Headline

Senior Software Engineer | Distributed Systems · GPU Pipelines · Video Infra | Go · TypeScript · AWS · GCP

About

I design and operate production backend systems — distributed, event-driven, and built to run at scale. Currently at VideoVerse/Magnifi, where I own the backend and cloud infrastructure powering a media AI platform. My work spans distributed rule engines, GPU compute pipelines, and microservice architectures across AWS and GCP. A few things I've built or fixed: → Overhauled a critical GPU video processing system: −70% cost (~$200K/yr), 8× throughput, P0/P1 MTBF from 5 days to 75+ days → Designed a distributed rule engine on SNS/SQS processing 60M+ events/month — the publishing backbone for Paramount and CBS enterprise SLAs → Decomposed a 186K-line, 103-module Node.js monolith into independent services, now serving 42M+ requests/week at ~100ms p95 → Built the automation layer for Magnifi's AI news product vertical — 24/7 zero-touch delivery; enabled enterprise onboarding for SNTV and TV4 Sweden News I'm drawn to problems where reliability, scale, and cost actually matter — systems where a bad query or a design flaw shows up in production. I've been on-call, written the post-mortems, and fixed the root causes. Core stack: Go · TypeScript · PostgreSQL · MongoDB · Redis · AWS (ECS Fargate, SNS/SQS, RDS, ElastiCache) · GCP (GKE, Cloud Run) · Kubernetes · OpenTelemetry Open to senior backend / distributed systems roles. Reach me at heyshashwathq@gmail.com

Location

Bengaluru

AI stack

claude code

codex

elevenlabs

gemini

mcp

notion

Work experience

Senior Software Engineer at VideoVerse, Jan 2026 - Present · 8 mos, Own the backend and cloud infrastructure for Magnifi's media AI platform. Primary areas: GPU video processing systems on GCP (Cloud Run + GKE), observability engineering (OpenTelemetry), and the AI news automation pipeline. Hiring and mentoring.

Software Engineer at VideoVerse, Jan 2024 - Jan 2026 · 2 yrs 1 mo, Designed and owned the distributed rule engine — the event-processing backbone powering Magnifi's publishing automation at 60M+ events/month. Led decomposition of a 200K-line Node.js monolith into independent microservices on ECS Fargate.

Software Engineer at Dive, Jul 2023 - Dec 2023 · 6 mos, Bengaluru, Karnataka, India, Owned and revitalised the Meeting Bot, a critical revenue-generating system, enhancing stability and driving client acquisition.

SWE Intern at Dive, Jan 2022 - Jul 2023 · 1 yr 7 mos, Letsdivehq, Orchestrated and facilitated Dive's strategic shift from a remote engagement platform to a meeting note platform.

Education

Bachelor of Technology - BTech, National Institute of Technology, Tiruchirappalli

Dps Ranchi

Public links

github: https://github.com/shashwatVar