Priyank Rupareliya

Senior Software Engineer with a focus on distributed systems, high-throughput database architecture, and infrastructure automation. I specialize in modernizing legacy monoliths into scalable cloud-native environments and leading cross-functional teams to deliver high-availability products. Pragmatic advocate for clean system design and open-source contributor.

• Software Engineering Specialist @ AT&T

  Sep 2024 – Present · Bengaluru, Karnataka

  • Designed the architecture for the modernization of the 30-year-old Global Fraud Management System (GFMS), replacing legacy silos with a high-performance stack using FastAPI, PostgreSQL 18.0, and AKS.
  • Reduced query latency by 40% for a system handling 200k+ requests/hour by implementing a proactive caching strategy with PostgreSQL and Procrastinate, ensuring sub-second response times.
  • Improved system stability and reliability to 99.9% uptime by integrating a multi-service observability layer with OpenTelemetry, enabling proactive bottleneck identification before they impacted users.
  • Cut annual infrastructure costs by $50k+ by migrating the observability layer from Azure Application Insights to a self-managed ELK stack.
  • Led a team of 9 engineers through technical mentorship and the review of 2,000+ PRs, establishing organization-wide standards for API design and IaC reliability.
  • Created framework-agnostic archetypes for React and Python that were adopted by 100+ internal projects, reducing initial setup time for new services by 50%.

• Technical Consultant III @ Hewlett Packard Enterprise (HPE)

  Aug 2022 – Aug 2024 · Bengaluru, Karnataka

  • Built the Civil Registration System (CRS) for the Government of India, scaling to support 1 million+ concurrent daily users across 13 states using an event-driven microservices architecture.
  • Reduced production incident rates by 25% by implementing automated integration testing and health-check monitoring across serverless AWS/Azure environments.
  • Boosted developer velocity by 30% through the creation of reusable libraries for React (JSON rendering) and AWS Cognito, streamlining authentication workflows for internal apps.
  • Mentored 15 engineers through weekly system design drills and pair-programming, successfully transitioning the team from monolithic to cloud-native development practices.
  • Designed an internal "Innovation Portal" knowledge-sharing tool that scaled to support 30k+ daily internal users, improving cross-departmental information flow.

• Systems Engineer @ ITsecura

  Apr 2021 – Aug 2022 · Bengaluru, Karnataka

  • Automated 60% of fleet-wide admin operations (LVM, firewalls, scans) using SaltStack and Python, significantly reducing manual intervention and human error during server maintenance.
  • Maintained 99.9% uptime for compliance tools by tuning configurations for HAProxy, Tomcat, and Percona MySQL high-availability stacks.
  • Contributed upstream bug fixes to the SaltStack community on GitHub, improving configuration management stability for the broader open-source ecosystem.

• Fullstack Engineer @ NalyticX

  Jun 2020 – Dec 2020 · Ahmedabad, India

  • Developed and iterated on rapid prototypes for early-stage products using the MERN stack, managing the full SDLC from database schema design to frontend deployment.

• AWS Certified Developer Associate (Amazon Web Services · 2023)
• Docker Mastery (Kubernetes, Swarm, Compose · 2022)
• Learning Salt by Packt (Infrastructure as Code · 2021)

• Marwadi University — Bachelor of Computer Applications

  2017 – 2020 · Gujarat, India

• Global Fraud Management System (GFMS) Modernization (FastAPI, PostgreSQL, Event Hubs, Procrastinate, AKS)

  • Led the full-scale architectural overhaul of a 30-year legacy system. Optimized data ingestion by implementing index-first joins and strategic partitioning, resulting in a significant reduction in CPU overhead during peak traffic.

• AskAT&T (GenAI Knowledge Retrieval) (LLMs, Python, TDP AI Challenge)

  • Developed an AI-driven problem-solving solution as part of the TDP AI Challenge. Engineered a system to automate internal knowledge retrieval, enhancing developer productivity by reducing time spent searching technical documentation.

• HPC Containerization Research (MPI, Docker, Hypervisors)

  • Achieved near-native performance for High-Performance Computing (HPC) workloads by developing a method to dynamically link image-specific MPI libraries with hardware drivers. Published findings on the HPE Community Blog.