# Shachi Vyas > Senior Software Engineer | Backend Systems & Data Infrastructure | Java · Python · Spring Boot Location: Santa Clara, California, United States Profile: https://flows.cv/shachi I'm a Senior Software Engineer with 7 years of experience building and modernizing backend systems and data infrastructure — often by inheriting broken systems and shipping measurable results. At Jobox.ai, I refactored a 4-hour ETL pipeline into modular SQL that ran in 12 minutes, unblocking the CEO, CTO, and five downstream teams. I built a real-time fraud detection system in Python and Apache Airflow that saved the data team 3 hours of manual review every day. And I partnered with the product team over 18 months on a marketplace launch that contributed to a 59% revenue increase. At Materialise, I led an end-to-end OWASP security audit across multiple Java and C++ products, designed a role-based access control system that closed a critical vulnerability exposing 30 team members, and rebuilt the company's XML processing layer to eliminate data inconsistencies in a distributed pipeline. Earlier, at Identify3D, I integrated two blockchain protocols — Hyperledger Sawtooth and Hyperledger Fabric — into an existing product ecosystem, and rebuilt a broken desktop application that was adopted by 25 team members and 3 clients. My stack: Java, Spring Boot, Python, SQL (PostgreSQL, Redshift, MySQL), Apache Airflow, AWS, and Docker. I bring security-first design principles to everything I build. I hold an M.S. in Information Technology from Carnegie Mellon and a B.C.A. from Devi Ahilya Vishwavidyalaya. I'm actively exploring Senior Software Engineer and Data Engineer roles. I'm open to sponsorship-friendly companies building systems at scale. ## Work Experience ### Software Engineer @ Materialise Jan 2023 – Present | Lexington, KY Led end-to-end OWASP security audit across Java and C++ products; identified and prioritized vulnerabilities by threat level, reducing privacy and compliance exposure. Designed and implemented a role-based access control system that closed a critical vulnerability allowing unauthorized full-environment access across a 30-person team. Built a scalable Spring Boot RESTful API to expose order data, reducing manual lookup requests from downstream teams. Replaced legacy string-based XML manipulation with a standardized library, eliminating data inconsistencies across a distributed order processing pipeline. Added granular application and user-level audit logging, improving security observability and enabling faster incident diagnosis. Developed early-stage 3D printing compatibility checks, catching parameter mismatches upstream and improving workflow reliability by 10%. ### Software Engineer @ Jobox.ai Jan 2020 – Jan 2023 | Palo Alto, CA Refactored a monolithic 4-hour ETL pipeline into modular SQL, reducing runtime by 95% (to 12 minutes) and enabling multiple daily runs — unblocking 5 teams including the CEO and CTO. Automated a manual investor reporting workflow that consumed 11 hours per week, cutting turnaround to 5 minutes and training teammates to own the system independently. Built a real-time fraud monitoring and alerting system using Python and Apache Airflow with Slack-based transaction flagging, saving the data team 3 hours of daily manual review. Partnered with the product team across an 18-month marketplace launch; analyzed pre- and post-launch platform behavior and contributed to a 59% increase in revenue. Designed a behavioral customer profile scoring system used daily by 8 team members to support fraud detection and sales prioritization. Built multi-timeframe customer support analytics enabling individual rep performance tracking, contributing to a 99% CSAT rating. ### Software Engineer @ Identify3D Jan 2018 – Jan 2020 | San Francisco Bay Area Rebuilt the frontend and backend of a broken Java desktop application; delivered a stable, cleaner version adopted by 25 team members and 3 external clients. Integrated two blockchain protocols — Hyperledger Sawtooth and Hyperledger Fabric — enabling read/write transaction history for data integrity and investor-facing compliance. Designed and documented a RESTful API suite for the web version of a desktop application, including JUnit test coverage and system architecture contributions. Revamped the error messaging system, replacing vague codes with granular, categorized responses that improved debugging speed across a 25-person engineering team. Developed test coverage for SQL injection and unauthorized access scenarios as part of end-to-end security testing. ### Software Engineer Intern @ Identify3D Jan 2017 – Jan 2018 | San Francisco Bay Area ## Education ### Master’s Degree in Information Technology Carnegie Mellon University ### Bachelor's degree in Computer Science Devi Ahilya Vishwavidyalaya ## Contact & Social - LinkedIn: https://linkedin.com/in/shachivyas --- Source: https://flows.cv/shachi JSON Resume: https://flows.cv/shachi/resume.json Last updated: 2026-04-11