Shujaatali badami
Independent Researcher
Passionate about data science, research, and technology driven solutions. My work focuses on database optimization, IoT, and machine learning, with published research in IEEE®. Always exploring new ideas to bridge innovation and real-world impact.
Published research
1) Optimizing LSM Tree Operations with Deferred Updates: A Comparative Study
IEEE Xplore®2) Efficient OneM2M Standard Implementation for Lightweight IoT
IEEE Xplore®3) Optimizing Reinforcement Learning in Partially Observable Environments Using Compressed Suffix Memory Algorithm
IEEE Xplore®4) Quantum Bootstrap in Microcanonical Ensembles: Computational Insights and Applications
IEEE Xplore®
Why Reinforcement Learning Fails in Real-World AI & How We’re Fixing It
I Asked ChatGPT to Write a Funny Title About AI Productivity Hacks. Here It Is (Plus 10 Hacks)
The Secret to Smarter AI? It’s Not More Data, It’s Better Memory.
Saving Robots from Their Own Brains: How CSM Ends Data Overload
How Deferred Updates Turned My LSM Tree Into a Speed Demon (And How Yours Can Too)
Hidden Reads: The Silent Killer of Database Performance (And How We Beat It)
Secondary Indexes: Friend or Frenemy? (Inside Deferred Updates)
Deferred Compaction: Why ‘Later’ Is the Secret to Faster Databases
Tuning the LSM Tree: How Smart Parameters Can Supercharge Your Storage Engine
As seen on
Contact
Open to research discussions & collaborations!
Thank you
About Me
Shujaatali Badami is a researcher, technologist, and data scientist specializing in database optimization, Internet of Things (IoT), and machine learning. I combine a strong academic background with practical experience in data-driven research, system optimization, and AI-powered solutions.---Academic Background◾️ MSc in Data Science – Liverpool John Moores University, UK
◾️ MBA – Deakin University, Australia
◾️ Postgraduate Diploma in Management – IMT Ghaziabad
◾️ Executive Postgraduate Programme in Data Science – IIIT Bangalore---Research & PublicationsI have published peer-reviewed research papers, mainly through IEEE®, focusing on:◾️ LSM trees & database performance tuning
◾️ OneM2M & IoT frameworks for scalable M2M communication
◾️ Machine learning & reinforcement learning
◾️ Quantum bootstrap methods & quantum-enhanced M2M👉 ORCID: 0009-0003-5262-021X
👉 Articles: Medium
👉 Personal Website: shujaatalibadami.com---Technical Skills & Expertise◾️ Data Science & Machine Learning – Predictive modeling, deep learning, and data mining.
◾️ IoT & M2M Systems – Designing scalable smart solutions and industrial IoT frameworks.
◾️ Database Optimization – Specializing in LSM Trees, indexing, NoSQL, and SQL tuning.
◾️ Artificial Intelligence & Quantum Computing – AI-driven optimization and emerging quantum algorithms.---I follow a research-driven approach to developing scalable, efficient, and future-ready solutions.Connect and explore my work:
LinkedIn | IEEE | ORCID | Medium | Personal Website