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

At Halaplay, I led the development and scaling of a cross-platform mobile app using React Native, growing the platform to millions of users. I managed a lean team of 7 engineers, overseeing daily transactions of $150K+ (Rs. 1 Cr. +). With a registered user base of 9M+ and a 4M MAU, I successfully guided the company through its journey from seed funding to Series A, culminating in 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 to drive impactful outcomes.
• 🔹Technology & Architecture Oversight: Developed and implemented long-term technological blueprints, while managing company-wide architecture, platform, and data processes. Designed and scaled a Node.js/Fastify-based backend, growing throughput from 4K TPS to 8K+ TPS at peak, and optimized REST APIs using Kubernetes for container orchestration and auto-scaling. Leveraged Apache Spark to build massively scalable ETL pipelines for real-time leaderboard computation across millions of users.
• 🔹Innovation & Emerging Technologies: Maintained a deep understanding of current and emerging technologies, applying them to enhance platform performance and drive product innovation. Integrated AWS Kinesis and Elasticsearch to power real-time user analytics, enabling near-instant insights into user behavior and in-game performance.
• 🔹Cross-Functional Collaboration: Collaborated with internal teams across product, design, and operations to ensure seamless integration of technology with business objectives, driving mutually beneficial outcomes.
• 🔹Enterprise-Level Design & Systems Architecture: Designed enterprise-level system architectures, ensuring scalability, security, and performance as the platform expanded.

• $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

As an Engineering Lead at MoEngage, I led a team of 3 engineers to build In-App Native—an in-app popup system for quick, user-segmented marketing campaigns. It enabled marketers to create and launch personalized in-app experiences within minutes, without writing a single line of code.

• 🔹Scalable Microservices & SDK Development: Developed Unity and Windows SDKs, Python SDK & built scalable microservices using industry-standard frameworks like Pyramid, Django, and ExpressJS (Node.js). Hands-on experience with Docker-based microservice architectures and their production-grade implementations.
• 🔹Product Development & Revenue Growth: Spearheaded the development of Flows, a no-code/low-code tool enabling cross-channel user journey orchestration. The product became a new revenue driver & core offering in MoEngage's marketing automation suite.
• 🔹Real-Time Data Processing & ETL: Designed and implemented a real-time ETL pipeline using Apache Kafka & Apache Samza, capable of handling 40K–60K TPS. This powered the Flows engine, enabling dynamic user journey execution & real-time personalization across channels.
• 🔹Massive Scalability: Engineered solutions to handle millions of concurrent hits, scaling to support 30M–35M DAUs, with a strong focus on platform reliability, fault tolerance, & latency optimization.
• 🔹End-User Support & Service Guidelines: Led efforts to streamline end-user support operations, introducing well-defined service policies & playbooks for fast & consistent ticket resolution—boosting customer experience & CSAT scores.
• 🔹Engineering Feasibility & Product Reliability: Evaluated the technical feasibility of new features & design proposals, ensuring alignment with performance, reliability, and compliance goals. Drove the implementation of proactive strategies to improve system health and fault recovery.
• 🔹Collaboration & Product Introduction: Worked cross-functionally with product, QA, & customer success teams to ensure seamless rollout of new features.

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

A modern REST API service for managing and serving AI prompts, providing a centralized repository for storing, versioning, and retrieving prompts for various AI applications:

• $RESTful API for prompt management with comprehensive versioning capabilities
• $Tag-based organization system for efficient prompt discovery and categorization
• $Centralized repository enabling teams to collaborate on prompt engineering and maintain quality standards

A modern Role-Based Access Control (RBAC) system built with Fastify, Open Policy Agent (OPA), and MongoDB, featuring multi-tenancy support for enterprise-grade authorization:

• $Policy-as-Code: Leverages Open Policy Agent for declarative, fine-grained access control policies
• $Multi-Tenancy Support: Built-in support for managing access control across multiple tenants/organizations
• $High-Performance Backend: Fastify-based API server with MongoDB integration for scalable authorization services

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