Chandrakanth Ganji
@chandrakanthganji
I build distributed platforms, LLM workflows, and backend systems that reduce latency, costs, and operational risk.
What I'm looking for
At Grab, I own a distributed workflow platform used by 18+ engineering teams, migrating a failing Cadence cluster to Temporal and ScyllaDB on AWS EKS. The work reduced p99 latency from minutes to under 100ms and cut infrastructure costs by 70%.
I've built production LLM workflows for support automation, including PII-safe and prompt-injection-guarded refund flows, multi-agent orchestration, and receipt validation. These systems delivered instant refunds, improved customer satisfaction by about 10%, and reduced support costs by approximately $1.8M annually.
I also build data and product platforms, from Spark pipelines processing 20M+ refund records to a no-code chatbot platform supporting 300+ flows. My work has reduced delivery support contacts, improved test coverage, and replaced costly vendor tooling.
Across backend engineering, infrastructure, and operational excellence, I focus on owning systems deeply—from architecture and rollout through incident response, cost optimisation, and long-term reliability.
Experience
Work history, roles, and key accomplishments
Architected and led migration from Cadence+MySQL to Temporal+ScyllaDB on AWS EKS, reducing p99 latency from minutes to under 100ms and cutting infrastructure costs by 70%. Drove org-wide operational excellence frameworks and designed production LLM workflows with multi-agent orchestration.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Guwahati
Bachelor of Technology, Computer Science and Engineering
2012 - 2016
Pursued a Bachelor of Technology in Computer Science and Engineering, gaining a strong foundation in computing principles and engineering practices.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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