk assessment platform with MLflow experiment tracking for EMI prediction.
ML-based system to identify and classify fish species from images.
Predict delivery times based on distance, traffic, and shipping method.
Data-driven system connecting food providers with receivers to minimize waste.
ML model to classify toxicity in online comments using NLP.


