sai varun Bachu
@saivarunbachu1
Software Developer building agentic AI tooling and high-reliability distributed platforms to reduce operational toil.
What I'm looking for
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
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.
Engineered an org-wide authentication proxy layer for security, data integrity, and cross-team service reliability. Developed Python-based microservices with Docker and operated production systems focused on availability and operational correctness.
Software Developer
SmatBot
Jan 2020 - Jun 2021 (1 year 5 months)
Built real-time live-chat infrastructure using WebSockets for low-latency, event-driven human handoff within a chatbot experience. Managed AWS infrastructure (EC2, RDS), migrated from Python to Node.js, and shipped reliable async integrations with WhatsApp Business API and Google Calendar.
Software Engineer
HummingWave Technologies
Jun 2019 - Dec 2019 (6 months)
Delivered product initiatives using JavaScript, Python, and Node.js, including implementing Elasticsearch-based search for improved retrieval performance and query flexibility. Built full-text search capabilities with query optimization to enhance data access across projects.
Education
Degrees, certifications, and relevant coursework
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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