AI/ML Researcher crafting the future with neural networks & signal processing β¨
class SreenijaCodes:
def __init__(self):
self.current_focus = ["EEG Signal Processing", "Neural Networks", "Speech Recognition"]
self.vibe = "Turning brain signals into intelligent systems π§ β‘"
self.location = "Los Angeles, CA π΄"π― 94.3% accuracy crushing EEG stress detection
π 40% faster 5G deployments through ML magic
πͺ 98% precision in speaker identification systems
π RMSE 38.85 air quality prediction model
π 98% accuracy recommendation engine
π¬ IEEE Sensors Reviews - ASR Systems Analysis
π§ IEEE Sensors Letters - Parkinson's EEG Detection
β‘ IEEE CSITSS 2024 - MAESTRO CNN Architecture
Because publishing cool research is what we do π
π
AWS AI/ML Scholarship Winner
π Microsoft Founders Hub Grant Recipient
π₯ IEEE Coding Competition 2nd Place (200+ devs)
π― KubeCon 2023 Full Scholarship
π Open Source Contributor (GSSoC 2023)
