Aritra Chowdhury

About Aritra Chowdhury

I am an AI/ML leader with 10+ years of experience building and scaling enterprise-grade AI solutions in search, recommendation systems, computer vision, NLP, and generative AI. My work has impacted tens of millions of users worldwide, contributed to significant revenue growth, and advanced the field through 3 US patents and 20+ publications in top venues including CVPR, NeurIPS, and ISBI.Currently, as a Staff Data Scientist at Indeed, I lead cross-functional teams to design, deploy, and scale AI agents and machine learning models that enhance user engagement, optimize operational efficiency, and drive measurable business outcomes. Past achievements include delivering a deep learning–based resume matching system that enabled 1M+ additional hires annually, and developing company-wide AI evaluation metrics adopted in 50+ product experiments.My career spans Indeed, Heartflow, and GE Research and GE Healthcare, where I have directed high-impact AI initiatives, mentored teams, and bridged research and production to deliver solutions at scale. I thrive at the intersection of research, engineering, and strategy—transforming cutting-edge AI into business-critical products.

Experience

1. Staff Data Scientist

   Indeed

   Sep 2022 — Present · Seattle, WA, US

   AI Agent Ops Science team (July 2025 - Present):* Orchestrated improvements to agent routing evaluation, enhancing sampling quality for 20 agent evaluations and successfully rolling out the system to impact 15M jobseekers.Hired Signal team (Oct 2022 - July2025):* Spearheaded the first and only Indeed-wide experimentation proxy metric for quantifying time to hire. This guardrail metric has been used for 50+ A/B experiments.* Directed cross-functional team of data scientists and engineers to design and deploy a deep learning resume-matching model, driving +1M incremental hires/year, contributing 5% to company-wide key results.* Led the design and implementation of company and parent company (Recruit) wide initiative for measuring job search duration, successfully taking machine learning based anomaly detection model to production and generating predictions for 14.6M jobseekers.

Education

• The Don Bosco School

  High School Diploma

  1996 — 2009

• Rensselaer Polytechnic Institute

  Master of Science (MS), Computer Science

  2013 — 2016

• Rensselaer Polytechnic Institute

  Doctor of Philosophy (Ph.D.), Computer Science

  2013 — 2018

• Jadavpur University

  Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering

  2009 — 2013

Skills

• Matlab
• Linux
• Deep Lea
• Data Mining
• Algorithms
• Machine Learning
• C++
• Research
• Programming
• Python
• Latex
• Probabilistic Models
• Data Analysis
• Computer Vision
• Microsoft Office