Resume

Working as a Technology Architect in the Research and Development (R&D) focused Infosys Center for Emerging Technology Solutions (iCETS) department, focusing on incubating NextGen services and offerings. Involved in identifying and building technology capabilities to accelerate innovation in areas including AI & ML, cloud technologies, and advanced analytics. Deployed NixOS-based AI sandbox environments on HPE bare-metal servers for rapid prototyping and model experimentation. Contributing to the development of emerging technology solutions that help enterprises navigate their digital transformation journey through adaptive systems, automation, and cognitive solutions.

Architecting and maintaining a microservices platform for NYC commercial real estate intelligence. Built a dealflow automation pipeline with AI-powered email classification using ReACT-style agentic loops, autonomous browser automation, and LLM-based document processing. Developed a geocoding service with sub-20ms query latency. Created high-throughput ACRIS document scrapers. Managing large-scale property datasets with PLUTO zoning and tax data integration. Full NixOS production infrastructure with ZFS, Terraform, Podman, and comprehensive Prometheus/Grafana monitoring. Tech stack spans Rails 8, FastAPI, Go, React, PostgreSQL/PostGIS, Elasticsearch, and AWS.

Worked within a small engineering team and maintained the AWS infrastructure, monitoring, and all things CI/CD related. Spent a good amount of effort to drastically reduce our applications operating costs by about 45%. Built out custom monitoring, including Prometheus exporters. Did a lot of work with GitHub Actions, and leveraged self-hosted runners for faster pipelines.

Worked directly with a small and highly talented team of engineers to maintain and improve an AWS infrastructure for an event-driven, and very active application. This role required me to become familiar with Cassandra, and InfluxDB and ensure we stayed ahead of the curve on scaling both as we had very massive data sets. In addition to the usual DevOps/SRE tasks, I assisted in mitigating multiple attacks on the infrastructure regularly.

Worked closely with software engineering teams to build out a reusable and modular terraform covering a very specific application stack on AWS. Managed & monitored around 15 different AWS accounts owned by customers. Set up custom monitoring and VPN solutions as well as maintain CI/CD pipelines and improve build times.

Built out a private cloud on bare metal servers using Apache Cloudstack. Built out infrastructure that ran on top of the private cloud. All of this work was infrastructure as code using Ansible, Terraform, Packer, and Docker.

Building awesome stuff, with an amazing team. Initially hired into a SysOps/DevOps role which also included R&D work and building proof of concepts for various products. Was quickly promoted to Director of Infrastructure where I became responsible for managing the operations team, and all production infrastructure. Extensive work with AWS, Kubernetes, Docker, Terraform, and CI/CD pipelines. Created automated pipelines for an existing production application drastically reducing deployment times.

Hired as a Systems Administrator for shared hosting operations, and later progressed into an Engineering role on the Hosting Automation Team. Managed a mixed Windows/Linux production environment. Daily tasks included mitigating network attacks, monitoring infrastructure, resolving system configuration, performance, and capacity issues. I later transitioned into an engineering role where our team automated most of the daily operational tasks, reducing the workload of the operations team as well as decreasing downtime across the environment.

Brought on board to take over management and monitoring for a range of enterprise applications. Responsibilities included application deployment, incident triage, and troubleshooting Linux and Windows environments. Promoted to System Administrator II after demonstrating an aptitude for tackling complicated infrastructure problems from availability to disaster recovery.