# Vladimir P. > Senior Software Engineer (Java / Kotlin) | Distributed Systems | AWS | Ex-Mynd / Roofstock Location: San Francisco Bay Area, United States Profile: https://flows.cv/vladimirp Senior Software Engineer with 15+ years of experience building backend systems in Kotlin/Java, focused on distributed systems, data platforms, and AWS. At Roofstock (formerly Mynd), I built a large-scale property intelligence platform aggregating data for 100M+ U.S. properties from multiple sources. The system serves low-latency APIs and reduced property evaluation time by ~75%, enabling significantly higher throughput for analysts . My work centers on: designing scalable backend systems and APIs (REST, gRPC) solving data consistency and identity problems across multiple data sources building event-driven architectures and data pipelines working with SQL/NoSQL databases and AWS (S3, SQS, Lambda) I’ve also integrated LLM-based features into production workflows to automate validation, summarization, and improve data quality. Earlier in my career, I led a team of engineers, which helps me work effectively across product, data, and engineering teams. Currently exploring opportunities where I can work on large-scale systems and have meaningful product impact. (H-1B transfer ready) ## Work Experience ### Senior Software Engineer @ Roofstock Jan 2025 – Present | Oakland, CA Mynd merged into Roofstock - Built a centralized property intelligence platform aggregating 130M+ U.S. single-family homes (183 attributes, 13 data sources), served via gRPC/REST APIs on Snowflake Hybrid Tables. Cut property evaluation time from ~4 hours to ~1 hour, enabling analysts to process 4× more properties daily. - Designed a field-level source priority framework to automatically resolve conflicts across overlapping data providers — each attribute governed by its most authoritative source without manual reconciliation. - Engineered an event-driven enrichment pipeline (flood zones, school scores, AVMs, census, CBSA) using SQS to decouple 6 external enrichment services from the fast write path, keeping API latency within budget. - Built a global property identifier (GRID) service to normalize and deduplicate addresses across 13 sources using 2-tier normalization (SmartyStreets → internal parser), deterministic hashing, and DB-level uniqueness constraints to guarantee zero duplicates under concurrent writes. Implemented multi-level caching that cut third-party address validation costs by ~5× (450M → 75M annual calls). ### Senior Software Engineer @ Mynd Management Jan 2021 – Jan 2024 | Oakland, CA - Designed and built the Service Request platform from scratch — the core repair/maintenance system for 40K+ properties. Built as a CQRS event-driven modular monolith (430+ command/event handlers, 40+ gRPC integrations), automating ~75% of workflows with multi-level approvals, vendor auto-dispatch, and SLA tracking. - Built the Vendor Portal API (100+ endpoints) for 2,000+ vendors to manage end-to-end repair workflows. Reduced vendor onboarding time by 3× and job completion time by 25%. Integrated OpenAI into the Service Request pipeline to auto-summarize work orders, validate resident-submitted requests, and verify vendor-reported work — reducing manual triage and QA effort across both sides. - Built a multi-channel communication service processing 1M+ messages/month (SendGrid, Twilio, push, Slack) with event-driven async pipelines on DynamoDB and SQS. - Architected a company-wide Geo API, migrating legacy geography models to U.S. Census Regions and Divisions. Led cross-team coordination and migration planning, reducing reporting prep time by 20%. ### Engineering Manager @ Mynd Management Jan 2018 – Jan 2021 | Oakland, California, United States Mentored engineers, established SDLC practices, and improved delivery predictability from 65% to 85%, reducing time-to-market by 20%. ### Senior Software Engineer @ Mynd Management Jan 2016 – Jan 2018 | Oakland, California, United States ### Senior Software Engineer @ DataArt Jan 2012 – Jan 2016 | London Area, United Kingdom - Built a high-throughput messaging system (~20K orders/hour, millions of messages/day) for Ocado, the UK's largest online-only grocer. Implemented bi-directional integration connecting warehouse management to multiple e-commerce platforms using Kafka, Cassandra, and Apache Camel. - Developed backend services and APIs for an Analytical Reporting Enterprise System for a major Wall Street client, powering a spreadsheet-based interface that enabled analysts to query and aggregate data from heterogeneous sources (SQL databases, external services) in real-time. ### Software Engineer @ Sberbank Jan 2008 – Jan 2012 Developed various CLI tools for ETL processing, significantly improving data handling and processing efficiency. Designed various monitoring systems, enabling proactive maintenance. Collaborated with cross-functional teams to analyze and resolve technical issues, minimizing downtime and improving overall system reliability. ## Education ### Master's degree (5 years) in Mathematics and Computer Science Voronezh State University ## Contact & Social - LinkedIn: https://linkedin.com/in/vova-prudnikov --- Source: https://flows.cv/vladimirp JSON Resume: https://flows.cv/vladimirp/resume.json Last updated: 2026-04-01