I build data platforms and backend systems that ingest, move, and make sense of billions of records. Currently working on blockchain data infrastructure at Circle.
About
I’m a software engineer focused on data platforms and backend systems: the layer that quietly moves billions of records around and keeps everything else honest. I’ve been at Circle since 2021, where I work on blockchain ingestion, observability, and the pipelines that keep USDC reconciliation accurate.
Before Circle, I did a Master’s at UMBC where my thesis was on explainable-AI for lung-cancer CT scans, and a stint at LibraX building ML-backed ID verification.
Most days I’m writing Python or Java, drawing boxes-and-arrows on a whiteboard, or arguing with Kubernetes. Off-hours, usually cooking, traveling, or chasing a side project that may or may not ever ship.
Stack
Languages
Data
Cloud & Infra
Tools
Selected work
Designed a highly adaptable multi-threaded framework for real-time blockchain ingestion at Circle. Cut new-chain onboarding from 2 months to 3 weeks. Streams to BigQuery, Pub/Sub, and Dataflow on Kubernetes.
Built a machine learning service from the ground up as a gateway to AWS SageMaker. Helped identify fraudulent card payments, saving roughly $1M every quarter.
Python workflow plus a custom Cosmos client for ingesting the data needed to reconcile USDC account balances across chains.
Built 70+ pipelines ingesting Circle’s internal services into Snowflake. Automated DDL generation and rolled out RBAC across the org for tighter data access.
Instrumented ingestion services with OpenTelemetry and dogstatsd. Exported traces and metrics to Datadog, with on-call alerts for streamer downtime.
Master’s thesis at UMBC. CT-scan analysis using a U-Net segmentation model plus graph-based analysis for lung nodule identification, integrated with an explainable-AI classifier on the LIDC dataset.
Path
Jan 2023 - Present
Remote
Building the data infrastructure that powers blockchain ingestion at Circle. Shipped a multi-threaded ingestion framework, OpenTelemetry/Datadog observability, a custom Cosmos client for USDC reconciliation, and a refactor of the RDS pipeline that pushed data availability to 99%. Mentor junior engineers through weekly technology deep dives.
Jul 2021 - Dec 2022
Remote
Shipped 70+ data pipelines into Snowflake with automated DDL generation, rolled out role-based access control across the warehouse, and built a ML gateway to AWS SageMaker that helped catch fraudulent card payments at $1M+/quarter scale.
Feb 2021 - Mar 2021
Baltimore, MD
Designed and shipped LibraX's ID-verification API in a month: a Flask service blending ML and fuzzy logic on Azure (API Management, Containers, Key Vaults, Table & Blob storage). Optimized the fuzzy search path for low latency and integrated Auth0 for custom JWT tokens.
Jan 2020 - May 2021
Baltimore, MD
Thesis: "Lung Nodule Segmentation for Explainable AI Cancer Screening." Built a CT-scan analysis pipeline combining U-Net segmentation with graph-based nodule identification, integrated with an explainable classifier for malignancy and biomarker prediction on the LIDC dataset.
Education
University of Maryland, Baltimore County
M.S. in Computer Science
Aug 2019 - May 2021
Baltimore, USA
University of Mumbai
B.E. in Computer Engineering
Jul 2015 - Jun 2019
Mumbai, India
Contact
Got an interesting problem? A team to grow? An idea that needs a second brain? I’d love to hear about it.