atharva.

Hi, my name is

Atharva Muley.

I build data platforms that move billions of records.

A little about me

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.

Tampa, FL

Work

  1. 2024Circle

    Blockchain Ingestion Framework

    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.

    Java · Kubernetes · Pub/Sub · Dataflow · BigQuery

  2. 2022Circle

    Fraud Detection ML Service

    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 · AWS SageMaker · ML

  3. 2023Circle

    USDC Reconciliation Pipeline

    Python workflow plus a custom Cosmos client for ingesting the data needed to reconcile USDC account balances across chains.

    Python · Cosmos SDK · Blockchain

  4. 2022Circle

    Snowflake Data Platform

    Built 70+ pipelines ingesting Circle’s internal services into Snowflake. Automated DDL generation and rolled out RBAC across the org for tighter data access.

    Snowflake · Airflow · Python

  5. 2024Circle

    Observability with OpenTelemetry

    Instrumented ingestion services with OpenTelemetry and dogstatsd. Exported traces and metrics to Datadog, with on-call alerts for streamer downtime.

    OpenTelemetry · Datadog · Java

  6. 2021UMBC

    Lung Nodule Segmentation

    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.

    PyTorch · U-Net · Medical Imaging

Where I’ve worked

  1. Jan 2023 - PresentRemote

    Software Engineer II

    Circle Internet Financial

    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.

  2. Jul 2021 - Dec 2022Remote

    Software Engineer

    Circle Internet Financial

    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.

  3. Feb 2021 - Mar 2021Baltimore, MD

    Machine Learning Engineer Intern

    LibraX.ai

    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.

  4. Jan 2020 - May 2021Baltimore, MD

    Research Assistant

    University of Maryland, Baltimore County

    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.

Aug 2019 - May 2021

University of Maryland, Baltimore County

M.S. in Computer Science

Jul 2015 - Jun 2019

University of Mumbai

B.E. in Computer Engineering

  • Python
  • Java
  • SQL
  • Bash
  • Airflow
  • Snowflake
  • BigQuery
  • Pub/Sub
  • Dataflow
  • Superset
  • DataHub
  • AWS (EC2, S3, Lambda, EKS)
  • AWS SageMaker
  • GCP
  • Kubernetes
  • Docker
  • OpenTelemetry
  • Datadog
  • Git
  • Linux
  • Python
  • Java
  • SQL
  • Bash
  • Airflow
  • Snowflake
  • BigQuery
  • Pub/Sub
  • Dataflow
  • Superset
  • DataHub
  • AWS (EC2, S3, Lambda, EKS)
  • AWS SageMaker
  • GCP
  • Kubernetes
  • Docker
  • OpenTelemetry
  • Datadog
  • Git
  • Linux