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"
}
Highlights
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AI_NPC_Agent
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mdzh10/FinBot-AI-Powered-Chatbot-For-Personal-Finance-Management
mdzh10/FinBot-AI-Powered-Chatbot-For-Personal-Finance-Management Public -
plant-disease-detection-classification-crop-recommendation
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Biomedical_Image_Classifier
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silver-predictor
silver-predictor PublicAutomated multi-agent daily silver price predictor (SI=F + SLV) — XGBoost ensemble + 5 LLM specialists via Groq. Runs nightly on GitHub Actions, deploys to GitHub Pages.
Python
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