Vardaman PK
@vardamanpk1
Lead Software Engineer specializing in GenAI orchestration and high-performance web systems.
IndiaWhat I'm looking for
I’m a strategic technical leader with 12+ years driving high-scale engineering at PayPal and Zoho. I specialize in GenAI orchestration, AI agents, distributed systems, and web performance optimization—always translating complex requirements into scalable, high-performance applications.
At PayPal, I built ppagent, PayPal’s TypeScript-native framework for AI agent development, including unified LLM configuration, built-in memory, and multi-agent orchestration. I implemented a Node.js MCP Server to securely expose Customer Centric Insights and built orchestration pipelines for context-aware account analysis, improving fraud investigation turnaround time by 40%. I also delivered web performance wins through Node/NPM upgrades, Webpack module federation, tree-shaking, code-splitting, service workers, and CDN pipeline tuning with RUM/web-vitals benchmarking.
I lead cross-functional teams in remote environments, including a 10-member effort maintaining a TypeScript and ReactJS widget library used by 20+ teams for mission-critical case management tools. In parallel, I spearheaded “Quantifying Experience,” targeting a 3x reduction in average case handling time to improve operational efficiency. Previously, I led performance and scaling improvements for PayPal Invoicing—cutting the 95th percentile perceived latency from 14 seconds to 3 seconds—while engineering microservices, containerization, CI/CD automation, and a Progressive Web App for user-centric reliability and speed.
Experience
Work history, roles, and key accomplishments
Built ppagent, PayPal’s TypeScript framework for AI agent development, enabling teams to scaffold production-ready agents in under two minutes; led a 10-person team maintaining a TypeScript/React widget library used by 20+ teams. Designed an end-to-end CCI Chat Assistant for AI-driven investigations, fine-tuned domain SLMs to improve fraud turnaround time by 40%, and reduced web latency via Webpac
Led an 11-person team for the PayPal Invoicing product (700M+ USD revenue, 600K MAU) and reduced p95 customer perceived latency from 14s to 3s using React lazy loading, code-splitting, tree-shaking, and service workers. Built observability with Datadog RUM/web-vitals for SLO optimization and scaled the product across geo-distributed data centers with microservices, containerization, and CI/CD auto
Collaborated with product/design teams to improve homepage invoicing fragments, increasing first-time invoicing user growth from -13% to 6% YoY. Migrated the UI from DustJS to ReactJS and iterated based on user feedback across invoicing flow stages.
Senior Software Engineer
Altimetrik
Apr 2016 - Jul 2017 (1 year 3 months)
Migrated a monolithic C++ application to a multilayer architecture using ReactJS/Node.js for the front tier and Spring Boot REST APIs for the mid tier.
Member Technical Staff
Zoho
May 2013 - Mar 2016 (2 years 10 months)
Added reporting capabilities to an active directory password reset tool and developed a database-driven popup UI framework. Optimized SQL queries to improve product performance and scalability.
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology and Science, Pilani
Master's in Artificial Intelligence and Machine Learning, Artificial Intelligence and Machine Learning
2024 - 2026
Grade: 8.16 CGPA
Master’s in Artificial Intelligence and Machine Learning (CGPA 8.16) from BITS Pilani from May 2024 to March 2026.
Sri Venkateswara College of Engineering
Bachelor's in Information Technology, Information Technology
2009 - 2013
Grade: 7.9 CGPA
Activities and societies: President of I.T department
Bachelor’s in Information Technology (CGPA 7.9) from Sri Venkateswara College of Engineering from September 2009 to May 2013.
Availability
Location
IndiaAuthorized to work in
Portfolio
github.com/AIML-R/faq-assistantJob categories
Skills
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