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Senior Full Stack & Applied AI Engineer with 10+ years of experience delivering production-grade applications across AI, FinTech, Insurance, and Government. Currently building LLM-powered eCommerce solutions at LG Electronics—architecting RAG pipelines, AI microservices, and intelligent search systems serving millions of users globally. Known for translating complex business problems into clean, scalable, maintainable engineering solutions using Python (FastAPI), React/Next.js, Java Spring Boot, Kafka-driven event pipelines, and AWS cloud-native infrastructure, with deep expertise in LLM/RAG evaluation, guardrails, and observability.…Senior Full Stack & Applied AI Engineer with 10+ years of experience delivering production-grade applications across AI, FinTech, Insurance, and Government. Currently building LLM-powered eCommerce solutions at LG Electronics—architecting RAG pipelines, AI microservices, and intelligent search systems serving millions of users globally. Known for translating complex business problems into clean, scalable, maintainable engineering solutions using Python (FastAPI), React/Next.js, Java Spring Boot, Kafka-driven event pipelines, and AWS cloud-native infrastructure, with deep expertise in LLM/RAG evaluation, guardrails, and observability.

VINITHA GADDAMPALLYSenior Full Stack Eng

AI Engineer, Full Stack Developer, Web Developer, +3

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Senior Full Stack & Applied AI Engineer with 10+ years of experience delivering production-grade applications across AI, FinTech, Insurance, and Government. Currently building LLM-powered eCommerce solutions at LG Electronics—architecting RAG pipelines, AI microservices, and intelligent search systems serving millions of users globally. Known for translating complex business problems into clean, scalable, maintainable engineering solutions using Python (FastAPI), React/Next.js, Java Spring Boot, Kafka-driven event pipelines, and AWS cloud-native infrastructure, with deep expertise in LLM/RAG evaluation, guardrails, and observability.…Senior Full Stack & Applied AI Engineer with 10+ years of experience delivering production-grade applications across AI, FinTech, Insurance, and Government. Currently building LLM-powered eCommerce solutions at LG Electronics—architecting RAG pipelines, AI microservices, and intelligent search systems serving millions of users globally. Known for translating complex business problems into clean, scalable, maintainable engineering solutions using Python (FastAPI), React/Next.js, Java Spring Boot, Kafka-driven event pipelines, and AWS cloud-native infrastructure, with deep expertise in LLM/RAG evaluation, guardrails, and observability.

Available to hire

Senior Full Stack & Applied AI Engineer with 10+ years of experience delivering production-grade applications across AI, FinTech, Insurance, and Government. Currently building LLM-powered eCommerce solutions at LG Electronics—architecting RAG pipelines, AI microservices, and intelligent search systems serving millions of users globally.

Known for translating complex business problems into clean, scalable, maintainable engineering solutions using Python (FastAPI), React/Next.js, Java Spring Boot, Kafka-driven event pipelines, and AWS cloud-native infrastructure, with deep expertise in LLM/RAG evaluation, guardrails, and observability.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Intermediate

Javanese

Advanced

Work Experience

Applied AI Engineer at HSAD (LG Electronics)

June 1, 2024 - Present

Lead engineer on LG's AI-powered eCommerce platform — building end-to-end LLM applications using Python (FastAPI) and React/Next.js for intelligent product discovery, conversational search, and personalized recommendations at global scale. Architected production RAG pipelines using Pinecone vector DB, OpenSearch, and Cohere/OpenAI embeddings; improved semantic retrieval accuracy by 25% and reduced search latency by 30%. Developed AI microservices on AWS Bedrock and OpenAI with guardrails including PII redaction, toxicity filters, audit logging, and content policy enforcement. Built an LLM orchestration layer using LangChain, including prompt chaining, context window management, streaming responses, and model routing by cost/latency/task type. Designed Kafka and SQS-driven async ingestion pipelines and deployed inference workloads with Kubernetes autoscaling (HPA + KEDA) to reduce idle compute costs by 20%. Established observability (Grafana, Prometheus, ELK) and implemented an LLM ev

