Shubham Malaviya
Researcher. Engineer. Problem Solver.
AI & Cybersecurity Researcher with 6+ years of experience building AI systems in Federated Learning, Data Quality, and Threat Intelligence. Published research at top venues (ACM CCS, SIGMOD, SAC, CoLLAs) with multiple patents as lead inventor. Skilled at translating cutting-edge AI research into actionable insights.
About Me
Quick Facts
Current Role
Scientist at TCS Research
Education
M.Tech in ICT (Sp. Machine Learning), DAIICT (2017-2019)
B.E. in I.T, L.D. College of Engineering (2013-2017)
Recent Achievement
📑 Patent granted in EPO
🎓 Paper Accepted at ACM CCS
👥 Review Committee member at ACM SAC
Languages
Interests
Skills
Driving AI-powered cybersecurity innovation through 6+ years of applied research in Data Privacy, Federated Learning, LLMs, and Data-Centric cybersecurity.
Cybersecurity
Cybersecurity expertise in data privacy, phishing detection, secure ML, user behavior analytics, and threat intelligence, with experience in federated learning on non-IID data.
Artificial Intelligence
Expanding expertise in Agentic AI, LLM-based solutions and ML models for cybersecurity applications, specializing in data quality, compliance enforcement and predictive security analytics.
Software Development
Building AI-driven security systems with Python and modern ML frameworks.
Data Science
Transforming complex data into actionable insights through statistical analysis, visualization, and machine learning techniques.
Soft Skills
Proven strengths in delivering technical POVs, new research problem evaluations, research design & validation, critical thinking, technical writing, and continuous learning.
Experience
From structural engineering to AI development, building practical tools that bridge traditional engineering with modern technology.
TCS Research
Scientist
TCS Research believes in the power of inspiration and invention to build greater futures.
Key Achievements
- Authored technical POVs and concept evaluations to support long-term strategic planning.
- Scoped high-impact AI-for-cybersecurity use cases, assessing feasibility, risk, and scalability.
- Paper published in top-tier conference ACM CCS 2025.
- Led hiring for the research group.
TCS Research
Researcher
TCS Research believes in the power of inspiration and invention to build greater futures.
Key Achievements
- Built AI systems in Federated Learning, Data Quality, User Behavior Analytics and Threat Intelligence.
- Published research at top venues (ACM CCS, SIGMOD, SAC, CoLLAs)
- Filed multiple patents across geographies as lead inventor.
ACM SIGAPP Symposium On Applied Computing (SAC)
Review committee member (Machine Learning and Its Application Track)
For more than three decades, this prestigious international forum has provided a dedicated platform for computer scientists, engineers, and practitioners to present their research findings across various domains of applied computing.
Key Achievements
Tech Stack
Technical expertise spanning software development, AI/ML, and engineering technologies.
Programming Languages
Cybersecurity Frameworks & Standards
AI/ML Frameworks
Web & UI
Data Science
Development Tools
Let's Connect
Send me a message
Contact Information
Let's connect! I'm always interested in hearing about new projects and opportunities.
Location
Pune, India