Surjit Singh
Data and AI @ Google | Specializing in Production-Grade Data and AI Systems
- Role
- Data and Ai Engineer at Google
- Location
- Boston, MA, US
- LinkedIn followers
- 500 followers
About Surjit Singh
I build data systems that move fast and think smart. With 7+ years across finance, healthcare, and retail.Currently at Google, I design real-time pipelines, AI agents, and cloud architectures that translate messy, high-stakes data into measurable outcomes. From cutting intraday trading latency from 15 minutes to under 1 minute, to deploying an AI agent that reduced fresh produce waste by 30%, I\'m drawn to problems where the data architecture itself is the competitive advantage. What I work with: Cloud: GCP (Dataproc, Dataflow, BigQuery, AlloyDB, Cloud Composer, Pub/Sub) · AWS (Redshift, Glue, EMR, Lambda, Athena) Big Data: PySpark · Kafka · Apache Beam · Databricks · Hadoop · Hive 🤖 AI & Agents: Generative AI · Agent Development Kit (ADK) · Agent Engine · RAG Engineering: Python · SQL · Airflow · Terraform · CI/CD · Git Data Concepts: HL7 · FHIR · CDC · Medallion Architecture · Data Modeling · Data Governance A few things I\'m proud of: → Cut intraday trading data processing from 15 minutes to under 1 minute → Developed and Deployed an AI agent reducing fresh produce waste by 30%→ Optimized open-enrollment APIs from 3 seconds to 200ms response time → Architected a real-time CDC pipeline migrating complex mainframe claims data to GCP → Published open-source Dataproc Templates cutting cloud migration setup time by 40% → Reduced anomaly detection time from 30 days to 1 day Certifications: GCP Professional Data Engineer · GCP Professional ML Engineer · AWS Certified Solutions Architect
Experience
Data and Ai Engineer
Mar 2022 — Present · Cambridge, MA, US
Education
Syracuse University
Master's degree, Applied Data Science
2019 — 2021
University of Mumbai
Bachelor of Engineering (BE), Computer Engineering
2012 — 2016
Thomas Baptista College
HSC, Science
2010 — 2012
Holy Family Convent High School
SSC
2005 — 2010
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