About me

I am a Software Engineer focused on backend systems, DevOps, and AI-enabled tooling. At Accenture I work on microservices, RAG-based retrieval pipelines, and secure Azure OpenAI integrations, while also contributing to open-source projects across Kubernetes and the broader cloud-native ecosystem. I like turning complex infrastructure and platform problems into reliable, measurable systems. My work spans Go, Python, Java, Kubernetes, Docker, Terraform, AWS, Azure, and modern AI/ML tooling.

What I'm doing

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    Backend & Platform Engineering

    Designing services and platform workflows with Go, Java, microservices, Kubernetes, Docker, Terraform, AWS, and Azure.

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    Open Source Contributions

    Contributing to Kubernetes SIGs, Keptn Lifecycle Toolkit, and OpenShift ecosystem projects with merged PRs and issue fixes.

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    Cloud & AI Systems

    Building RAG pipelines, Azure OpenAI integrations, and cloud-native deployments for production workloads.

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    Automation and Scripting

    Creating CLI tools, pipelines, and automation around YAML, Docker, Kubernetes, and developer workflows.

Resume

Education

  1. Noida Institute of Engineering and Technology

    Dec 2020 - May 2024

    Bachelor of Technology with specialization in AI, G.Noida, INDIA

Experience

  1. Associate Software Engineer

    Aug 2024 - Present

    Accenture, Gurugram, India

    • Improved backend efficiency by 15% through optimized microservice orchestration and API design.
    • Built a RAG-based document retrieval pipeline using FAISS and Azure OpenAI for contextual search.
    • Integrated Azure OpenAI with Microsoft Entra ID using secure OAuth 2.0 authentication.
    • Developed embedding pipelines for semantic search and resolved issues across backend, networking, and AI systems.

  2. DevOps Engineer

    Dec 2023 - Aug 2024

    Fintricity, Remote, India

    • Deployed CNOE on AWS using EKS, ArgoCD, Terraform, and EC2, reducing setup time by 40%.
    • Implemented Flowise on Azure using Docker for scalable LLM-based workflows.
    • Provisioned MageAI on AWS using Terraform, Helm, and Kubernetes, improving ML pipeline automation by 30%.
    • Built cross-cloud data ingestion pipelines for centralized analytics and monitoring.

Projects

  1. Kubernetes Contributions

    GOLANG, YAML, JS

    • Contributed to Kubernetes SIGs, Keptn Lifecycle Toolkit, and the OpenShift CSI Driver Operator with merged PRs.
    • Worked on Pod secret management, kubectl enhancements, and OpenShift ecosystem issue resolution.

  2. GO CI/CD Pipelines

    Go, OpenShift, ArgoCD

    • Built a GitOps-based CI/CD pipeline using OpenShift Pipelines and ArgoCD for automated deployments.
    • Reduced deployment time by 70% through streamlined testing and deployment workflows.
    • Integrated GitOps workflows and automated rollback strategies for improved deployment reliability.

  3. System Monitoring Dashboard

    Python, FastAPI, Docker, Prometheus, Grafana

    • Developed a real-time monitoring dashboard using FastAPI, Prometheus, and Grafana for system metrics visualization.
    • Integrated AI-powered performance suggestions using scikit-learn and pandas.
    • Containerized services using Docker and integrated GitHub Actions for automated deployment.

  4. Ivy-Unify

    Python, Flask, API

    • Worked as a code contributor on the JAX frontend and APIs in the Ivy-Unify project.
    • Added mathematical functions to the JAX frontend, including jax.numpy.round, block, and resize.
    • Fixed instance methods for the NumPy frontend and added RawOps operations for TensorFlow.

  5. Codewise CLI

    Golang, YAML, Docker, Kubernetes

    • Developed a DevOps-focused CLI tool to streamline JSON↔YAML conversion, Dockerfile generation, Kubernetes manifests, and Base64 utilities.
    • Added template rendering for dynamic GitHub Actions workflows and ArgoCD app manifests.
    • Implemented reusable command flags and Dockerized the CLI for portable usage.
    • Documented the project with a professional README and structured automation workflows for open-source contribution.

  6. Authorization and Authentication API

    GOlang, YAML, K8s

    • Designed a role-based authentication API using Go with JWT-based authentication and organizational access control.
    • Deployed the API on Kubernetes using Helm manifests with support for multi-user administration.

My skills

  • Go
    92%
  • Python
    88%
  • Java
    82%
  • Kubernetes
    90%
  • Cloud & DevOps
    89%
  • AI/ML Tooling
    84%

Projects

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