Suresh Bhandari
I’m Suresh Bhandari, a senior backend and AI engineer with 5+ years of production experience designing, scaling, and operating distributed systems end-to-end.
About
I’m Suresh Bhandari, a senior backend and AI engineer with 5+ years of production experience designing, scaling, and operating distributed systems end-to-end. I’ve built and owned core backend services that support large-scale, real-money systems and zero financial data-loss guarantees, while maintaining reliability through scale and incident response.
Right now, I’m architecting multi-agent AI systems at Deutsche Telekom (T-Systems) via Pixeldust Technologies, where I design orchestration and knowledge extraction pipelines—turning fragmented enterprise documentation into queryable knowledge graphs and RAG-based experiences. My core toolkit spans Python/FastAPI, Node.js, RabbitMQ, Redis, gRPC, PostgreSQL, and cloud platforms like AWS and GCP, with strong emphasis on production reliability, CI/CD, and practical AI engineering.
- 5 years' experience
- Joined November 2026
Industry experience
- Software & Internet
- Telecommunications
- Gaming
- Financial Services
- Education
- Professional Services
Work experience
Architected backend infrastructure and Google ADK orchestration for an internal AI platform, shipping 10+ production agents including an enterprise knowledge-graph RAG system. Extracted structured insights from fragmented documentation (wikis, PDFs, spreadsheets, architecture diagrams) to reduce retrieval time from 40+ minutes to under 2 minutes. Owned end-to-end backend responsibilities for a distributed European team: API design contracts with data science teams, persistent chat history infrastructure, JWT authentication, HTTP streaming for real-time responses, and cloud deployment with CI/CD orchestration across ML infrastructure, backend services, and DevOps workflows. Built a knowledge-extraction pipeline that converts unstructured enterprise documents into queryable knowledge graphs and integrated vector/graph technologies to improve knowledge discovery and reduce manual lookups.
Owned wallet, payment processing, and third-party payment integration modules for a real-money gaming platform used by 5M–10M monthly active users. Maintained wallet balance integrity and transaction finality using idempotent transaction design, dual verification for high-value operations, comprehensive audit logging, and event-driven consistency guarantees with RabbitMQ, ensuring zero financial data loss. Debugged transient game engine errors at scale by analyzing distributed event traces across millions of RabbitMQ messages, shipping targeted fixes that reduced mid-game error rates by ~30% and improved player retention and session completion. Designed and deployed operator/business analytics dashboards for real-time revenue and transaction health, including cohort and churn analysis to help teams adjust incentives during churn spikes.
As a founding engineer, took sole production ownership after the CTO left, standing up production architecture and infrastructure from scratch (Nginx, AWS, Docker, GitHub Actions CI/CD) for a small team. Architected a learning platform by decomposing a monolith into a production-grade microservices suite including assessment/quiz services, automated PDF report generation (1000+ reports/month), personalized recommendation loops, and SSO across Python/FastAPI and Node.js services. Scaled from zero to 50K monthly active users with 99.9%+ uptime across 10+ horizontally scaled servers. Led delivery for multiple B2B clients (education/assessment verticals), including white-label solutions and client-specific APIs, enabling clients to grow revenue 2–3X. Built the engineering team from zero (interviews for 10+ candidates) and standardized development practices and production reliability processes. Returned as Tech Lead to standardize microservices architecture across 5+ services, resolve ses
Education
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