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Vaibhav C.

Backend Platform Engineer specializing in distributed systems, secure device identity, operational automation, and AI-enabled backend services.

Hyderabad

10+ years of work experience

Persistent Systems
Mar 20266 mosPresent

Designed normalized relational schemas supporting secure multi-tenant data management. Redesigned authorization data model, replacing denormalized role mappings with normalized relationship tables to improve auditability and data integrity. Built GraphQL APIs using AWS AppSync and Lambda for a serverless clinical platform. Resolved architectural dependency issues in onboarding workflows, enabling reliable tenant provisioning. Collaborated with product and platform teams to deliver backend capabilities for a regulated healthcare application.
Doran Jones Inc.
Nov 20244 mosFeb 2025

Remote

Designed and implemented an internal knowledge retrieval system using document ingestion, embeddings, and vector search. Integrated advanced PDF parsing to extract structured data from complex technical and operational documents. Built the system as read-only, explainable, and fully isolated from production environments to meet security and compliance requirements. Worked closely with engineering and delivery teams to align the system with existing internal workflows and client constraints.
Doran Jones Inc.
Oct 20245 mosFeb 2025

Engineered an internal AI knowledge retrieval platform using embeddings and vector search to enable semantic search across enterprise documentation. Integrated Google Document AI pipelines for automated PDF parsing and structured document extraction from large document repositories. Designed metadata indexing workflows using Vertex AI Vector Search and Datastore to improve search relevance and document traceability. Built reusable ingestion pipelines that accelerated onboarding of enterprise datasets into AI-powered retrieval systems.
Intuitive
Jun 20195 yrs 5 mosOct 2024

San Francisco Bay Area

Designed and owned backend services enabling secure device-to-cloud communication, isolated from real-time robotic control paths. Led end-to-end PKI and certificate lifecycle management, including TPM-backed CSR orchestration, certificate rotation, validation, and resilient distribution pipelines. Built stateful backend systems for remote troubleshooting by modeling expected versus actual device states, enabling corrective actions without impacting live procedures. Designed hybrid data and log collection workflows supporting both cloud-based uploads and on-prem deployments for hospitals with restricted connectivity. Improved system reliability by separating build and release pipelines, ensuring QA validated immutable artifacts. Removed legacy security risks by eliminating plaintext secrets and introducing deployment-time encryption with scoped runtime decryption. Collaborated across embedded systems, security, infrastructure, QA, and operations teams to design and deliver highly reliable backend systems for safety-critical medical environments.
Intuitive Surgical
Jun 20195 yrs 5 mosOct 2024

Led backend engineering initiatives supporting a global fleet of 5,000+ connected surgical platforms operating under strict regulatory and reliability requirements. Developed secure remote communication services using custom RPC protocols over encrypted WebSocket channels for telemetry collection and remote diagnostics. Automated the SSL certificate lifecycle, including TPM-backed CSR orchestration and PKI integration, eliminating manual certificate provisioning workflows. Architected stateful troubleshooting workflows that enabled remote diagnostics without interrupting active surgical procedures. Improved platform security by removing plaintext secrets from deployment workflows using runtime-scoped encryption and secure credential management practices. Collaborated across cloud, firmware, infrastructure, and platform engineering teams to deliver highly reliable backend systems for safety-critical medical environments.
iXsystems
Jul 20153 yrs 10 mosApr 2019

San Francisco Bay Area

Backend and systems engineer contributing to TrueNAS Core, an on-premises storage appliance used in production environments. Contributed backend functionality in Python and supported system-level features for storage platforms. Built automated testing frameworks using Python and Selenium to improve system reliability. Supported CI/CD and release engineering workflows using Jenkins and shell scripting. Worked within an open-source development model, collaborating on design reviews, issue tracking, and releases.
iXsystems
Jun 20153 yrs 11 mosApr 2019

Developed backend functionality in Python for TrueNAS Core enterprise storage appliances used in on-premises infrastructure environments. Built Selenium-based automated testing frameworks that improved release validation coverage and reduced regression risks across storage platform releases. Managed CI/CD release workflows using Jenkins and shell scripting to streamline software delivery processes. Contributed to open-source engineering initiatives and collaborated with distributed community contributors.

Vaibhav’s AI Stack

github copilot
github copilot
langchain
langchain
langgraph
langgraph
openai
openai

Education

Lamar University

Master of Technology, Engineering Science

Lamar University

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology, Mechanical Engineering

Dr. A.P.J. Abdul Kalam Technical University

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Headline

Backend Platform Engineer specializing in distributed systems, secure device identity, operational automation, and AI-enabled backend services.

About

Staff Software Engineer with 13+ years of experience building distributed backend systems, secure cloud infrastructure, and AI-powered enterprise platforms. I specialize in: - Distributed systems and backend architecture - AWS serverless platforms - PKI and certificate lifecycle automation - Secure device-to-cloud communication - AI retrieval and vector search systems - Backend platforms for regulated environments My experience includes engineering backend systems for globally deployed surgical robotics platforms, remote diagnostics infrastructure, enterprise AI retrieval systems, and secure cloud-native applications. Technologies I work with regularly include Python, TypeScript, AWS Lambda, GraphQL, DynamoDB, WebSockets, PKI infrastructure, vector search, and LLM-powered workflows. Open to Staff / Senior Backend Engineering, Platform Engineering, Distributed Systems, and AI Infrastructure opportunities.