Sr. Full Stack Engineer at Commonwealth of Massachusetts

March 1, 2021 - May 31, 2024

Delivered the Transitional Assistance Program's core eligibility and notice generation system, a mission-critical Java/Spring Boot platform built for reliability and regulatory compliance. Rebuilt the legacy Angular UI in React, cutting page load times by 35% and reducing frontend bug reports by half. Developed and maintained Java 8/Spring MVC enterprise applications with an Angular frontend; upgraded applications to Java 17 and optimized MySQL interactions with Spring Data JPA, custom queries, and indexing. Built reactive state management for complex workflows using RxJS and NgRx patterns. Implemented ETL processes using Java, Spring Batch, SQL, and Oracle databases for eligibility data extraction/validation/loading. Secured APIs with RBAC and JWT; added Redis distributed caching to cut response times by 40% under peak load. Replaced point-to-point calls with Kafka/RabbitMQ messaging and introduced circuit breakers/retry logic across multiple microservices to improve uptime. Built rea

Sr. Full Stack Engineer at Nationwide Insurance

May 1, 2020 - February 28, 2021

Drove decomposition of a monolithic insurance platform into independently deployable microservices using the strangler pattern, reducing monolith dependency by 70% and enabling 3x faster feature delivery. Designed and developed microservices using Java 17, Spring Boot 3.x, Spring Security, JPA, and MySQL with domain-driven design principles. Built React micro-frontends alongside Angular modules for modular UI development across squads. Implemented Apache Camel integration routes for orchestration and transformation, and built REST/event-driven integration flows with Kafka and Spring Boot microservices. Created Kafka Streams pipelines for real-time policy update notifications, reducing delivery time from hours to seconds. Built AWS Lambda (Python) functions and Python ETL jobs for S3-to-DynamoDB-to-SQS and Snowflake ingestion, eliminating overnight batch failures and reducing data lag. Established CI/CD with Docker/Jenkins/Kubernetes to cut deployment time to under 30 minutes with autom

Sr. Full Stack Engineer at Silicon Valley Bank

February 1, 2019 - April 30, 2020

Built internal React/Redux productivity tools and a shared component library adopted by 4+ engineering teams, standardizing UI patterns and cutting development time on new features by 30%. Designed and implemented 7 fault-tolerant transaction-critical financial microservices using Spring Boot with circuit breaker, bulkhead, and sidecar patterns. Developed secure financial data ingestion APIs using OAuth2 + mTLS and high-volume processing pipelines with Spring Batch for millions of records per run with audit trails. Replaced synchronous service calls with ActiveMQ and Kafka-based async event systems to reduce coupling and improve throughput. Built monitoring dashboards and plugins (Splunk/ELK) and optimized Oracle database performance with indexing, query tuning, and partitioning.

Java Full Stack Developer at Drug Plastics & Glass Co

September 1, 2018 - January 1, 2019

Built an Angular 6+ internal portal for manufacturing workflow management, replacing paper-based processes with a fully digital role-secured system used by operations teams. Designed REST APIs with Spring Boot (JAX-RS) including versioning, validation, and consistent error contracts. Implemented Spring Security with OAuth2 and granular RBAC for access control. Automated high-volume data ingestion and transformations using Spring Batch and added Python scripts for scheduled reporting and legacy extraction. Achieved high test coverage with JUnit/Mockito and Jasmine/Karma.

Java Full Stack Developer at Drug Plastics & Glass Co.

September 1, 2018 - January 31, 2019

Built an Angular 6+ internal portal for manufacturing workflow management, replacing paper-based processes with a role-secured system used daily across the facility. Designed RESTful APIs with Spring Boot and JAX-RS with API versioning, validation, and consistent error contracts. Implemented Spring Security with OAuth2 and granular RBAC. Built Spring Batch jobs to automate legacy system data ingestion/transformation and introduced Python scripts for scheduled reporting and legacy data extraction. Achieved 80%+ test coverage using JUnit/Mockito and Jasmine/Karma; collaborated with operations stakeholders to deliver requirements within sprint cycles.

Java Full Stack Developer at Grapesoft Solutions

February 1, 2016 - October 31, 2017

Contributed to a multi-module enterprise web product end-to-end by building backend modules with Spring MVC, Hibernate ORM, and DAO patterns. Developed responsive, accessible UI using HTML5/CSS3, jQuery, and Bootstrap with JSP templating. Built RESTful APIs for paginated retrieval, dynamic filtering, and form workflows to enable smooth interactions without full page reloads. Secured modules with Spring Security session management and RBAC. Wrote optimized Oracle SQL (queries, stored procedures, triggers) for dashboards and transactional flows to improve report generation speed. Worked in Agile/Scrum and managed releases across dev/QA/production using SVN and JBoss.