BUILDING SCALABLE PLATFORMS FOR THE FUTURE

Led strategic initiatives across 8 products and 100+ engineers, driving platform efficiency, scalability, and business agility:

• $API Management: Designed and delivered an in-house API Management Portal using Kong API Gateway, streamlining API governance, onboarding, and lifecycle management at scale
• $Platform Engineering & Internal Developer Platform (IDP): Architected a self-service IDP enabling CI/CD pipelines, software cataloging, ownership discovery, telemetry, observability, and standardized development practices
• $No-Code/Low-Code Workflow Orchestration: Built a workflow automation platform using Camunda, empowering business teams to design and run workflows with minimal engineering involvement
• $Data Platform & Tooling: Delivered end-to-end data pipelining tools like Segment for reliable data ingestion and developed analytics platforms using Apache Superset to improve decision-making
• $Engineering Resilience via Chaos Engineering: Spearheaded the implementation of a Chaos Engineering Toolset, proactively identifying system weaknesses & improving service reliability
• $Feature Experimentation at Scale: Built an in-house feature flagging and experimentation platform, replacing Adobe Target, to enable progressive rollouts & A/B testing
• $Gen AI for Developer Productivity: Built a GenAI RAG system using Haystack, Langchain & open-source LLMs, integrated with Confluence, Jira, and security policies with functional calling to Snyk for real-time insights
• $Scalable Frontend Architecture: Designed a reusable React-based frontend framework to support Microfrontend Architecture, enabling faster development and consistent UI patterns

Led a team of engineers to build an innovative A/B Testing Platform for Lowe's, designed to enhance experimentation and data-driven decision-making across the company:

• $High-Performance Platform: Leveraged consistent hashing algorithm and CDN edge workers to execute A/B tests with zero storage, enabling rapid hypothesis testing in real-time
• $Cost Efficiency & Scalability: Built the platform from scratch to directly compete with leading A/B testing tools, replacing third-party vendors and significantly reducing operational costs
• $Real-Time Testing & Seamless Integration: Developed plug-and-play SDKs for client, server, and mobile applications, empowering teams to scale experiments with minimal friction
• $Data Analytics & Visualization: Designed and implemented a data pipeline leveraging Kafka and Spark for real-time experiment analysis and insights

Led the development and scaling of a cross-platform mobile app using React Native, growing the platform to 9M+ registered users (4M MAU) and managing daily transactions of $150K+. Guided a lean team of 7 engineers from seed funding through Series A to a successful acquisition within 3 years:

• $Strategic Leadership & Execution: Transformed complex technological challenges into clear frameworks and actionable plans, balancing macro-level strategy with micro-level execution
• $Technology & Architecture Oversight: Developed long-term technological blueprints while managing company-wide architecture, platform, and data processes
• $Innovation & Emerging Technologies: Applied deep expertise in current and emerging technologies to enhance platform performance and drive product innovation
• $Cross-Functional Collaboration: Worked closely with product, design, and operations teams to ensure seamless integration of technology with business objectives
• $Enterprise-Level Design & Systems Architecture: Designed scalable, secure system architectures to support rapid platform growth and millions of users

• $Entrepreneur First is an international Talent Investor, which supports individuals to build technology companies
• $Started up with an idea in Agritech and explored market viability
• $Used critical thinking to break down problems, evaluate solutions and make decisions

Led a team of 3 engineers to build In-App Native—a platform that enables personalized in-app experiences within minutes, empowering marketers to engage users without writing a single line of code:

• $Scalable Microservices & SDK Development: Developed Unity & Windows SDKs and built scalable microservices using Pyramid, Django, and ExpressJS with Docker-based architecture
• $Product Development & Revenue Growth: Built the Flows product offering with limited resources in a time-constrained environment, creating a new revenue stream
• $Massive Scalability: Engineered solutions capable of handling millions of concurrent hits and profiling 30M-35M DAUs
• $End-User Support & Engineering Feasibility: Led efforts to enhance support, established service policies, and assessed designs for technical feasibility

Maintained game server written in C# & WCF for JungleeRummy and supported software integration and implementation.

A comprehensive directory featuring over 7,000 AI tools across 1,000+ task categories, designed to help users discover the perfect AI solution for their specific needs:

• $Extensive Catalog: Curated collection of 7,000+ AI tools organized by functionality and use case
• $Advanced Search: Intuitive search functionality to quickly find relevant AI tools
• $Community-Driven: Platform for AI tool creators to showcase their products to a targeted audience

A specialized resource hub focused on development tools and platforms specifically for AI engineers and developers building the future of AI applications:

• $Developer-Focused: Carefully selected tools and platforms optimized for AI development workflows
• $Featured Tools: Highlighting the most innovative and useful AI development tools each month
• $Technical Deep-Dives: Detailed information about each tool's capabilities, APIs, and integration options

An educational resource providing comprehensive guidance, best practices, and reference materials for AI engineers at all skill levels:

• $Practical Knowledge: In-depth tutorials, guides, and reference materials for AI development
• $Best Practices: Industry standards and recommended approaches for building robust AI systems
• $Learning Path: Structured content for engineers at different stages of their AI journey