Jasleen Singh

I’m an AI Systems Engineer passionate about designing and deploying reliable, production-ready AI applications from concept to scale.

In my current role at RIA Advisory, I built and deployed a production Text-to-SQL system on a large OracleDB (200+ tables) using GraphRAG and multi-step LLM orchestration, achieving 92% query accuracy and significantly reducing analyst query time. I also designed JADE AI, an enterprise HR automation platform serving 1,100+ employees across 8 regions, powered by async multi-agent workflows, streaming responses, and secure Microsoft OAuth integration.

I own the full lifecycle of AI systems — from architecture to MLOps. I’ve deployed and managed AI workloads on AWS EKS using Docker, Kubernetes, Helm, and ArgoCD, while implementing strong observability with Grafana, logging, and monitoring. I also built intelligent LLM routing and optimization layers across multiple models (OpenAI, Qwen, Ollama, vLLM) to improve latency and cost efficiency.

Additionally, I work on document intelligence and workflow automation tools for PDFs, SQL datasets, and enterprise reporting. On the side, I contribute to the open-source community through an Anthropic MCP Server implementation and have research experience in image captioning using Graph Convolutional Networks and EfficientNet in PyTorch.

I’m particularly interested in building robust, scalable AI systems that deliver real business impact in fast-moving startup environments.