Career Profile

Staff Engineer focused on cloud platform and reliability engineering. I design and run large-scale infrastructure on Kubernetes with Terraform and GitOps, build vendor-agnostic observability (OpenTelemetry), and make distributed systems — including blockchain and stablecoin platforms — secure, scalable, and resilient.

Experiences

Staff Engineer — Platform / Reliability

Jan 2023 - Present
Ripple — Toronto, Canada (Remote)

Designed and built the RLUSD stablecoin infrastructure on Amazon EKS using Terraform, ArgoCD (GitOps), and Istio, with passwordless IAM/Vault auth and Okta/Auth0 multi-tenancy (SAML/OIDC). Built a zero-code OpenTelemetry framework unifying logs, metrics, and traces across 100% of clusters. Architected database-coordinated idempotency (SQS/SNS, DLQ, optimistic locking) for exactly-once blockchain processing, and a Golang RPC proxy with circuit-breaker failover for zero-downtime connectivity. Cut infrastructure cost ~30% through IaC standardization and reusable Terraform modules.

Staff Engineer — Cloud Platform / Developer Excellence

Nov 2020 - Dec 2022
Lookout — Toronto, Canada (Remote)

Led design of a FedRAMP-compliant Google Cloud platform built with Terraform. Stood up a Jenkins-on-Kubernetes CI/CD platform with Helm, taking code from GitHub Enterprise commit to production via Jenkins, JFrog Artifactory, and Spinnaker. Integrated the ELK stack and Datadog custom-metrics auto-discovery for observability.

Technology Associate

Aug 2019 - Nov 2020
Morgan Stanley — Montreal, Canada

Led design and implementation of features to preprocess and analyze firm-wide data, generating metrics on DevOps and Agile practice adoption.

Solution Developer

Feb 2019 - Aug 2019
Deloitte — Montreal, Canada

Designed and built end-to-end data-processing applications using big-data technologies and cloud services, and analyzed processed data to derive actionable insights.

Software Developer (Intern — Data & Pipelines)

May 2017 - Sep 2018
McGill Center for Integrated Neuroscience — Montreal, Canada

Delivered projects on containerization, deployment, and management of research applications, including EEG and neuroimaging workflows.

Software Developer

Feb 2013 - Apr 2016
AC Nielsen (TCS Client) — Chennai, India

Java developer for a data-warehouse backend (IBM Netezza) running daily batch ETL of customer-insights data.

Projects

Few Projects

Reproducibility Pipeline - A framework to check the reproducibility of experiments in neuroscience pipelines.
Docker Images for Human Connectome Pipeline - Human Connectome preprocessing pipelines as docker images which can be used in any high performance computing platforms which supports docker.
Thesis Template with continous integration - Thesis template for Concordia University. The contionus integration using Travis makes sure that the tex file is compilable

Research & Talks

Investigator Presentation — INCF 2017 - Presented my thesis, "A framework for evaluating the reproducibility of neuroimaging pipelines across operating systems," at the INCF Conference, Kuala Lumpur, Malaysia.
Brain Imaging Data Structure Hackathon — Stanford University (2017) - Built a pipeline using the Apache Spark engine to speed up neuroimaging pipelines.
NeuroHackWeek — University of Washington (2017) - Selected as one of 60 participants; applied machine learning and data-visualization techniques used in the neuroimaging community.

Skills & Proficiency

Kubernetes

Terraform & IaC

AWS & Google Cloud

Observability (OpenTelemetry, ELK, Grafana)

CI/CD (ArgoCD, Jenkins, Spinnaker)

Golang

Python

Java