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Cloud & Platform Engineer

Systems that stay calm under pressure.

Currently

Chat, collaborate, or build something. All welcome.

Based in

New York City · United States

Focus

I build reliable cloud platforms, delivery systems, and automation that help teams move with confidence.

I deploy and operate infrastructure across cloud regions and data centers for teams where downtime is expensive: trading desks, robotics fleets, biotech pipelines. The goal is always the same. Provision cleanly, fail predictably, stay understandable.

Now
Production Engineer at Goldman Sachs, on the systems behind global FICC trade flow
Depth
6 years across cloud infrastructure and system reliability in high-consequence spaces: Finance, Physical AI, and Biotech
Focus
Platform Reliability, Automation, and Infrastructure that explains itself
Also
Building Foreperson.ai
  1. Goldman Sachs

    Production Engineer, Associate

    Oct 2025 — Present

    Skills:Python,Bash,FIX Protocol,Linux,Observability

  2. Trossen Robotics

    Cloud Infrastructure Engineer

    Aug 2025 — Oct 2025

    Skills:AWS EKS,Kubernetes,Helm,Terraform

  3. Kais Associates

    Cloud Engineer

    Oct 2024 — Jul 2025

    Skills:AWS Lambda,DynamoDB,EventBridge,Python,Cloud Build

  4. Moderna

    Cloud and Infrastructure Engineer

    Jul 2023 — Dec 2023

    Skills:CloudFormation,Go,EC2,EventBridge,SNS

  5. Persistent Systems

    Software Engineer

    Aug 2020 — Aug 2022

    Skills:GCP,Pub/Sub,Dataflow,GKE Anthos,Kubernetes

Construction document intelligence · Designed and built end to end

Foreperson.ai

Problem

A single construction job carries thousands of pages of contracts, specs, drawings, RFIs, and submittals. The answer to any given question is almost always in there. Finding it means reading, and the people who need the answer have the least time to read.

Contribution

I built the product end to end: the retrieval and reasoning layer, the API, the interface teams actually work in, and the infrastructure it runs on.

Solution

Documents land in S3 and are indexed twice: dense embeddings for meaning, BM25 for the exact clause numbers and part codes that embeddings lose. Questions are answered against the source rather than a summary, so every answer traces back to the page it came from. Teams raise RFIs, log action items, and generate daily reports without leaving the documents behind.

Outcome

Running in production on AWS: a FastAPI and PostgreSQL backend behind a Next.js frontend, transactional mail through SES, Cloudflare in front, and Sentry watching both halves. It ships continuously and serves real project teams.

Skills:FastAPI,Next.js,PostgreSQL,AWS,Hybrid RAG,TypeScript

Certificate

Earned
Credential
Download certificate
  1. Northeastern University

    Master of Science, Software Engineering

    Boston, MA
  2. Ramdeobaba University

    Bachelor of Engineering, Electronics Design Technology

    Nagpur, India

Let's talk about platforms, reliability, and delivery.