Awinash Kumar
Jaipur National University, Maulana Mazharul Haque Arabic and Persian University, Veer Kunwar Singh University
About
Awinash Kumar is an Independent Researcher and Data Analyst based in Bihar, India. His research sits at the intersection of Data Analytics, Artificial Intelligence, Computer Networking and Cyber Security. He specializes in designing secure, scalable, and privacy-preserving data pipelines, with a strong focus on resolving cloud dependency and data exposure risks in enterprise analytics. Awinash is the architect of AK Aletheo Pro, an open-source, Zero-Trust decentralized desktop application that leverages a dynamic Multi-LLM architecture. His recent published research demonstrates innovative techniques such as "Client-Side Data Decimation" and "Structural Healing," achieving a 68.8x reduction in AI query latency and a 1200x reduction in enterprise analytics costs while maintaining 100% local data privacy. With a background in Cyber Security and expertise in modern software engineering (ReactJS, ElectronJS, TypeScript), Awinash is passionate about building secure, intelligent, and user-centric data systems that transform complex raw data into actionable strategic insights.Research Interests: Advanced Data Analytics, Multi-LLM Architectures, Zero-Trust Systems, Edge Computing, Data Privacy, and Secure Software Engineering.
Employment
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Jaipur National University2018 - 2022
Education
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Maulana Mazharul Haque Arabic and Persian University BLIS2022 - 2024
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Jaipur National University MBA2018 - 2022
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Veer Kunwar Singh University B.Sc2012 - 2015
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Sikkim Manipal University BCA2012 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (5)
- Late Delivery Risk Prediction in Supply Chain: Moving from Reactive to Proactive Delay Management Save
- Predictive Modeling for Course Demand and Revenue Forecasting on Edupro: Moving from Reactive to Proactive Planning Save
- Diagnostic Intelligence in 6G-Enabled Smart Factories: A Predictive Model for Machine Health and Operational Efficiency Save
- <p>Mitigating LLM Token Inflation and Attention Decay Through Client-Side Data Decimation and Structural Healing</p> <p></p> Save
- Behind the Screen: Unmasking Advance-Fee Scams in Fake Gaming Apps Save