Open to opportunities

Shrey Bhadiyadara

@shreybhadiyadara

Message

I am a software engineer specializing in scalable cloud-native AI/ML systems.

United States

Message

What I'm looking for

I seek a senior engineering role building scalable cloud-native AI/ML or SaaS platforms with ownership of backend/infra, collaborative Agile teams, and opportunities to drive architecture and mentor engineers.

I am a software development engineer with 4+ years building scalable, cloud-native applications across AI/ML, fintech, enterprise SaaS, and content platforms. I focus on backend and API development with strong system-design discipline.

I have designed and deployed high-availability microservices and real-time systems, including a data-annotation platform achieving 99.97% uptime and pipelines handling millions of records weekly. I built a central Python SDK and low-latency inference APIs that reduced model onboarding effort and enabled real-time predictions.

I regularly apply cloud and infrastructure automation using AWS and Azure, Docker, Kubernetes, and Terraform, plus CI/CD and observability tooling to speed deployments and reduce incident resolution times. I have driven migrations and performance tuning that cut ETL syncs and improved frontend and backend performance at scale.

I enjoy mentoring engineers, improving code quality through pair programming and reviews, and working in collaborative Agile teams. I seek opportunities to own architecture, drive reliable system design, and deliver production-grade AI/ML and SaaS solutions.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer

Current

Scale AI

Sep 2024 - Present (11 months)

Built a real-time data annotation platform (TypeScript, React, Tailwind) that improved rendering performance and boosted analyst throughput; designed Go/gRPC microservices on Kubernetes/AWS ECS achieving 99.97% uptime for 20K+ daily annotation jobs. Integrated CloudWatch and OpenTelemetry to reduce mean incident resolution time by 34% and developed a Python SDK reducing model onboarding effort by

TypeScript React Tailwind Go)gRPC Kubernetes AWS Python Pydantic GitHub Actions)

Software Development Engineer

TCS

Sep 2021 - Jun 2023 (1 year 9 months)

Engineered internal APIs and event-driven claim-processing pipelines using Java and Spring Boot with Azure Service Bus/Event Grid, achieving 99.98% delivery reliability for critical workflows. Implemented OAuth2 RBAC via Keycloak, migrated ETL to Azure Data Factory reducing nightly sync times by 37%, and improved API throughput through JVM tuning.

Java Spring Boot Azure Service Bus Event Grid Keycloak Azure Data Factory Jenkins SQL

Software Engineer

Neliti

Sep 2020 - Aug 2021 (11 months)

Founded and architected a greenfield academic publishing platform (Django, PostgreSQL, AWS) scaling to 10M+ unique monthly users with 99.9% uptime. Automated journal generation using LangChain and Gemini API to cut editorial labor by 37% and implemented i18n to reduce localization overhead by 78%.

Django PostgreSQL Lang Chain Docker Terraform Kubernetes Vite

Software Engineer Intern

Suvit

Feb 2020 - Aug 2020 (6 months)

Developed a modular Node.js ingestion service with GraphQL and MongoDB handling 10,000+ records/day and built Excel-to-JSON transformers to reduce manual CSV processing. Improved React tabular UI responsiveness by 27% using useMemo/useCallback optimizations.