Golang & System Design
High-performance Go services, distributed systems (Raft consensus, actor model), gRPC APIs, and event-driven architectures with NATS messaging.
Stack
- Go
- gRPC
- Distributed Systems
- NATS
- REST APIs
- PostgreSQL
principles — don't fail + run effortless + stay efficient
Kubernetes, Go, OpenTelemetry. Deep-dives on DevOps and distributed systems — efficiency is the goal, not an afterthought.
Consulting and engineering for modern infrastructure — Software Development, DevOps, cloud-native systems, and sustainable computing.
High-performance Go services, distributed systems (Raft consensus, actor model), gRPC APIs, and event-driven architectures with NATS messaging.
Stack
CI/CD pipelines, infrastructure automation, deployment dashboards, and self-hosted runner architectures. From GitHub Actions to ArgoCD GitOps workflows.
Stack
Multi-cloud Kubernetes deployments (EKS, GKE, AKS, K3s), cluster lifecycle management, Helm charts, and production-grade infrastructure with Terraform.
Stack
Carbon-aware provisioning, cost optimization, OpenTelemetry instrumentation, Prometheus/Grafana monitoring, and resource-efficient cloud workloads.
Stack
OpenTelemetry-native workload intelligence for Kubernetes. Per-image-version cost and efficiency profiling, release-over-release diff, workload classification, and Quick Wins ranked by savings with ready-to-use kubectl commands. Guided Observability wires metrics, logs, traces, and Kepler energy data through an OTel Collector bridge — bring your own Prometheus/Tempo/Loki/Grafana or let Kubmin deploy them. Supports existing cluster import (EKS, AKS, GKE Standard, kubeconfig). Powered by Kepler (CNCF) and aligned with the Green Software Foundation.
Open-source tools and systems I've built and shipped.
proj
Security-focused evaluation benchmarks for AI coding agents. Tests whether agents can perform real-world incident response — investigating a compromised production server, removing attacker backdoors, restoring SSL/TLS chains, fixing nginx configs, and hardening Go services — all inside Docker-based infrastructure using the Harbor evaluation framework.
proj
proj
A curated skill library for AI agents, enabling modular capability composition and reuse across agent architectures.
What people I've worked with have to say about my work and contributions to their projects.
I am pleased to write this recommendation for Dipankar, who I've worked alongside on the "ksctl" project initiated at Kubesimplify. Dipankar has demonstrated exceptional expertise within the cloud-native ecosystem, showcasing not only his deep understanding but also his ability to drive and expand projects with significant impact.
From the onset of the ksctl project, Dipankar assumed a pivotal role, single-handedly steering it towards success with his dedication and technical skills. His ability to handle complex challenges and transform them into strategic opportunities is truly commendable.
— excerpted · full recommendation on LinkedIn ↗
I've had the pleasure of working alongside Dipankar at CNCF, where we both contribute to the Green Reviews working group, measuring the environmental impact of CNCF projects by building a CI/CD pipeline to measure their energy consumption and collect related metrics.
Dipankar was one of our first and most active contributors. His knowledge of the cloud-native ecosystem and passion for green software practices make him an asset to the team. In addition to contributing code and implementing complex features, he is an active participant in code reviews and community meetings, bringing valuable feedback.
— excerpted · full recommendation on LinkedIn ↗
I've had the pleasure of working with Dipankar at CNCF, where we both contribute to the Green Reviews working group. The goal of the group is to set a vision for CNCF sustainability and energy measurements of different projects across releases.
Dipankar was able to join the technical discussion and deliver some important milestones for the project like the development of a Prometheus client to query the sre and sustainability metrics produced by our infrastructure set up in k8s.
— excerpted · full recommendation on LinkedIn ↗
As Dipankar’s manager, I’ve seen his strong research-driven approach to Kubernetes and observability tools like Grafana and Prometheus. He brings solid Terraform skills and contributes effectively to infrastructure automation. A dependable engineer who approaches problems thoughtfully and delivers practical solutions.
DevOps consulting, Kubernetes audits, Go service design, or just a 30-minute sanity-check on your platform — start with whatever feels right.
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