MODEL LAYER
Foundation reasoning & multimodal intelligence powering structured workflows.
Used in multi-agent orchestration, structured RAG, and enterprise automation.











"Life is not a gallery of flawless victories — it's a Museum of Failures and a Gallery of Trying."
— Annie Siri
Foundation reasoning & multimodal intelligence powering structured workflows.
Used in multi-agent orchestration, structured RAG, and enterprise automation.
Provider abstraction and multi-model switching via unified interfaces.
Contextual grounding using vector search and structured retrieval pipelines.
Stateful, multi-step reasoning systems with graph-based execution.
Authenticated, access-controlled, production-grade APIs.
Vision pipelines and domain-specific model training.
Scalable deployment with logging, monitoring and CI/CD.
Latency · Error Rate · Throughput · Cost
Elastic compute across cloud and serverless environments.

Families juggle scattered data points—documents, health records, milestones—across chats and…
Modular architecture centered on three domains: People, Documents, and Health.
No more remembering dates or digging through WhatsApp.; Documents renewed on time; health…
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More projects
YOLOv8
Developed a computer vision system using YOLOv8 and ByteTrack for player detection and tracking in sports videos, ensuring consistent ID assignment across frames. Implemented with Python, OpenCV, and boxmot to process 15-second 720p video, handling player re-entry with robust multi-object tracking. Documented with detailed README and shared on GitHub.
Narratives of engineering journeys, from architectural decisions to deployment challenges.