Senior Full Stack AI Microservices Consultant

Bhumika D

+1-469-***-**** **********@*******.***

SUMMARY

Senior Full Stack Software Consultant with around 10 years of experience building, scaling, and supporting intelligent enterprise production platforms across healthcare, banking, insurance, and e-commerce domains. Adept across the full stack, from engineering responsive web interfaces to architecting microservices, cloud data infrastructure, and integrating artificial intelligence capabilities to automate operations and workflows.

On the backend and AI layer, I build high-concurrency Java and Spring Boot microservices, design scalable REST APIs, and orchestrate intelligent orchestration services utilizing LangChain, RAG architectures, LLM prompt tuning, and vector databases. On the frontend, I utilize Angular and React to build real-time AI dashboards, chat interfaces, and complex forms. I streamline cloud systems on AWS and Azure using Docker, Kubernetes, Jenkins, Azure DevOps, and Terraform Git, and build comprehensive validation matrices via JUnit, Mockito, Jest, and Playwright to reduce regression anomalies. I leverage data layers via PostgreSQL, Oracle, MongoDB, Redis, and Cosmos DB alongside event-driven pipelines utilizing Kafka to process high-throughput distributed transactional streaming. Focused on clean, maintainable code, algorithmic readiness, and practical delivery. SKILLS

Languages: Java 8/17/21, TypeScript, JavaScript ES6+, Python, SQL, PL/SQL, HTML5, CSS3, Bash/Shell Scripting. Frameworks and Libraries: Spring Boot 1.4/2.x/3.x, Spring MVC, Spring Security, Spring WebFlux, Spring Data JPA, Spring AOP, Hibernate, React, Next.js, Angular, Redux Toolkit, RxJS, React Hooks, React Hook Form, Tailwind CSS, Bootstrap, jQuery, REST APIs, Microservices, SOAP, WebSocket, GraphQL, Swagger, OpenAPI.

AI & Machine Learning: LangChain, RAG Architecture, OpenAI API Integration, Vector Search (Pinecone / pgvector), Prompt Engineering, Semantic Search, Model Fine-Tuning Integration, LLM Orchestration, Token Optimization. Databases & Messaging: PostgreSQL, MySQL 5.7, Oracle 12c, MongoDB, Redis, Amazon ElastiCache, Azure SQL Database, Cosmos DB, Amazon SQS, Azure Service Bus, Azure Event Hubs, Kafka. Cloud & Infrastructure: AWS, Microsoft Azure, Amazon EKS, Amazon ECR, EC2, S3, KMS, AWS X-Ray, CloudWatch, AKS, Azure App Service, Azure Key Vault, Azure Monitor, OpenShift, Pivotal Cloud Foundry, Kubernetes, Docker. DevOps & CI/CD: Jenkins, Azure DevOps Pipelines, GitHub Actions, Maven, Gradle, npm, Angular CLI, Docker Compose, Terraform, Git, GitHub, Bitbucket, CI/CD Pipelines, Canary Deployments, Rolling Deployments. Testing & Quality: JUnit 4/5, Mockito, Jest, React Testing Library, Angular TestBed, Jasmine, Karma, Cypress, Playwright, Cucumber, Gherkin, JaCoCo, Unit Testing, Integration Testing, End-to-End Testing, BDD, Code Reviews. Tools & Productivity: Jira, Agile, Scrum, Sprint Planning, IntelliJ IDEA, Eclipse, VS Code, Linux/Unix, ELK Stack, Kibana, Splunk, Prometheus, Grafana, AppDynamics, Spring Boot Actuator, Spring Boot Admin. EXPERIENCE

Senior Software Consultant (Full Stack & AI/LLM integrations) Jan 2025 – Present Elevance Health Healthcare Revenue Cycle, Prior Authorization, & Generative AI Platform Description: Developed an AI-powered full-stack healthcare platform to centralize prior authorization, payer status tracking, dynamic clinical document review, and intelligent claims readiness workflows. The application integrated LLM agents to reduce manual follow-ups, auto-extract information, and track status in real time.

• Partnered with healthcare product managers and solution architects to translate prior authorization, automated clinical document review, and revenue cycle requirements into scalable full-stack technical solutions.

• Converted complicated payer workflow requirements and HIPAA-aligned security needs into explicit Jira stories, API contracts, UI flows, validation rules, and engineering deployment blueprints across development teams.

