Abhinav Srivastava

Led and achieved ~80% SDLC automation using OpenAI Codex and Cursor-based agentic workflows covering PRD analysis, Jira ticket creation, sprint-wise developer assignment, codebase/context understanding (code, Jira, Confluence, Slack), spec-driven development, automated PR creation with test cases and acceptance criteria validation, cross-repo review confidence scoring, and post-deployment sanity checks. Revamped the Health and Life insurance buying journey using Next.Js + SDUI architecture + BFF framework, enabling 90% faster content & placement changes without deployments and reducing standard feature delivery time by ~25% and decreasing customer dropoff rate by 35% for quote to payment. Architected an AI-assisted UI configuration engine that converts design inputs into SDUI configs by learning from historical configs. Designed and built Lead360, a sales-agent dashboard for proposal creation and quote sharing, boosting agent-led insurance sales by ~35% through faster lead conversion. Increased pre-sales assistance conversion rates by 60% by building a SDK for a bi-directional co-browsing experience for pre-sales agents to control and explain and guide on the customers screen using websocket, socket.io, rrweb, openReplay and Context API. Built an AI-powered UI Error Event Analyzer & Report Publisher, auto-generating daily/weekly Slack reports with root-cause hints and fixes, cutting frontend production bugs by ~95%. Owned and delivered critical revenue-impacting changes (0% GST rollout, advance payment, normal purchase flow), reversing a 50% sales trend to ~150% growth and increasing customer acquisition by ~15% within two weeks. Served bi-weekly on-call ownership, resolving production incidents and improving system reliability using Amplitude, Segment, Coralogix, Zenduty, Kubernetes, Datadog, NewRelic and Jenkins.

Core contributor to a risk-decisioning & workflow SaaS platform used by Citi Bank and Wells Fargo, building and maintaining 200+ reusable components and screens with Angular, TypeScript, RxJS, and DevExtreme. Spearheaded a React.Js pilot project exploring LLM and GenAI use cases in fintech. Upgraded Angular to v17, incorporating the Signals() pattern and introducing NgRx state management to streamline application architecture. Improved component performance, including a 40% overall decrement in First contentful paint (FCP), Largest contentful paint (LCP), Total blocking time (TBT) and Interaction to next paint (INP) by migrating from CodeMirror5 to CodeMirror6 and a 25% reduction in API calls through response caching and debouncing. Refactored routing patterns, migrated forms to reactive and typed approaches, and implemented the Model-Adapter pattern, enhancing maintainability and UI-API separation. Ensured compliance with ADA accessibility standards, enabling keyboard navigation and speech recognition. Acted as Release Manager, coordinating sprint releases, QA sign-offs, and deployments; also led interviews, campus hiring, and intern mentorship.

Built dynamic screens in ReactJS featuring multi-tab layouts, paginated card displays, and carousel animations using MaterialUI and FlexGrid. Developed a search feature with Redux integration, lazy loading, and search term highlighting. Designed interactive data visualizations (bar, line, pie) using HighCharts, including skeleton loaders and fault-tolerant Data Unavailable states. Wrote dummy APIs using Node.js (Express.js) and Servlets (JDBC) for testing purposes. Developed complete APIs with Spring, Struts 2, and Hibernate, performing CRUD operations and complex table joins with HQL and SQL. Conducted unit testing using Jest and Enzyme, performed performance testing with DevTools Profiler, and optimized React code using React.memo and useMemo. Enhanced Webpack configurations for efficient imports. Developed a pure JavaScript carousel for a PWA. Worked in a micro-frontend environment with Ext.js and utilized libraries such as Redux Persist, jsPDF, Google Speech-to-Text, and more.