Applied AI EngineerMay 2026 – Present
Clueso, Bengaluru
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.
- Fine-tuned GGUF model for constraint extractionDR levels, cost/ops tolerance, region identification. Scikit-learn intent regressor as fast secondary signal. Confidence gating at 0.65 routes low-confidence inputs to a stronger model. Also training in-house LLM on workflow and Terraform data.
- Model routing by task complexitygpt-5 for complex reasoning, gpt-5-nano for lightweight ops like title generation and context summaries, gpt-4.1-mini for graph manipulation. Not everything needs the expensive model.
- Semantic memory on PostgreSQL with pgvectorHybrid ranking by similarity + recency + relevance, rolling summarization, personalized welcome prompts for returning users. Agents remember past conversations.
- OTel tracing and cost attributionCross-service tracing with session-ID propagation, PostHog cost attribution per user/session/agent, model benchmarking across GPT/Gemini/Claude/Llama.
- Onboarded first enterprise client pre-launchHands-on usage, bug filing, iterated on agent behavior and UX across 32 deployment workflows (multi-region DR, HIPAA/PCI-DSS, EKS, ML platforms).
- Own 3–5 repos end-to-end, primary on-call2hr worst-case recovery. Lead work across frontend, data, Java backend, and DevOps in a 10-person remote team.
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.
