Architected AI assisted tool to accelerate client implementations for employee data loading from client's source systems to Lyric schema. Used RAG with knowledge base of similar source system mappings to predict column mappings, LLM Agent generates SQLs for multi file joins and data translations, enables custom manipulations via plain English prompts. Ensured no client data exposed to LLM by operating on CSV/XLSX headers with guardrails. Implemented evals with LLM as a judge for testing and prompt injection detection.

Launched a streamlined onboarding questionnaire for client configuration setup, transforming lengthy client interviews into a structured workflow that directly translates answers into Lyric system configuration. Served as architect for cross location teams in NYC and Atlanta.

Launched a comprehensive client management suite handling full client lifecycle from onboarding to billing and mini-app management. Built micro-front-ends and micro-services architecture enabling multiple teams across NYC and India to work in parallel, delivering a unified experience while centralizing metadata accessed at every login.

Built a tool for bulk employee data imports including work agreements, positions, and earnings/deductions with comprehensive business validation to ensure data integrity for complex HR/payroll setups.

Built event-sourced activity log system with immutable audit trails, capturing every data change with actor identification, before/after values, and business context for auditability, compliance and security.

Identified critical scaling challenge: custom integrations for 30 clients in pipeline would require 25 developers and 6+ months (4 weeks per integration × 4 integrations per client). Built a proof of concept that abstracted integration logic into configurable components: Who (participants like associates, deductions, legal entities), When (time periods: delta sync, as-of-date, pay period), What (data sources), Transformations (client/partner specific logic), and How (delivery via SFTP, API). Presented to ADP leadership, secured buy-in from VP of Application Development, hired distributed teams across New York and India, and put together a comprehensive roadmap.

Led, architected and delivered the complete product from 0-to-1 in under 6 months. Personally implemented core algorithms for parallel data fetching and dynamic merging from multiple sources (a lightweight GraphQL-like implementation) using metadata-driven AST parsing and multi-threaded Go routines. Go Text Templating made complex data transformations accessible to non-developers. Established FTP and REST delivery methods to transmit data to integration partners.

Reduced development time for HR, Payroll, Talent, Benefits, and Time integrations from 4 weeks to 4 hours (a 40x improvement), freeing up 20+ developers for other projects. A lean team of 5 implementation associates now manages all integrations, cutting client implementation time by a month. Tool drove wide adoption and earned organization-wide recognition.

Today, the tool generates 30,000 client files per pay period at Lyric. Team in the process of adding Agentic AI features to auto-generate Go text templates from user prompt, further streamlining workflow and reducing cognitive load for Integration Specialists.

Built API support for three distinct access patterns: event-driven delta sync, daily snapshots, and async as-of-date queries, providing flexible integration options for diverse client partner needs.

Streamlined new hire onboarding by unifying disparate HR, payroll, benefits, and time workflows into a single questionnaire with comprehensive business validation, eliminating repeated questions and enabling a one-stop onboarding experience for each client associate

Implemented a metadata-driven framework supporting modular mini-apps: onboarding flows dynamically adapt to enabled client packages (e.g., 'Time'), only surfacing relevant steps and ensuring tailored, automated experiences

Developed a bulk import tool enabling clients to onboard multiple associates simultaneously, streamlining large-scale new hire processes

Led new hire onboarding team across NYC and South Africa, delivering a unified one-stop onboarding solution

Integrated TMBC’s strengths‑based application into Lyric, designing backend calculations to support the approach.

Built performance management apps enabling goal setting, review workflows, and continuous feedback.

Launched Engagement Pulse to measure engagement and alignment, delivering actionable org health insights.

Early member of the Lyric Payroll product team—learned payroll by manually processing real use cases alongside product owners to inform robust product and tool development

Designed and developed client-facing data entry platforms, including bulk import tools and interactive pay data grids for efficient associate earnings, deductions, benefits, and tax management

Integrated with payroll engines like Autopay to automate payroll runs, creating Node.js services to translate engine output into Lyric schema, and iterated features based on feedback from clients, SMEs, and implementation teams

Led a development team in India as technical lead, overseeing delivery and enhancement of critical payroll capabilities