Maheshkumar N.

Senior Software Engineer

India8 yrs 1 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • AI Innovation Award Winner
  • Expert in CI systems and developer tooling
  • Strong background in AI and machine learning applications
Stackforce AI infers this person is a SaaS-focused Senior Software Engineer with expertise in CI/CD and AI-driven solutions.

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Skills

Core Skills

Cloud ApplicationsSoftware DevelopmentAgile MethodologiesDocker

Other Skills

Spring SecurityPostgreSQLDistributed SystemsGo (Programming Language)GitHubAmazon Elastic MapReduce (EMR)Google BigQuerySentryDatadogBazelAgentic AutomationAgentic WorkflowsAgentic AI Developmentn8nModel Context Protocol (MCP)

About

🏆 AI Innovation Award Winner · Senior Software Engineer (CI / AI Systems) I am a Senior Software Engineer with 8+ years of experience building developer tooling, CI systems, and data and machine learning driven platforms. My work sits at the intersection of backend development, distributed systems, software reliability, artificial intelligence and applied machine learning. Currently, I work at CloudBees on Launchable Smart Tests, a test intelligence platform that helps engineering teams optimize CI execution by selecting the most relevant tests to run. The core problem of deciding what to run, when, and why involves historical test analytics, real-time pipelines, flaky test detection, and machine learning based prediction systems. During my tenure in the CDRO team, I also built FlowIssueBot as a side project. It is an internal LLM and RAG system that triages Jira issues by matching them with historical incidents and suggesting likely resolutions. It reduced manual triage effort and improved resolution turnaround. Before CloudBees, I worked at Vaeso, a US based IoT startup in manufacturing technology. I built real-time factory monitoring systems and a digital Andon quality control platform. This gave me strong experience with streaming systems and production reliability. Earlier at TechMojo, I worked on backend and infrastructure systems for Paysafe, a NYSE listed company. This included AWS based services, machine learning pipelines using SageMaker, and PCI DSS compliant audit logging systems. I primarily work with Java, Python, Go and Node.js for backend systems. I also work with AWS and GCP for cloud infrastructure, and Spark, Kafka, and BigQuery for data pipelines. Since few years, I’ve focused on Agentic AI, LLMs, RAG systems, and developer productivity tooling. Observability and production reliability are a core part of my work, using tools like Datadog, Sentry, and Elasticsearch. I hold a Master’s in Computer Engineering from K. J. Somaiya College of Engineering, where I graduated at the top of my batch. If you are working on something interesting in distributed systems, developer tooling, or AI/ML, I would genuinely love to connect.

Experience

8 yrs 1 mo
Total Experience
1 yr 8 mos
Average Tenure
1 yr 4 mos
Current Experience

Cloudbees

Senior Software Engineer

Feb 2025 – Present · 1 yr 4 mos

DockerCloud ApplicationsSoftware Development

Vaēso

Senior Software Engineer

Jul 2023 – Dec 2024 · 1 yr 5 mos

Software DevelopmentAgile Methodologies

Techmojo solutions private limited

Member Of Technical Staff

Feb 2022 – Jul 2023 · 1 yr 5 mos

Software DevelopmentAgile Methodologies

Nandas engineering

Software Engineer

Aug 2019 – Jan 2022 · 2 yrs 5 mos

DockerSoftware Development

Adevole

Software Developer

Jan 2018 – Jul 2019 · 1 yr 6 mos

DockerSoftware Development

Education

KJ Somaiya College of Engineering, Vidyavihar

Masters in Computer Engineering

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