class Developer:
def __init__(self):
self.name = "Vijay Sai Chigullapally"
self.role = ["Data Engineer", "Machine Learning Engineer"]
self.education = "MS in Computer Science @ University of North Texas"
self.gpa = 4.0
self.interests = [
"Machine Learning & Deep Learning",
"Data Engineering & Big Data",
"Scalable AI Systems"
]
def get_achievements(self):
return {
"ml_performance": "15% accuracy improvement using CNNs & Transformers",
"latency_optimization": "30% inference latency reduction via pruning & quantization",
"data_scale": "Built ETL pipelines processing 500GB+ unstructured data",
"streaming": "Handled 1M+ events/day using Kafka-based pipelines"
}
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mdzh10/FinBot-AI-Powered-Chatbot-For-Personal-Finance-Management
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Biomedical_Image_Classifier
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polyglot-neural-architecture
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Forecasting-Your-Caloric-Expenditure
Forecasting-Your-Caloric-Expenditure PublicCalories Burnt Prediction using XGBoost regression. Estimates individual caloric expenditure from exercise and user attributes (gender, age, height, weight, duration, heart rate, body temperature).…
Python
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