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Bhupesh Singla

@bhupeshsingla

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Senior software engineer building high-throughput distributed backend systems and algorithms.

India

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What I'm looking for

I want to build and optimize high-throughput distributed backend systems, owning performance-critical algorithms end-to-end. I’m energized by architecture/design leadership, reliability via event-driven workflows, and working with cross-functional teams to ship measurable improvements.

I’m a senior backend-focused software engineer with 4 years of experience designing and shipping high-throughput distributed systems—from algorithm design to production deployment at scale across multiple sites. I’ve delivered core fulfillment algorithms with measurable outcomes like P99 latency of 5ms on 100K+ storage locations and ~90% reduction in misplaced inventory.

At GreyOrange, I’ve designed and deployed rack selection, storage utilization improvements (50% to ~80%), and workflows that reduce operational failures (e.g., “no-rack-available” down to under 1 per day). I also lead architecture and incident response for storage allocation (HLD/LLD, reviews, on-call) while mentoring 4 engineers and driving cross-functional collaboration, with multiple “Extra Mile” awards recognizing these impact areas.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Greyorange Pvt. Ltd.

Jul 2024 - Present (1 year 11 months)

Designed and built tote return-to-storage and rack-selection algorithms, achieving P99 latency of 5ms on 100K+ locations and ~90% reduction in misplaced inventory, deployed across 3 warehouses. Led storage allocation subsystem architecture (HLD/LLD, reviews, incident response), mentoring 4 engineers and improving storage efficiency from 50% to ~80%.

Erlang OTP C#Python PostgreSQL MnesiaDB Kafka Event Driven Architecture Distributed Systems Algorithms Docker

Software Engineer

Greyorange Pvt. Ltd.

Jul 2022 - Jul 2024 (2 years)

Refactored the core slot-selection algorithm into a tiered backtracking architecture, reducing average calculation time from 5s to 3s (~40%). Implemented weighted round-robin rack allocation (cut operator waiting time from 15 minutes to 30 seconds), built REST-based capacity analysis tools, and automated end-to-end testing to raise coverage from <50% to 80%.