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Darshan R K User

@darshanrk

Data Scientist at Aviso AI building multi agent infrastructure and multimodal RAG systems that improved retrieval performance by 29.5%.

India

Message

What I'm looking for

Looking for opportunities where I can build complex, production-grade AI systems with a strong engineering team, take ownership of challenging problems, and continuously learn and grow. Particularly interested in roles involving agentic systems, LLMs, RAG, and AI infrastructure, where I can contribute deeply while working alongside talented engineers.

At Aviso AI, I owned development and production delivery of Aviso Agent Studio and Enterprise Search. Collaborated with the team to develop multi-agent orchestration infrastructure and a filesystem-backed artifact system, and built persistent memory capabilities for personalized responses.

I also architected a multimodal RAG pipeline and hybrid retrieval combining semantic search, BM25, reranking, and temporal knowledge-graph retrieval, improving performance by 29.5% over the existing RAG system.

At UnifyApps, I implemented sequential execution for Crew Agents and developed a document tampering detection model that achieved 70% accuracy on the client dataset.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Aviso AI

Nov 2025 - Present (11 months)

Owned development and production delivery of Aviso Agent Studio and Enterprise Search, managing feature development, deployments, and troubleshooting. Architected multimodal RAG pipeline and hybrid retrieval, improving retrieval performance by 29.5%.

Agentic AI RAG WebSockets Authentication tool orchestration Observability Multimodal AI Semantic Search BM25 Reranking Knowledge Graphs Ragas Python fastAPI Docker Kubernetes AWS

Product Engineer

UnifyApps

Jul 2025 - Oct 2025 (3 months)

Implemented sequential execution for Crew Agents and extended the enterprise AI agent framework with Deep Research capabilities. Developed and deployed a document tampering detection model achieving 70% accuracy.

Agentic AI Multi Agent Systems Knowledge Graphs Deep Learning Error Level Analysis Python TensorFlow PyTorch

AI Engineering Intern

UnifyApps

May 2024 - Jul 2024 (2 months)

Developed a banking LLM chatbot query refinement system using Llama 3 8B with RAG, achieving 98% retrieval decision accuracy. Built a scalable GPT-4-powered company research pipeline, reducing latency by 28%.