Founding AI EngineerJun 2024 – Apr 2026
AI & Backend Systems
Omni RPA Inc, San Jose↳ Agentic Solutions Pvt Ltd, Hyderabad
- MCP server and client from scratchBuilt while the protocol was 5 weeks old. Tool gating with prerequisite chains, dynamic schema generation, attribute matrix filtering, mandatory reason parameter on every pricing call to kill speculative tool use and create an audit trail.
- DAG-based multi-agent orchestrator8 agent types (pricing-researcher, memory-retriever, cost-analyzer, constraint-validator, recommendation-builder, and others). Topological sort, cycle detection, parallel tier execution, WebSocket streaming. Users see a live DAG panel with agents moving through pending/running/completed.
- 8 ambient agents on a separate schedulerConflict detection, requirement completeness, workflow recommendations, context summarization, SKU recommendations, service monitoring. Push notifications to UI without the user asking. Plus a graph reasoning agent with 2-round LLM planning and compensation-based rollback on write failures.
- Knowledge graph and RAG stack7-stage NATS pipeline for document ingestion with 85–95% of entity extraction handled locally via GLiNER ONNX (no LLM API calls). Neo4j to FalkorDB migration, hybrid retrieval on Weaviate/gRPC, two-layer semantic cache to avoid redundant LLM calls.
Research InternOct 2023 – Dec 2023
Computer Vision
Digital University of Kerala, Kerala
- Real-time crop ripeness detection with YOLOv8Built real-time crop ripeness detection system using YOLOv8 fine-tuned on proprietary agricultural dataset; deployed to production.