• Mentored software engineering groups through architectural design reviews, peer code analysis, reusable component patterns, and clean programming practices, successfully improving pull request turnaround velocity by nearly 25%.

• Built responsive clinical authorization dashboards using React 18, TypeScript, Tailwind CSS, and reusable UI components to track patient contexts, dynamic authorization queues, document statuses, and claims data grids.

• Designed modular Next.js 14 application routes, dynamic nested page layouts, and optimized client/server rendering patterns to deliver interactive AI assistant screens and intuitive user dashboard routing navigation.

• Implemented client-side state management using Redux Toolkit feature slices, async thunks, and normalized state structures to handle patient context, dynamic filters, authorization queries, and alert triggers.

• Optimized high-volume data dashboard table rendering metrics by roughly 35% utilizing advanced React hooks including useState, useEf- fect, useMemo, useCallback, and useRef to control component updates.

• Engineered secure formworkflows using React Hook Form paired with schema-based custom validation layers to capture diagnosis details, medical metadata, and supporting documentation uploads securely.

• Built a centralized frontend API integration layer using Axios/fetch, request interceptors, and robust loading states to handle microservice communications and retry-safe user interface fallback operations gracefully.

• Consolidated multi-source frontend data mapping layers by integrating GraphQL-based data aggregation patterns, cutting network over- head by fetching required user record details within single unified schema queries.

• Developed live-update interface flows using WebSocket connections and controlled polling fallbacks to refresh critical clinical queues auto- matically, reducing update notification delays from 3–5 minutes to under 30 seconds.

• Standardized reusable internal UI packages through npm workspaces, distributing shared corporate component libraries to eliminate duplicate development across three independent revenue cycle application system modules.

• Designed and developed secure, scalable backend microservices using Java 21 and Spring Boot 3.x to handle high-concurrency healthcare lookup processing, payer validation logic, and transactional auditing paths.

• Migrated legacy XML-configured Spring MVC applications into modern, auto-configured Spring Boot 3.x microservices, eliminating tech- nical architecture debt and improving operational container release readiness significantly.

• Implemented service-layer algorithm modules using Java 21 Virtual Threads to handle compute-heavy code validation checks, achieving exceptional request concurrency throughput during performance load testing.

• Developed high-efficiency reactive microservices utilizing Spring WebFlux to manage asynchronous non-blocking remote integration calls with third-party eligibility verification systems, eliminating runtime thread blocks.

• Secured sensitive medical endpoints by embedding Spring Security, JWT, and OAuth2/OIDC protocols, establishing granular role-based access controls across clinical users, hospital billing staff, and system administrators.

• Built centralized error monitoring grids and automated aspect-oriented logging components using Spring AOP, dropping average production system issue debugging timelines from 2 hours down to 30 minutes.

• Mapped relational and non-relational database transaction structures using Spring Data JPA and Hibernate mappings, writing deeply tuned, optimized queries against enterprise-tier PostgreSQL databases.

• Slashed data processing latency off reporting databases by 30–40% by implementing pagination logic, query optimizations, and distributing read-heavy search traffic over high-availability PostgreSQL read replicas.

• Architected high-efficiency in-memory application caching tiers using Amazon ElastiCache for Redis to preserve frequently accessed reference configurations, dropping repeated database hits by roughly a 35% mark.

• Deployed flexible MongoDB document configurations to store unstructured clinical payloads, external transaction snapshots, dynamic medical record metadata, and flexible, variations of multi-payer response files.

• Engineered an intelligent medical document assistant by developing a Retrieval-Augmented Generation (RAG) pipeline, orchestrating LangChain to split, embed, and query unstructured clinical charts via vector search.

• Integrated OpenAI API models to auto-extract diagnostics, medical procedures, and patient criteria from raw text documents, reducing manual validation follow-ups for hospital billing teams.

• Implemented semantic search features against historical authorization records using pgvector within PostgreSQL, allowing data lookup layers to instantly locate similar prior case histories.

• Optimised LLM resource allocation footprints by engineering precise prompt templates, dynamic context windowing, and token utilization logic to reduce inference runtime overhead under active concurrent operations.

• Provisioned secure cloud platform resources utilizing Terraform configurations to deploy containerized applications automatically into highly scalable, enterprise-grade Amazon EKS (Elastic Kubernetes Service) clusters.

• Managed infrastructure assets safely across the cloud environment by combining Amazon ECR image registries, Amazon S3 clinical storage buckets, Amazon SQS queues, and AWS KMS encryption management tools.

