Hi, I'm
18 yrs · 0 mo · 11 days building & operating production infrastructure at scale
Real results delivered through SRE practices, cloud automation, and platform engineering.
AWS Cloud Platform Engineer and DevOps specialist with 18 yrs · 0 mo · 11 days of experience designing, automating, and operating production infrastructure at scale. Currently building AWS-native infrastructure using Terraform, Kubernetes (EKS), and Python-driven automation — delivering CI/CD pipelines, containerised workloads, infrastructure-as-code, and full-stack observability for SaaS platforms.
Proven track record of leading cloud migrations, establishing SRE best practices, and mentoring engineering teams. Experienced across a broad range of industries including financial services, networking, IT services, and enterprise SaaS.
Passionate about automation-first thinking, clean infrastructure design, and building systems that are not just functional, but resilient, observable, and easy to operate.
Currently deepening expertise in MLOps and AI infrastructure — with a clear ambition to bridge DevOps and machine learning: orchestrating model training pipelines, managing GPU compute, and operating large-scale distributed systems in HPC environments. Drawn to the engineering challenges that sit at the intersection of infrastructure, performance, and intelligent systems.
Pipelines are not just for apps — the same principles apply across infrastructure, models, and data.
High-impact professional work spanning cloud platforms, SRE, and systems engineering
Brought in to lead the migration of RunMyJob (RMJ/RMF) — Redwood's flagship SaaS workload automation product — from a production Docker Swarm platform to EKS. Began by taking full ownership of the legacy infrastructure to deeply understand its application architecture, services, and networking — the foundation required to design the EKS target state.
uv and linting to ruffEstablished SRE culture across the organisation, reducing system downtime by 20% through structured incident response frameworks and modernising legacy automation.
Led a 7-person team managing production-critical AIX 5.3 on IBM Power 5 for a leading German telecom operator's UK subsidiary — with zero vendor support, as the market had moved on to IBM Power 8.
Designed and built a Jenkins-based CI/CD pipeline in Groovy for a leading US airline's shop-and-purchase web application, hosted on IBM WebSphere across a 5-node cluster with DR and Production environments.
Delivered a self-service AWS provisioning platform for a UK financial regulatory authority's data science team — enabling data scientists to request ad hoc EC2 environments for experimentation without infrastructure team involvement.
Architected and delivered a greenfield HPC-class infrastructure for a leading UK manufacturer — from bare-metal networking and high-performance SAN storage through to parallel filesystem and clustered database deployment. The same technology stack (GPFS, high-density Power nodes, HA clustering) underpins modern AI and HPC compute clusters.
Continuous learning and experimentation with modern DevOps and MLOps practices
Personal POC implementing a complete, industry-standard MLOps lifecycle — built and operated as a production-grade pipeline from the ground up using Databricks and Spark.
A Streamlit-based shopping cart app with an embedded AI chatbot — users browse products and converse with a bot in the same interface. Built with a dual-database RAG architecture and wrapped in a production-grade, security-enforced CI/CD pipeline.
Exploring IaC-driven deployment of HPC infrastructure using AWS ParallelCluster — with Kubernetes and the Slurm operator (SlinkyProject) running on top. Also evaluating Floci as a complementary tool in the HPC orchestration space.
Personal POC building a local Kubernetes cluster with kind to demonstrate end-to-end observability — covering metrics, logs, traces, GitOps, and service mesh on a single cluster. No GPU workloads; purely focused on cloud-native observability patterns.
kind as a lightweight, reproducible environmentkind cluster using OpenTelemetry, Prometheus, Grafana, ArgoCD, and Istio service meshCloud Native Computing Foundation (CNCF)
Amazon Web Services
IT Service Management
CloudBees / Jenkins
IBM / Docker
Scrum Alliance
DevOps Institute
Python Institute
IBM
Red Hat
IBM
IBM
IBM
Duke University / Coursera
I have seen Nikhil as the utmost proactive DevOps Architect and forward thinker. Many times he has been a great technical consultant for me as a reference point. He is really a premium asset for the team.
Nikhil is a Great Guy, wonderful person to work with. He can be a Gem in any Organisation.
Tech savvy, self-motivated professional with a strong drive to deliver results.
I had the pleasure of working closely with Nikhil on several projects, and I can confidently say he is an exceptional colleague. His ability to collaborate effectively, communicate clearly, and bring creative solutions to challenges made a significant impact on our team's success. Nikhil consistently demonstrated reliability and dedication, ensuring tasks were completed on time and with high quality. Beyond his professional skills, he brought positivity and encouragement to the workplace, making him a valued team member and a joy to work with.
I had the pleasure of managing Nikhil at Cognizant, where we worked together on the UK's leading payment gateway project, based at the client's Basildon, UK office. Nikhil is a technically strong engineer with solid hands-on experience in Kubernetes infrastructure and performance tuning. During our time together, we worked extensively on tuning an on-prem Kubernetes cluster setup, and Nikhil consistently showed great ownership, a methodical approach to problem-solving, and a collaborative attitude under pressure. I would strongly recommend Nikhil to any team looking for a skilled and dependable infrastructure engineer.
Open to new opportunities in Cloud Platform Engineering, DevOps/SRE, and Platform Engineering roles. Whether you have a role in mind or just want to talk infrastructure, I'd love to hear from you.