Leading one of core engineering team to build Lyric's AI-assisted client onboarding platform, setting ambitious targets like 2 day client implementations and delivering internal tools and workflows that have substantially accelerated project timelines

Architected an implementation facing tool empowering associates to join, transform, and map HR/payroll data using plain text input to LLM generated SQLs, enabling powerful no-code customization

Established robust privacy safeguards: All mappings, transformations, and joins are performed solely on CSV/XLSX headers, ensuring no actual client data is shared or exposed to the LLM

Led initiatives to secure LLM automation using LLM as a judge, with prompt injection detection, mitigation strategies, and guardrails to ensure strict alignment between user intent and LLM output

Launched a streamlined onboarding questionnaire platform transforming lengthy client interviews into a structured workflow that directly translates answers into Lyric system configuration. Served as architect 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, centralizing metadata accessed at every login, leading multiple teams in NYC and India

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

The AI assisted onboarding tool amplifies usability of our existing suite implementation teams previously spent months converting client schema using in house tools; now they interact with an LLM to transform data. We strategically apply AI to solve specific inefficiencies, leveraging an established suite of tools

Convinced ADP leadership with a proof of concept for a scalable outbound integration system, earning strong support from the VP of Application Development. Hired and led distributed teams across New York and India, delivering the tailored ETL tool from 0-to-1 in under 6 months and driving wide adoption

Designed and implemented core algorithms for dynamic data merging of pre-defined datasets using metadata-driven (AST), multi-threaded (Go routines). Go Text Templating made data logic 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 30+ developers for other projects. Enabled a lean team of 10 to manage integrations and cut client implementation time by a month, since each client typically had 4 outbound integrations, earned organization-wide recognition

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

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 (The Marcus Buckingham Company) strengths-based application into the Lyric ecosystem, designing backend calculations to fully support the strengths-based approach for clients

Designed and developed performance management applications for Lyric, enabling robust goal setting, review workflows, and continuous feedback for client organizations

Built and launched Engagement Pulse: a solution to collect and analyze engagement and alignment data across associates, providing actionable insights into organizational health

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