• Achieved an estimated $80K–$100K in annual cloud cost savings by right-sizing running container resources and tracking cross-service latency flows using Prometheus, Grafana, CloudWatch, and AWS X-Ray.

• Authored rigorous end-to-end regression validation suites leveraging JUnit 5, Mockito, React Testing Library, and Playwright, dropping manual environment regression timelines from 3 days to under 1 day.

• Orchestrated continuous deployment workflows using Git, Maven, and Jenkins pipelines, automating multi-stage Docker builds, code coverage reviews, vulnerability assessments, and target cluster instance promotions. Environment: Java 21, Spring Boot 3.x, Spring WebFlux, Spring Security, Spring Data JPA, React 18, Next.js 14, TypeScript, Tailwind CSS, LangChain, OpenAI API, pgvector, GraphQL, WebSocket, PostgreSQL, MongoDB, Redis, Amazon EKS, S3, SQS, Terraform, Jenkins, Prometheus, Grafana, Playwright, JUnit 5, Mockito, Git, Jira. Senior Software Consultant (Full Stack & Intelligent Systems focus) Aug 2023 – Dec 2024 Citi Bank Banking – Customer Rewards, Predictive Analytics, and Retention Platform Description: Developed and supportedan enterprise Citi Bank credit customer rewards platform incorporating intelligent retention rule modules to evaluate point values, cashbacks, personalized offers, and card engagement insights within real-time secure banking workflows.

• Developed full-stack features for a high-traffic Citi Bank customer rewards platform using Angular 14, TypeScript 4.x, Java 11, Spring Boot 2.7, and Azure infrastructure capabilities.

• Built interactive client-facing application modules utilizing Angular 14, TypeScript, and RxJS 7 asynchronous data streams to render points trackers, offer activations, and financial analytics screens.

• Designed reusable, type-safe Angular components, services, pipes, directives, and Reactive Forms, pushing user interface presentation consistency up by nearly 30% across banking sections.

• Configured robust single-page application (SPA) navigation parameters using Angular routing systems and Route Guards to insulate authenticated customer account pathways from direct URL manipulation attacks.

• Managed global client-side application state layouts leveraging NgRx 14, ensuring predictable, deterministic state transitions for profile scopes, transaction logs, and reward balances across hierarchies.

• Integrated enterprise backend APIs from the Angular tier using the native framework HTTP Client, building custom HTTP interceptors to inject JWT security tokens and catch network error codes uniformly.

• Engineered underlying logic using Java 11, Spring Boot 2.7, Spring Security, and Spring AOP to evaluate card segmentation rules; optimized retrieval layers with Azure SQL Database, Cosmos DB, and Azure Cache for Redis to slash UI load times by 30%; linked asynchronous message flows with Kafka and Azure Service Bus; deployed code to Azure App Service via Azure DevOps Pipelines, Docker, and npm; conducted debugging using Azure Monitor, Application Insights, Log Analytics, and Splunk to cut troubleshooting time by 25%.

• Enhanced retention-rule administration workflows by incorporating rule-based analytics algorithms to spot low-engagement card behaviors, pushing targeted credit card retention campaign accuracy up by approximately 20%.

• Integrated natural language processing capabilities within an administrative customer insight panel by crafting custom intent parsing models to extract search filters from open-ended manager inquiries.

• Built data pipeline adapters to transform unstructured campaign feedback text stored inside Cosmos DB into prioritized action tokens, mapping insights to localized credit card segment preferences.

• Embedded automated unit, integration, and behavioral validation steps directly into continuous deployment pipelines using JUnit 5, Mockito, Spring Boot Test, and Jasmine/Karma or Jest tools. Environment: Angular 14, TypeScript 4.x, NgRx, RxJS, Java 11, Spring Boot 2.7, Spring Security, Spring AOP, Spring WebFlux, Azure SQL Database, Cosmos DB, Azure Cache for Redis, Kafka, Azure Service Bus, Azure DevOps, Docker, Azure App Service, Azure Key Vault, Splunk, JUnit 5, Mockito, Jasmine/Karma.

Software Consultant Aug 2019 – July 2023

Digit Insurance Insurance Policy Management & Automated Quote Platform Description: Developed full-stack features for a distributed insurance platform handling policy issuance, quote comparisons, and customer onboarding through modular frontend interfaces, Java microservices, and automated pipeline scripts.

• Collaborated within fast-paced Agile/Scrum environments to translate complex auto, home, and commercial insurance coverage and calcu- lation business flows into granular development sprints.

