# Prabal T. > Software Engineer Location: Redwood City, California, United States Profile: https://flows.cv/prabal I am an experienced, versatile and entrepreneurial Staff-level Engineer and an effective, empathetic and data-driven Engineering Manager with Data Platform / Data Engineering expertise and ML / AI Engineering experience. Like life, I see career as not a ladder, but a portfolio of experience filled with learning, growth, joy and camaraderie. I am passionate about Software Development, Data Systems and Machine Learning / AI. =============================== Technical expertise / areas of experience =============================== - Data Engineering & Data Platform (data architecture, data lakehouse, batch and stream processing, distributed computing, data modeling, data quality and observability, data warehouse design, data access and security) - ML / AI Engineering (ML theory, architecting ML systems, building ML pipelines and services, experiment tracking and reproducibility, feature store, model deployment and monitoring, RAG, LLM evaluations and guardrails, AI Agents) - Backend Engineering (API design and development, service oriented architecture, REST, gRPC) ================================ Languages and Tools ================================ Programming language: Python, SQL, Go, Scala, Node.js (Typescript), Flutter (dask) AI tools: Claude Code, Cursor, Gemini CLI, ElevenLabs Some of the tools I have used recently: Iceberg, GCP Pub/Sub, BigQuery, Fivetran, Postgres, Pinecone, Looker, DBT, Airflow, Datadog, OpenLineage, OpenMetadata, GCP Vertex AI, Docker, Kubernetes, Terraform, Supabase, Firebase Other tools used in the past: SQS/SNS, Spark, Snowflake, MLFlow, Sagemaker, Tableau, PyTorch / FastAI, FastAPI, Prometheus, Grafana ## Work Experience ### Software Engineer @ Suki Jan 2026 – Present | Redwood City, CA Responsible for designing, building and maintaining backend services (Go / gRPC / Protobuf) and AI / LLM infrastructure and pipelines (Iceberg, BigQuery, Airflow, Docker, Label Studio) for medical code (CPT / ICD) generation and evals to enhance Suki’s clinical intelligence capability ### Staff Software Engineer @ Maven Clinic Jan 2024 – Jan 2026 | San Francisco Bay Area As a Staff Engineer in the Data Platform Engineering team, I redesigned the data architecture to improve data governance, security and adoption and led Operational Excellence effort focused on data platform / pipelines observability improving data freshness, compute cost, data quality metrics and incident resolution SLAs. ### Senior Engineering Manager @ Hippo Insurance Jan 2020 – Jan 2024 | Palo Alto, California, United States An an EM, led a team of 5+ engineers and drove technical rigor through design reviews, observability dashboards, and incident postmortems. Guided the team towards reducing compute cost and evolving core data models while retaining and growing a group of talented engineers. As an IC, worked on data platform and pipelines, core backend services focused on property data ingestion + risk scoring, and production grade ML pipelines to build the data foundation necessary in preparation for Hippo going public (and scaling) as well as to improve its Underwriting outcomes through effective risk modeling (using ML and traditional actuarial approaches). ### Senior Software Engineer @ Sonder Inc. Jan 2019 – Jan 2020 | San Francisco, California, United States I contributed towards both modeling (DS/ML) and backend / data / ML engineering efforts while working on important Data Science problems in Dynamic Pricing and Underwriting / Revenue Forecasting. In the spirit of data-centric AI, we focused on building pipelines for data acquisition to acquire new and interesting datasets, feature engineering, MLOps, and building the backend to make data science iterations/experiments systematic, reproducible and fast. ### Senior Machine Learning Engineer @ Agilent Technologies Jan 2017 – Jan 2019 | Santa Clara, California, United States At Agilent, I led the development of human-in-the-loop Machine Learning (Collaborative Filtering) powered Recommendation Engine for the digital business (homepage and search) that resulted in several fold increases in different engagement and revenue metrics. We used Spark for large scale data analysis and to build feature engineering and ML training pipelines and also ran experiments to improve the relevance of recommendations. ### Big Data Engineer @ BlackRock Jan 2010 – Jan 2016 | New York, NY / San Francisco, CA - Architected and built automated and highly scaled data pipelines to generate analytics for BlackRock's institutional clients portfolios and retail products - Helped expand BlackRock's analytics infrastructure within the Aladdin® platform by building automation scripts and libraries for distributed computing and report generation ### Quantitative Research Intern @ Evolution Capital Management Jan 2009 – Jan 2010 | Sausalito, CA Worked part-time while attending graduate school and built trading models using Matlab. ### Teaching Assistant @ Stanford University Jan 2009 – Jan 2010 | Stanford, CA Taught 2 weekly sessions and conducted office hours for Introductory Macroeconomics class. Received full tuition plus stipends. ## Education ### Master of Science in Management Science and Engineering Stanford University ### B.Eng in Electrical Engineering, Mathematics Vanderbilt University ### International Baccalaureate Diploma in English, Physics, Mathematics, Chemistry, Spanish, History International School Bangkok ### Fellow in Data Science The Data Incubator ## Contact & Social - LinkedIn: https://linkedin.com/in/prabaltiwaree --- Source: https://flows.cv/prabal JSON Resume: https://flows.cv/prabal/resume.json Last updated: 2026-03-29