
rayapati likith
@rayapatilikith
I build machine learning and IoT prototypes for real-world detection and automation.
What I'm looking for
I'm building end-to-end machine learning and IoT prototypes, from exploratory analysis and feature engineering to model evaluation and sensor-based implementation. My current research investigates a hybrid RNN–SNN intrusion detection framework for IoT networks using CICIoT2023 and ToN-IoT datasets.
I developed a bike-sharing demand prediction pipeline that achieved R² = 0.928 with Random Forest, alongside Arduino-based smart glove and irrigation systems. I enjoy connecting AI with hardware to create practical systems, including a hackathon-winning automated irrigation and fertilization project.
Experience
Work history, roles, and key accomplishments
Ongoing Research
Amrita Vishwa Vidyapeetham
Investigating a Hybrid RNN–SNN intrusion detection framework for IoT networks using CICIoT2023 and ToN-IoT datasets. Exploring adaptive feature selection, attention-based RNNs, adaptive spike encoding, and improved SNN neurons to enhance detection accuracy and energy efficiency.
Education
Degrees, certifications, and relevant coursework
Amrita Vishwa Vidyapeetham
Bachelor of Technology, Computer & Communication Engineering
Grade: 8.82/10
Pursuing a B.Tech in Computer & Communication Engineering with a CGPA of 8.82/10, expected to graduate in 2028.
Availability
Location
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