Raghav Bhalla Email & Phone Number

- Lead the development of AI integrations with SaaS platforms to enable organizations leverage AI for tasks related to human resources, employee onboarding and triaging HR/IT requests reducing department support load by 70%. - Implemented thorough code review process throughout the pipeline to enforce coding standards and identify potential vulnerabilities using Pytest and Jest. - Reduced latency in Retrieval Augmented Generation (RAG) pipeline by 37% using caching and eviction strategies like Write-Through and Lazy Loading in Redis. - Implemented efficient text chunking, querying, and prompting techniques to increase query accuracy for contextual responses from 1000+ corpus of documents. - Developed query router to route queries to LLM based on user chat history and user text classification. This significantly reduced token costs by 18% and response times to below 200ms. - Created continuous integration and deployment pipelines in multi-container environment using Kubernetes, Helm and Github Workflows. Templated K8s deployment in Helm charts reducing configuration overhead.

Oakville, Ontario, Canada

- Developed highly available backend services using Typescript/NodeJs to handle API requests, databaseoperations, and authentication for integrations platform, improving system performance by 17% andsignificantly increasing throughput under peak load times.- Refactored monolith backend to a microservices architecture to increasescalability and maintainability.- Responsible for creating ELT data pipelines from different sources to create metrics. Decomposed the powershell script run to extract the data into python lambda serverless time triggered tasks; reducing compute costs by 60%. - Managed code base for large enterprise projects and took ownership of end to end app/solution delivery. - Built custom widgets in React to embed on platform using iFrames and developed logic to build dynamic React widgets based on browser events.

Toronto, Ontario, Canada