Akash Goyal
@akashgoyal
I build reliable, high-scale backend platforms for billing and data pipelines.
What I'm looking for
At Salesforce, I build high-scale billing, metering, and Einstein Bot ingestion systems, including email engagement ingestion supporting 25K QPS and RCS billing for 100M+ messages a day. I’ve designed fault-isolated pipelines, reconciliation mechanisms with less than 0.1% revenue leakage, and production workflows that reduce operational overhead.
Previously at Swiggy, I led Smart Address Nudges and a Fraud Firewall platform, reducing address-related cancellations by 5%, inter-service calls by 67%, and delivery time by 3 minutes. Across Microsoft BingAds, Swiggy, and Salesforce, I’ve owned major incidents, built durable reliability tooling, mentored engineers, and enjoy turning complex distributed-system problems into scalable, maintainable products.
Experience
Work history, roles, and key accomplishments
Built end-to-end email engagement ingestion into Einstein Bot, enabling 25K QPS batch ingestion with feature-flagged rollout and production observability. Decoupled Einstein HTTP calls from the Exhaust hot path using bounded asynchronous processing, reducing queued payload size from 10 KB to 400 B and increasing buffering capacity to 50K events.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology, Kurukshetra
Bachelor of Technology, Computer Science
2016 - 2020
Grade: CGPA 9.34
Pursued a Bachelor of Technology in Computer Science, achieving a CGPA of 9.34.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/akash1309Salary expectations
Job categories
Skills
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