Software Engineer Senior

Gage Kalamaflorence

Senior Software Engineer

****************@*****.*** 350-***-**** San Jose, CA https://www.linkedin.com/in/gage-kalamaflorence-00912b386/ PROFILE

Senior Software Engineer with 8+ years building enterprise-grade backend systems using C#/.NET Core, Azure, and Python. Combines classical domain-driven and microservices architectures with AI/ML integrations (speech-to-text, TTS, semantic search, RAG) to deliver scalable, intelligent products. Experienced at translating client needs into AI-augmented features, improving reliability, latency, and throughput. Passionate about mentoring teams, shaping architecture, and bridging backend engineering with AI-driven innovations.

EDUCATION

San Jose State University, Bachelor's in Computer Science 08/2013 – 05/2017 SKILLS

•Backend Development — C#, .NET Core, ASP.NET Web API, ASP.NET MVC, MAUI, Entity Framework, Dapper, SignalR, gRPC, Python (FastAPI, Flask), REST, GraphQL

•AI/ML Integration — Azure Cognitive Services, Azure OpenAI, OpenAI APIs, Whisper (STT), ElevenLabs (TTS), LangChain, RAG (Retrieval-Augmented Generation), Semantic Search, Vector Databases (Redis, Pinecone, Milvus), Hugging Face Transformers, GPT-based assistants

•Frontend Development — Angular, React, TypeScript, Blazor, HTML5, CSS3, JavaScript (ES6+), Responsive UI/UX integration with backend APIs

•Cloud Platforms — Microsoft Azure (AKS, Functions, App Services, Cognitive Services, Key Vault, AD), AWS (Lambda, ECS, S3), GCP (Kubernetes Engine, Pub/Sub), Docker, Kubernetes

•DevOps & CI/CD — GitHub Actions, Azure DevOps, Jenkins, GitLab CI/CD, Helm, Terraform, Docker Compose, Canary Deployments, Feature Flags

•Data & Messaging — SQL Server, PostgreSQL, MySQL, MongoDB, Redis, ElasticSearch, Kafka, RabbitMQ, HL7 healthcare data integrations

•Observability & Testing — OpenTelemetry, Prometheus, Grafana, ELK (ElasticSearch, Logstash, Kibana), Application Insights, xUnit, NUnit, Moq, Pytest, Cypress, Jest, Integration/E2E Testing, TDD

•Architecture & Practices — Microservices, Domain-Driven Design (DDD), SOLID Principles, OAuth2/OpenID Connect, RBAC, Event-Driven Architectures, Idempotency & Resiliency Patterns

(retry, circuit breaker), API-first Design (Swagger/OpenAPI), Secure SDLC PROFESSIONAL EXPERIENCE

BairesDev, Senior Software Engineer 11/2023 – 07/2025 Sparks, NV

•Led architecture and implementation of multi-tenant .NET Core microservices for a logistics SaaS product, introducing architecture patterns to isolate tenants and reduce cross-tenant noise.

•Contributed to projects for major clients: e.g. Rolls-Royce — BairesDev built a PWA (progressive web app) that surfaces real-time sensor data from multiple power plants, supports alerts, historical trends, and remote monitoring.

•Worked on parts of IQVIA’s clinical platform — BairesDev has published work on scaling IQVIA digital products; in that context, delivered React components and backend APIs to improve integration and scalability.

•Built real-time telemetry ingestion pipelines (C# + Azure Functions + RabbitMQ) for driver/mobile data; reduced ingestion lag under peak load by ~15%, smoothed CPU usage, and applied back- pressure controls.

•Engineered predictive ETA & route anomaly detection services using Python ML models trained on historical route data; embedded as a callable microservice for logistics operations.

•Integrated speech-to-text (Azure Cognitive Services & Whisper fallback) into field report modules, transcribing driver voice logs into structured incident data.

