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sai varun BachuSB
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sai varun Bachu

@saivarunbachu1

Software Developer building agentic AI tooling and high-reliability distributed platforms to reduce operational toil.

India
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What I'm looking for

I’m looking for a remote role where I can build agentic AI tooling and high-reliability distributed systems—owning async infrastructure, reliability/observability, and partnering across teams to ship production-grade platforms.

I’m a Software Developer at Notion building AI-assisted operational tooling for on-call workflows—log/metric triage, runbook verification, and incident write-ups—so teams can resolve issues faster with less toil. I apply LLM prompting for design-time reasoning, using AI to explore tradeoffs, identify edge cases, draft technical communication, and iterate on architecture decisions. I also use code-generation and refactoring support to prototype integrations faster while maintaining strong review standards for production correctness.

Beyond AI, I designed and operated high-throughput async infrastructure processing ~5B tasks/day at 99.9% SLO, with durability, correctness primitives (deduplication + debouncing), and a scheduler platform for long-running/delayed work. I’ve owned reliability, observability (metrics/logging/tracing), on-call rotations, rollout safety, and cross-team platform leadership—delivering runtime config management, IaC frameworks, and multi-cell readiness for enterprise deployments. Earlier, I engineered an org-wide authentication proxy at FireEye (Trellix), built WebSocket-based live-chat handoff infrastructure at SmatBot, and shipped Elasticsearch-backed search solutions at HummingWave Technologies.

Experience

Work history, roles, and key accomplishments

Notion logoNO
Current

Software Developer

Jun 2022 - Present (4 years)

Built LLM-assisted operational tooling to automate log/metric triage, runbook verification, and incident write-ups, reducing toil and accelerating MTTR. Designed and operated high-throughput async infrastructure (~5B tasks/day) with 99.9% SLO using durable execution primitives (dedupe + debounce), scheduling, and runtime config management.

Education

Degrees, certifications, and relevant coursework

Lovely Professional University logoLU

Lovely Professional University

Bachelor of Engineering in Computer Science, Computer Science

2015 - 2019

Grade: CGPA: 8.42

Earned a Bachelor of Engineering in Computer Science at Lovely Professional University (2015–2019), achieving a CGPA of 8.42.

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