Location

Hyderabad

AI stack

github copilot

langchain

langgraph

openai

Work experience

Software Architect at Persistent Systems, Mar 2026 - Present · 6 mos, Designed normalized relational schemas supporting secure multi-tenant data management. Redesigned authorization data model, replacing denormalized role mappings with normalized relationship tables to improve auditability and data integrity. Built GraphQL APIs using AWS AppSync and Lambda for a serverless clinical platform. Resolved architectural dependency issues in onboarding workflows, enabling reliable tenant provisioning. Collaborated with product and platform teams to deliver backend capabilities for a regulated healthcare application.

Senior Software Engineer at Doran Jones Inc., Nov 2024 - Feb 2025 · 4 mos, Remote, Designed and implemented an internal knowledge retrieval system using document ingestion, embeddings, and vector search. Integrated advanced PDF parsing to extract structured data from complex technical and operational documents. Built the system as read-only, explainable, and fully isolated from production environments to meet security and compliance requirements. Worked closely with engineering and delivery teams to align the system with existing internal workflows and client constraints.

Staff Software Engineer at Doran Jones Inc., Oct 2024 - Feb 2025 · 5 mos, Engineered an internal AI knowledge retrieval platform using embeddings and vector search to enable semantic search across enterprise documentation. Integrated Google Document AI pipelines for automated PDF parsing and structured document extraction from large document repositories. Designed metadata indexing workflows using Vertex AI Vector Search and Datastore to improve search relevance and document traceability. Built reusable ingestion pipelines that accelerated onboarding of enterprise datasets into AI-powered retrieval systems.

Senior Software Engineer at Intuitive, Jun 2019 - Oct 2024 · 5 yrs 5 mos, San Francisco Bay Area, Designed and owned backend services enabling secure device-to-cloud communication, isolated from real-time robotic control paths. Led end-to-end PKI and certificate lifecycle management, including TPM-backed CSR orchestration, certificate rotation, validation, and resilient distribution pipelines. Built stateful backend systems for remote troubleshooting by modeling expected versus actual device states, enabling corrective actions without impacting live procedures. Designed hybrid data and log collection workflows supporting both cloud-based uploads and on-prem deployments for hospitals with restricted connectivity. Improved system reliability by separating build and release pipelines, ensuring QA validated immutable artifacts. Removed legacy security risks by eliminating plaintext secrets and introducing deployment-time encryption with scoped runtime decryption. Collaborated across embedded systems, security, infrastructure, QA, and operations teams to design and deliver highly reliable backend systems for safety-critical medical environments.

Senior System Software Engineer at Intuitive Surgical, Jun 2019 - Oct 2024 · 5 yrs 5 mos, Led backend engineering initiatives supporting a global fleet of 5,000+ connected surgical platforms operating under strict regulatory and reliability requirements. Developed secure remote communication services using custom RPC protocols over encrypted WebSocket channels for telemetry collection and remote diagnostics. Automated the SSL certificate lifecycle, including TPM-backed CSR orchestration and PKI integration, eliminating manual certificate provisioning workflows. Architected stateful troubleshooting workflows that enabled remote diagnostics without interrupting active surgical procedures. Improved platform security by removing plaintext secrets from deployment workflows using runtime-scoped encryption and secure credential management practices. Collaborated across cloud, firmware, infrastructure, and platform engineering teams to deliver highly reliable backend systems for safety-critical medical environments.

Software Engineer at iXsystems, Jul 2015 - Apr 2019 · 3 yrs 10 mos, San Francisco Bay Area, Backend and systems engineer contributing to TrueNAS Core, an on-premises storage appliance used in production environments. Contributed backend functionality in Python and supported system-level features for storage platforms. Built automated testing frameworks using Python and Selenium to improve system reliability. Supported CI/CD and release engineering workflows using Jenkins and shell scripting. Worked within an open-source development model, collaborating on design reviews, issue tracking, and releases.

Software Engineer at iXsystems, Jun 2015 - Apr 2019 · 3 yrs 11 mos, Developed backend functionality in Python for TrueNAS Core enterprise storage appliances used in on-premises infrastructure environments. Built Selenium-based automated testing frameworks that improved release validation coverage and reduced regression risks across storage platform releases. Managed CI/CD release workflows using Jenkins and shell scripting to streamline software delivery processes. Contributed to open-source engineering initiatives and collaborated with distributed community contributors.

Education

Master of Technology, Engineering Science, Lamar University

Bachelor of Technology, Mechanical Engineering, Dr. A.P.J. Abdul Kalam Technical University

Public links

github: https://github.com/vaibhav-rbs

Vaibhav C. - Software Architect in Hyderabad | Tal