•Designed and deployed a semantic search / RAG engine over shipment logs, events, and notes using OpenAI embeddings + Redis vector store, enabling natural-language queries (e.g., ‘What shipments deviated on route X last month?’) and reducing manual log review time by ~40%

•Standardized observability across services (OpenTelemetry + Grafana + ELK), established dashboards and alert thresholds, bringing median detection time down by ~30%.

•Setup CI/CD pipelines using GitHub Actions, Helm charts, canary deployments, feature flags, and rollback strategies.

•Mentored junior/mid engineers: ran architecture reviews, incident post-mortems, and code reviews. Globant, Senior Software Engineer 05/2021 – 09/2023 Remote

•Worked within Globant’s Healthcare & Life Sciences studio, contributing to AI-powered digital health solutions (Globant promotes AI-powered solutions in healthcare).

•Developed payment / reconciliation microservices in ASP.NET Core, with robust idempotency, transactional consistency, and fallback/compensation logic (Polly).

•Built AI-driven transaction anomaly detection modules: constructed pipelines to vectorize metadata, run embeddings, and classify suspicious transactions using GPT + custom models.

•Integrated speech-to-text & TTS for compliance, call playback, and voice analysis: utilized Whisper for transcription and ElevenLabs for high-quality synthetic voice responses in QA or pilot modules.

•Led creation of a semantic reconciliation / matching engine: ingest transaction metadata, build embeddings (via OpenAI APIs), store in vector DB, retrieve top matches for manual review.

•Built a conversational reporting assistant: finance users could query KPIs via natural language (C# or Node backend + Python NLP microservice + Azure OpenAI).

•Migrated legacy monolithic modules into microservices, improved observability, applied contract testing, OpenAPI client generation, and CI gating.

•Added model monitoring and drift detection features: logged embedding similarity drift, anomalous patterns, and triggered alerts or fallback logic.

•Contributed to internal AI / automation initiatives (Globant markets “AI-powered workforce” ideas). EPAM System, Software Engineer 05/2019 – 02/2021 Sparks, NV

•Built FinReport: an ETL + reporting engine that consolidated financial data, pipelined aggregations, caching, and dashboards to shrink weekly finance processing from hours to minutes.

•Developed a centralized RBAC / identity service using .NET Core + Azure AD, migrating legacy apps to leverage a single authentication/authorization backend.

•Created bulk import & data synchronization services using Dapper / optimized T-SQL batching; handled millions of rows per job while meeting SLA windows.

•Performed performance tuning, memory profiling (dotTrace), and GC / object model optimizations on legacy services; throughput improvements of 20–30%.

•Built an integration test harness and gating pipeline using xUnit & Azure DevOps to prevent regression in reporting flows.

•Supported front-end integrations and tooling: swagger-driven client generation, versioned APIs, staging / dev environment parity via Terraform.

•Contributed to some internal AI and data initiatives (e.g. EPAM publishes on AI in healthcare and data strategies).

Cognizant Softvision, Software Engineer 10/2017 – 03/2019 Las Vegas, NV

•Implemented REST APIs and clinical dashboards (ASP.NET Web API + Angular) to reduce manual data entry by 50% and enable near-real-time alerts from lab events.

•Built HL7 / EHR integrations with custom adapters and transformation pipelines, validating and reconciling lab/EHR data.

•Developed background services and event-driven alerting using Azure Service Bus / .NET workers to detect critical lab result thresholds in real time.

•Automated infrastructure provisioning and CI/CD with Azure DevOps + Terraform for consistency across dev/test/staging environments.

•Enforced PHI security controls: role-based access, field masking, encryption, audit logging, and compliance review processes.

•Tuned API endpoints and SQL queries (indexing, query refactoring) to improve latency and throughput for clinical data access.

•Participated in Cognizant’s healthcare & AI strategy domains: Cognizant offers Healthcare Data & AI services including generative AI, data modernization, and predictive analytics.

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