Chanpreet Chhabra — Software Engineer

I'm a passionate and performance-driven Staff Engineer with over 7 years of experience designing and scaling large distributed systems, particularly in the healthtech space. My core expertise lies in backend architecture, LLM-integrated platforms, real-time data pipelines, and cloud-native engineering. At Innovaccer, I've led initiatives like: Building an AI-powered API workflow platform using LLMs (OpenAI, Bedrock, Sonnet), DSL design, and Pydantic graphs — enabling users to query and automate workflows through a conversational chatbot interface. Architecting a real-time interoperability engine that syncs millions of records across EMRs using Kafka, custom transformations, and async callbacks — optimized for horizontal scalability using Kubernetes + KEDA. Creating a custom Function-as-a-Service (FAAS) platform supporting Python and Scala runtimes with event-driven concurrency (Kafka, NATS) and queue-based autoscaling. Delivering high-quality, production-grade software with >98% test coverage, CI/CD automation, observability via Prometheus/Grafana, and microservices deployed via Helm on AWS and Azure. I thrive in fast-paced environments, love working on bleeding-edge tech (LLMs, Flink, CrewAI, Cursor AI), and believe in clean code, automation, and scaling what works.

Stackforce AI infers this person is a Backend-heavy Fullstack engineer specializing in Healthtech solutions.

Location: Noida, Uttar Pradesh, India

Experience: 8 yrs 11 mos