B B Devaiah

Backend-focused software engineer with experience building production microservices, platform libraries, and cloud automation across global systems. Strong in clean architecture, API design, observability, and scalable data migrations, with a focus on shipping reliable features that reduce operational risk and improve developer velocity.

• Financial model automation: Led end-to-end automation of a core financial model, reducing repetitive effort and increasing team productivity by roughly 80%; faster execution cycles helped unlock quicker go-to-market decisions and supported measurable revenue acceleration.
• Production ML impact: Built and deployed clustering models for stock-market sessions, improving prediction accuracy by around 40%; improved signal quality drove stronger strategy confidence and better trading outcomes tied to revenue growth.
• AI learning pipeline ownership: Owned AI/ML/NLP course pipelines with ChatGPT and Hugging Face integrations; increased enrollments by ~40% and completions by ~30%, directly contributing to higher training program revenue.
• Workforce enablement: Launched technical programs on C, C++, Apache Airflow, Postman, BigQuery ML, and GCP; trained 500+ professionals, reduced skill gaps across teams, and improved project throughput that supported sustained business and revenue expansion.

• Built reusable Python packages adopted across India, UK, and Global: swagger_generator (OpenAPI generation), translator (localization), failure_rate_limiter (adaptive throttling), and authproxy (service-to-service auth and token validation).
• Was responsible for breaking down a monolithic backend into microservices using clean architecture, including operations_management, menu_management_uk, operations_orchestrator_uk, and user_service.
• Led user_service evolution for global systems, including a full rewrite from clean architecture to MVC; this service is now used in production flows such as Levy deployments and supports revenue-generating operations averaging around £50K.
• Automated GCP service provisioning with Terraform to keep infrastructure and deployment patterns uniform across demo, preprod, and production environments, reducing setup drift and improving release reliability.
• Executed Datastore to AlloyDB migrations with validation and staged rollout support, improving data consistency, query performance, and operational scalability for backend services.

• Graduation — Mangalore Institute of Technology & Engineering (2015 — 2019)
• Pre-university — MES PU College, Bangalore — PCM & Biology (2013 — 2015)
• High school — Air Force School Hebbal, Bangalore (2012 — 2013)

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