Srinjoy Sanyal
I am a Master’s student in Computer Science (Artificial Intelligence) with strong foundations in machine learning, hybrid AI, knowledge graphs, and distributed systems.
About
I am a Master’s student in Computer Science (Artificial Intelligence) with strong foundations in machine learning, hybrid AI, knowledge graphs, and distributed systems. I have experience across academic research, industrial AI internships, and system-level engineering, and I enjoy bridging theory and practice across AI, IoT, and software systems.
My master’s thesis on Hybrid AI for IoT explores combining ML with symbolic reasoning using RDF knowledge graphs and proposes a SPARQL extension to execute ML models during query evaluation. I implemented and evaluated it using the Kolibrie SPARQL engine with cost-based query planning.
- Joined January 2026
Skills· 16
Languages
- EnglishFluent
- FrenchFluent
- DutchBeginner
- LatinBeginner
Industry experience
- Computers & Electronics
- Software & Internet
- Manufacturing
- Education
- Professional Services
Work experience
Developed SystemC models for complex digital ICs; Integrated ARM Cortex Fast Models with RAM and peripherals; Built and simulated C applications interacting with hardware registers.
Extended GenAI PoC templates deployed on Microsoft Azure; Developed reusable pipelines and MLOps / GenAIOps processes; Benchmarked LLM deployment using vLLM and Skypilot; Migrated cloud-based AI pipelines to on-premise GPU environments.
Education
Certifications and awards
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