• Architected a secure RAG-based financial document intelligence platform using Java Springboot, Node.js, Python, LangChain, and Weaviate,

applying microservices architecture, event-driven design, and modular service boundaries to process compliance reports and

product documentation, reducing analyst research time by 60%+ across risk and compliance teams.

• Developed a full-stack AI dashboard using ReactJS, TypeScript, and TailwindCSS with Node.js REST APIs, enabling analysts

to review LLM outputs and feedback signals, improving prompt accuracy response relevance 28% within six weeks.

• Designed scalable Node.js and Python microservices using Express and FastAPI to orchestrate retrieval pipelines, document

embedding services, and asynchronous AI inference workflows across internal research systems.

• Implemented a secure Node.js API gateway with OAuth 2.0 authentication and request validation, supporting more than 18K

monthly AI requests across enterprise document intelligence workloads.

• Deployed containerized Springboot, Node.js and Python services on AWS EKS using Docker, scaling inference workloads to handle 3×

traffic growth while maintaining average response latency under 420 ms.

• Engineered a clinical trial oversight analytics platform using React, TypeScript, Redux Toolkit, and Java, Node.js APIs,

enabling research teams to monitor enrollment progress, site performance, and protocol compliance across 15+ clinical study

sites, improving reporting turnaround by 35%.

• Built interactive clinical data dashboards using React, D3.js, and GraphQL services, enabling investigators to analyze

adverse events and protocol deviations across 200K+ trial records, improving operational visibility for clinical operations

teams.

• Optimized clinical analytics data pipelines using React Query and Node.js, Springboot microservices, reducing redundant API calls by

40% and improving dashboard response time during high-volume clinical reporting cycles.

• Improved dashboard performance using React memoization, component virtualization, and API caching, reducing page

load latency by 38% for complex clinical monitoring dashboards.

• Implemented secure role-based access control workflows using OAuth 2.0 authentication and Node.js authorization

services, ensuring compliant access to sensitive healthcare datasets for 200+ clinical investigators and administrators.

• Developed an insurance policy servicing platform for LV.com using React, TypeScript, Java and Node.js microservices,

enabling agents to manage quotes, endorsements, and policy lifecycle workflows across 50K+ policy records, improving

servicing efficiency by 32%.

• Implemented real-time underwriting validation services using Node.js rule evaluation engines and modular React UI

components, automating eligibility checks and reducing manual underwriting review effort by 28% during high-volume policy

enrollment cycles.

• Integrated Elasticsearch document search with GraphQL and REST APIs, enabling agents to retrieve claim guidelines and

regulatory documents across 1M+ insurance policy records within seconds.

• Designed event-driven policy update workflows using Node.js asynchronous processing, enabling real-time

synchronization across customer, billing, and policy systems processing 20K+ daily policy updates.

• Optimized application responsiveness using lazy loading, indexed queries, and API performance tuning, reducing UI

latency by 34% across high-traffic insurance servicing dashboards.

• Built an e-commerce customer support and order management platform using React, JavaScript (ES6), and Node.js

services, enabling users to manage profiles, orders, and support tickets across 25K+ monthly customer interactions,

improving support resolution turnaround by 30%.

• Engineered RESTful backend services using Node.js, Express, and PostgreSQL, supporting real-time order updates, ticket

creation, and account management workflows processing 8K+ daily transactions.

• Designed order support routing and prioritization workflows using Node.js business logic services and asynchronous

processing, reducing support backlog and improving ticket assignment accuracy by 25%.

• Integrated React front-end interfaces with Node.js APIs and asynchronous data pipelines, enabling real-time updates

across customer accounts, order status, and service history dashboards.

• Optimized platform performance using API caching, indexed database queries, and efficient React state management,

reducing dashboard response time by 36% for frequently accessed e-commerce support tools.