cat resume.md

Sreekesh O S

AI Builder & Engineering Manager

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Summary

AI builder and engineering manager with 14+ years building cloud-native platforms, currently focused on agentic AI systems for software engineering. Designed the base architecture for a sandboxed AI code-generation system for DevOps report scripting. Led teams of up to 15 engineers through a monolith-to-microservices migration and other platform-scale architectural shifts. Writes on AI agents and autonomous coding on the blog.

Core competencies

AI & Agentic Systems
AI agent architecture, sandboxed tool use, LLM-assisted code generation, prompt-driven developer workflows
Engineering Leadership
Team management, mentorship, solution architecture, stakeholder management, Agile/Kanban
System Architecture
Microservices decomposition, event-driven architecture, API design, scalable system design
Frontend
JavaScript, Angular (AngularJS and modern Angular), React, Micro Frontends (MFE)
Backend & Cloud
Node.js (8+ yrs), AWS (Lambda, SQS, SNS, EC2), Python, PHP
Data & Performance
MongoDB, MySQL, Elasticsearch, Redis, database optimization

Experience

Senior Technical Architect · Cabot Solutions

Senior Staff Engineer · Cambium Networks

  • Architected a sandboxed AI agent that generates reusable report-scripting code from natural-language prompts, cutting turnaround on script requests without exposing direct production credentials.
  • Steered the cnMaestro platform from a single monolith to independently deployable, event-driven microservices (Node.js, SQS, Lambda), sequencing the decomposition around the highest-churn modules first so releases could ship without full-platform regression cycles.
  • Introduced Micro Frontend architecture across UI teams, letting each team ship independently instead of coordinating on a single shared frontend release train.
  • Replaced polling-based UI updates with WebSocket channels for real-time data, lazy-loading widgets asynchronously and rendering visible ones first with skeleton placeholders. This cut dashboard load time by roughly 85%, from 30–40s down to under 5s.
  • Led 8+ engineers day to day, covering backlog grooming, priority calls and sprint planning. Took sprint completion from an inconsistent baseline to a sustained 95%.

Lead Engineer · QBurst Technologies

  • Led a multidisciplinary team of 10+ engineers delivering a combined IoT and e-learning platform across multiple client deployments.
  • Standardized API contracts and documentation across the integration surface, shortening the time needed to onboard new partner integrations.
  • Built a Node.js/hapi aggregation pipeline processing 1TB+ of daily data, the backbone for the platform's downstream analytics and reporting.
  • Designed an Elasticsearch search layer returning sub-second results across millions of records, replacing a MySQL full-text search that had become the primary latency bottleneck.
  • Automated manual data-entry workflows with Selenium and Node.js, cutting entry time by roughly 90% and freeing the ops team from a recurring weekly bottleneck.
  • Rebuilt the file-processing pipeline to scale elastically off SQS queue depth, spinning up memory-optimized instances only when files landed in S3. This eliminated idle compute spend and sped up file processing and Elasticsearch writes.

Software Engineer · Assyst International

  • Built enterprise ERP modules for plantation management and operational reporting in the agricultural sector, including responsive, cross-browser UI components reused across later feature screens.
  • Built real-time operational dashboards in JavaScript and nvd3.js for live visibility into field-reported data, backed by Underscore.js modules handling the client-side data processing.

Education

B.Tech in Electrical and Electronics Engineering Vidya Academy of Science and Technology, Calicut University · 2007–2011

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