Mr. Rajan Mani
B.Tech | M.Tech | Ph.D. (Pursuing) — Researcher, Academic, Full Stack Developer
ResumeMr. Rajan Mani is a passionate academician and researcher with over 15 years of experience in teaching and development. His interests include Machine Learning, Federated Learning, and Edge Computing, along with expertise in full stack web development and data-driven research solutions.
Ph.D. (Pursuing)
Computer Science & Engineering
Focus: Federated Learning & Edge ComputingM.Tech
Computer Science & Engineering
Specialization: Machine LearningB.Tech
Information Technology
Graduated with Honors- Machine Learning & Deep Learning (TensorFlow, Keras, Scikit-Learn)
- Federated Learning & Edge Computing
- Full Stack Development (HTML, CSS, JS, Node.js, React, MongoDB)
- Python, C, C++, SQL
- Research & Academic Writing
My ongoing research focuses on developing privacy-preserving and communication-efficient models in Federated Learning environments using Edge Computing. I aim to enhance model convergence and security while minimizing data exposure across distributed systems.
Privacy-Preserving Algorithms
Implementation of secure aggregation methods for federated networks using homomorphic encryption.
Edge-based Model Optimization
Designing adaptive compression and local update strategies to improve communication efficiency.
AI-driven Data Analytics
Developing intelligent pipelines for large-scale data analytics integrated with edge computing frameworks.
Reach out for collaboration, lectures, or research consultation.
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