Deves Patil

I’m an Associate Software Engineer focused on Backend Engineering and Distributed Systems, building and maintaining backend microservices that improve reliability, throughput, and consistency across distributed systems.

At Cornerstone onDemand, I’ve owned features end-to-end—from requirements to design, implementation, deployment, and monitoring—while also resolving real-time customer issues and production incidents. I optimized high-volume file processing pipelines using async workflows, batching, and background processing, and built distributed synchronization pipelines to improve accuracy and reduce data drift.

I design internal libraries and services for data normalization, caching, and request optimization to cut latency and redundancy, and I’ve enhanced GraphDB performance through indexing, traversal optimization, and schema tuning. I also strengthened resilience with caching, structured logging, observability, and monitoring on AWS, and implemented async job processing with worker threads and queue-based execution for long-running tasks.

Earlier, as a Delivery Data Analyst at Turing.ai, I improved LLM output quality for clients including Google, Meta, OpenAI, and Character.ai using SFT, RLHF, and evaluation pipelines. I also build prototypes like an agent-based automation system using Python, FastAPI, LLM tool-calling, RAG, a planner–executor workflow, and a memory store; plus projects like Wareflow (inventory management APIs) and a decentralized AI marketplace with Solidity, Web3.js, and IPFS.