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Aryam Mann

@aryammann

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Backend Software Engineer at Dezerv who co-built a scheduling platform with zero booking errors.

India

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At Dezerv, I co-built an in-house scheduling platform that replaced Calendly for 360+ RMs, with 187ms P95, zero booking errors, and $52K/year saved.

I designed its slot assignment engine with four strategy-pattern algorithms and progressive candidate expansion. I also built a leave-computation system and an org-wide Go retry/timeout library using generics.

I shipped end to end with Flutter and React alongside Go services. My backend work focuses on microservices, event-driven systems, and concurrency.

I'm exploring how to build useful AI systems end to end, including agents with tool use and RAG, MCP, and the evaluation and guardrails needed to trust them in production. As a Research Intern at The University of Tokyo, I applied Graph Neural Networks to ASIC placement and routing in the OpenLANE chip-design flow.

Experience

Work history, roles, and key accomplishments

Software Engineer

Dezerv

Jul 2025 - Aug 2026 (1 year 1 month)

• Co-built the in-house scheduling platform replacing Calendly for 360+ RMs — 187ms P95, zero booking errors, $52K/year saved.
• Designed the slot assignment engine: six strategy-pattern algorithms with progressive candidate expansion.
• Built a leave-computation system and an org-wide Go retry/timeout library using generics.
• Shipped end-to-end with Flutter and React alongside the Go services.

Cadet Under Officer

NATIONAL CADET CORPS - India

Jan 2023 - Aug 2024 (1 year 7 months)

Worked as Cadet Under Officer at NATIONAL CADET CORPS - India.

Research Intern

The University of Tokyo

Jun 2024 - Jul 2024 (1 month)

VDEC Lab. Applied Graph Neural Networks to optimize ASIC placement and routing in the OpenLANE chip-design flow. Represented Verilog netlists as graphs and trained GNN models to predict design parameters that improve area efficiency and reduce critical-path delay.