I ship AI/ML systems end-to-end - from fine-tuning and quantizing LLMs to run on embedded Qualcomm hardware, to designing agentic RAG pipelines that reason over real-world data. My work sits at the intersection of Deep Learning, Agentic AI, and Systems Engineering, with a focus on making models fast, small, and deployable across cloud, on-device, and embedded environments. Currently a Software Engineer at MulticoreWare Inc., enabling coding-assistant LLMs to run on Edge AI / Qualcomm hardware, building an AI Playground for RAG & Fine-Tuning orchestration on AWS/Kubernetes, and designing quantization pipelines for TinyML deployment. Founder Chancellor Gold Medalist (SRIHER, 2025) and published author across four AI/ML book chapters.
| Main Account | Work Account |
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Languages
AI / ML / Agentic AI
Edge AI / Quantization / Deployment
Frameworks
Cloud & Infra
Other Tools
- Composite AI-Driven Music Recommendation - Integrating Emotion, Aural Analysis and Song Similarity (2026)
- Artificial Intelligence and Machine Learning for Smart Community - Disseminating Dynamic Traffic Information for Sustainable Mobility and Transport (2024)
- Advancement of Data Processing Methods for Artificial and Computing Intelligence - Streaming Highway Traffic Alerts using Twitter API (2024)
๐ซ Always open to discussing Agentic AI, Edge Inference, and RAG systems - reach out anytime!