• Developed highly responsive user onboarding screens and quote layout blocks using Angular 6/8, TypeScript, HTML5, CSS3, Bootstrap 4, and jQuery scripts.

• Built reusable UI components and shared form controls across modules, cutting duplicate frontend development tasks across three core product configurations.

• Implemented rigorous client-side information verification rules using Angular Reactive Forms, capturing data input errors early to drop form-related QA defects by 30%.

• Supported the technical upgrade of critical customer-facing sub-modules from Angular 6 to Angular 8, resolving dependency deadlocks and updating routing layouts.

• Developed backend microservices using Java 8, Spring Boot 2.x, Spring MVC, and Spring Data JPA to process rule engines; resolved bottlenecks by tuning Oracle 12c and Hibernate query performance by 35%; secured data flows using Spring Security token authentication and cryptographic APIs; supported legacy architecture components written in Struts, JSP, and Servlets.

• Maintained automated CI/CD build scripts using Jenkins, Maven, and Docker to host containerized applications securely on scalable AWS EC2 and S3 infrastructure environments during high-traffic periods.

• Developed an automated policy document classifier by configuring statistical text parsing patterns, sorting customer verification attachments onto appropriate cloud folders, and slicing ingestion backlogs.

• Integrated basic rule-based recommendation matrices at the user selection tier, matching vehicle variables against historical data trends to instantly suggest policy add-ons.

• Authored automated functional test cases and behavioral scenarios utilizing JUnit 4, Mockito, Cucumber, and Gherkin, dropping manual application regression testing windows down to 6 hours. Environment: Java 8, Spring Boot 2.x, Spring MVC, Spring Data JPA, Hibernate, Oracle 12c, SQL, Struts, JSP, Servlets, Angular 6/8, Type- Script, JavaScript, HTML5, CSS3, Bootstrap 4, jQuery, JUnit 4, Mockito, Cucumber, Gherkin, Jenkins, Docker, AWS EC2, S3, CloudWatch, Splunk.

Software Engineer May 2016 – July 2019

Flipkart Product Catalog & Storefront Search Experience Description: Engineered high-volume product listing layouts, catalog browse filters, and promotional indexing configurations across Flipkart’s e-commerce storefront web application to maximize page responsiveness and system scalability.

• Assisted product managers and core backend engineers in converting complex storefront browse filters and search usability goals into structured technical stories inside Jira.

• Developed reusable, lightweight user interface components using React 15 and JavaScript ES6 to display product lists, category trees, and dynamic sale banners.

• Managed frontend application state structures leveraging Redux 3, preventing unnecessary full-browser refreshes and cutting navigation state anomalies by nearly 25%.

• Optimized storefront browser asset weights by implementing image lazy loading scripts and customized infinite scroll behavior patterns, boosting initial load speeds by 25–30% over mobile bands.

• Built performant backend API points leveraging Java 8 and Spring Boot 1.4 configurations to stream dense catalog data fields rapidly within optimized JSON payloads.

• Enforced strict controller-tier verification rules utilizing Hibernate Validator 5.x, catching malformed system requests to drop catalog pro- cessing errors by 20%.

• Coordinated database maintenance sweeps off MySQL 5.7 database tables, verifying composite indexes on heavy columns to optimize data lookup speeds by roughly 30%.

• Accelerated system cache invalidation routines and optimized search configuration parameters by managing index data maps within in- memory Redis 3.x nodes.

• Engineered a basic pattern-matching catalog deduplication utility by writing heuristic string parsing algorithms, which auto-linked duplicate vendor catalog records to cut catalog indexing noise.

• Covered critical operational pathways with automated test configurations leveraging JUnit 4, Mockito, and Jest, reducing manual triage workflows down to 20 minutes using ELK Stack / Kibana monitoring dashboards. Environment: Java 8, Spring Boot 1.4, Spring MVC, React 15, Redux 3, JavaScript ES6, HTML5, CSS3, MySQL 5.7, Redis 3.x, Hibernate Validator 5.x, JUnit 4, Mockito, Jest, Jenkins, Git, Jira, Log4j, SLF4J, ELK Stack, Kibana. EDUCATION

State University of New York New York, USA

M.S. in Computer Science

Coursework: Algorithms and Data Structures, Database Systems, Operating Systems, Advanced Computer Architecture, Software Engineer- ing, Artificial Intelligence.

Contact this candidate