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











"Intelligent systems are not just built with AI — they're engineered with structure, scalability, and purpose."
— Sunnykumar Lalwani
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.

Software development often suffers from two major bottlenecks: slow, inconsistent manual code…
The system architecture is built around a Unified Workflow Orchestrator that manages isolated project workspaces.
Reduced time-to-market for new features by 40%.; Caught 95% of critical bugs before they reached…
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More projects
iOS
Developed a mobile-based sample collection system used by field staff to register patient samples directly from iOS and Android applications. The application captures patient and test details, generates a unique QR code for each sample, and enables QR-based scanning during laboratory accessioning. The system integrates with the LIMS backend to ensure accurate sample tracking, faster accessioning, and improved traceability across lab branches.
Narratives of engineering journeys, from architectural decisions to deployment challenges.