Venkat Chada

Staff Engineer

I worked with GEICO’s Telecommunications Engineering team, responsible for designing and modernizing enterprise-grade IVR systems across multiple lines of business including BOAT, Claims (MOAT), and the GEICO Service Center. As a Staff Engineer, I led the end-to-end architecture and development of contact flows in AWS Connect and built a custom Cloud Contact Portal (CCP) for agents using React and Angular, deployed on Azure AKS for high availability and scalability.

The AWS Connect platform leveraged Amazon Lex V2 bots, Lambda microservices, and API Gateway for real-time interaction routing and data retrieval from downstream systems. I developed several standalone Angular apps and Spring Boot microservices to support operational dashboards, queue management, and analytics. ETL pipelines were automated using AWS Glue for transforming call and session data stored in PostgreSQL and SQL Server via Hibernate. For observability, we relied on CloudWatch metrics, alarms, and structured logging across the microservice ecosystem.

Recently, I integrated Agentic AI and LLM-powered assistants into the IVR platform to create self-learning conversational flows capable of reasoning and adapting in real time. These LLM agents—deployed via AWS Lambda and orchestrated through Amazon Connect and Bedrock—analyze caller intent, perform contextual lookups through Spring Boot services, and dynamically update the conversation path or agent recommendations. This hybrid architecture of Java microservices + AWS AI services has accelerated resolution rates, reduced manual transfers, and established GEICO’s contact center as a forward-looking model of intelligent customer engagement.

Sr. Full Stack Developer

Worked on the EDGAR (Electronic Data Gathering, Analysis, and Retrieval) system for the U.S. Securities and Exchange Commission (SEC), a large-scale platform that automates the submission, validation, indexing, and retrieval of corporate filings.

Contributed as a Java Full Stack Developer designing and implementing Spring Cloud–based microservices with an Angular Material UI, deployed on AWS EKS. Developed a high-performance document search feature using Apache Lucene and Solr, enabling intelligent, full-text querying across millions of filings.

Delivered monitoring and reporting dashboards through CloudWatch and Splunk, implemented Terraform (IaC) for infrastructure provisioning, and managed the development lifecycle using Git and Agile Scrum practices.

Enhanced the application with intelligent document processing and contextual search capabilities to improve data discoverability and analytics. Designed metadata extraction services using Spring Boot and AWS Lambda to classify filings, tag key entities, and deliver enriched search results within the EDGAR workflow.

Full Stack Developer

Worked on the KEB (Know Every Business) platform within Comcast Business — a marketing intelligence web application designed to empower Comcast field representatives to identify and connect with non-Comcast businesses, build tailored service packages, and expand commercial outreach.

The project involved architecting and developing ETL pipelines using Pentaho, Talend, and AWS Glue to ingest, cleanse, and normalize large datasets from multiple third-party sources including CoStar and regional data providers. Leveraged various AWS services for data staging, transformation, and access through Lambda, DynamoDB, API Gateway, and CloudFront to deliver performant, real-time data services for the front-end applications.

Implemented Spring Boot microservices integrated with Angular-based web interfaces, providing intuitive dashboards for marketing teams and field reps. Built infrastructure as code with Terraform and automated CI/CD deployment pipelines using AWS DevOps tools. Ensured high system reliability, security, and scalability across environments.

As part of the core engineering team, I contributed to enhancing data accuracy, scalability, and user engagement through continuous optimization of ETL and API workflows. Designed data validation and deduplication frameworks to improve data quality across business datasets and implemented caching layers for faster lookups. Collaborated with marketing analysts to transform business requirements into technical solutions, enabling actionable insights and streamlined prospect targeting. This platform significantly improved sales efficiency and became a key decision-support system for Comcast’s commercial growth initiatives.

Software Engineer

Contributed to the development of AgentPak® at Norfolk & Dedham Group, a web-based platform built to simplify the creation and management of Property & Casualty (P&C) insurance policies. The system enabled insurance agents and policyholders to create, update, and manage policies efficiently while integrating with MassPrinting’s document output solution for automated print and electronic policy distribution.

Worked as a Full Stack Engineer designing and implementing Spring Boot–based microservices following Netflix OSS architecture patterns including Eureka, Ribbon, and Hystrix for service discovery, load balancing, and fault tolerance. Utilized Hibernate ORM for data persistence with Oracle Database as the backend.

The user interface was initially built using Bootstrap and jQuery and later migrated to Angular to deliver a dynamic, component-driven experience for insurance agents. I also maintained legacy applications developed in Apache Struts and led the migration of core modules from Struts to Spring MVC, reducing technical debt and improving performance and maintainability.

Collaborated with cross-functional teams to enhance data quality, compliance, and reporting capabilities. Implemented CI/CD pipelines using Jenkins and Git for source management, and Terraform for Infrastructure as Code (IaC). Designed auditing and reporting enhancements that improved policy visibility and accelerated agent onboarding and policy issuance cycles.

The resulting platform delivered a more efficient, fault-tolerant, and scalable solution for mid-sized insurance carriers — combining robust backend architecture with intuitive front-end usability, empowering agents to provide faster, more accurate service to their customers.

Sr. Full Stack Developer

Worked on the LiveTrial application at State Street Corporation, a mission-critical hedge fund analytics platform designed to track fund performance, debt allocations, and investment positions across large-scale institutional portfolios. The system delivered high-precision financial reporting and performance attribution for global fund managers.

Developed RESTful web services using Spring MVC and legacy Apache Struts frameworks to integrate with multiple backend systems and provide real-time access to fund data. The UI was built using Google Web Toolkit (GWT) to deliver dynamic, widget-based dashboards and interactive performance charts for portfolio managers and analysts.

Engineered high-performance multithreaded Java components for complex fund and debt allocation calculations. Applied Java concurrency utilities to optimize computation-heavy workloads and reduce response latency under high data throughput conditions. Collaborated with the mainframe teams to synchronize data exchange between distributed systems and COBOL-based legacy processes.

Designed and deployed applications following DevOps principles — automating build and deployment pipelines using Jenkins, Maven, and Shell scripting. Implemented robust monitoring and alerting using Splunk and AppDynamics to track application performance, throughput, and availability in production environments.

Worked closely with quantitative analysts and product teams to validate performance algorithms and reporting logic, ensuring accurate tracking of fund benchmarks, performance ratios, and allocations. The LiveTrial platform became a cornerstone tool for hedge fund clients, enabling precise and transparent performance evaluation at scale.

Java Developer

Worked at CA Technologies on two flagship enterprise products — Arcserve and erwin Data Modeler. Arcserve is an enterprise-grade data protection and disaster recovery platform providing backup, replication, and high-availability solutions across hybrid infrastructures. erwin Data Modeler is a data architecture and governance tool enabling organizations to design, maintain, and deploy enterprise-scale data models across databases like Oracle and SQL Server.

Contributed as a Full Stack Java Developer building and maintaining Spring Boot microservices and REST APIs for Arcserve’s scheduling, job orchestration, and backup-policy modules. Implemented data model automation and schema deployment components for erwin Data Modeler, integrating with Oracle and SQL Server backends for versioned model updates and metadata synchronization.

Developed front-end modules using Bootstrap and later migrated to Angular for improved UI responsiveness and maintainability. Maintained legacy Apache Struts applications and led the migration of key modules to Spring MVC, reducing maintenance overhead and aligning with modern Spring Boot standards.

Implemented DevOps pipelines with Jenkins and Git for version control, and used Terraform for Infrastructure as Code (IaC). These efforts improved deployment efficiency and reduced build times while enhancing product stability and integration across multiple data-protection and modeling tools.