Solutions Architect & Data Engineer
I help startups and enterprises architect robust data pipelines, real-time analytics platforms, and complex backend systems. With over 15 years of deep technical expertise, I bridge the gap between architectural vision and production-grade execution.
I am a technology leader specializing in Backend Architecture and Big Data Systems. Currently, I operate as an independent consultant, delivering specialized architectural solutions for complex technical challenges.
My expertise spans the entire engineering lifecycle. I solve problems end-to-end—from refining ambiguous problem statements and crafting scalable designs to hands-on architecting, coding, and shepherding systems into production.
My leadership journey spans diverse high-impact roles, defined by a proven track record of designing high-concurrency systems and real-time platforms. I have served as Chief Technology Officer at Bidsvilla, Chief Architect at Intents Mobi, and Principal Engineer at Expedia, alongside senior engineering tenures at Guavus and Reliance Jio.
I empower companies to leverage AI/ML to supercharge their data engineering and analytics landscapes. Pioneering ML production deployments since 2013, I focus on solving complex challenges at the intersection of large-scale big data technologies (Hadoop, Spark, Flink) and distributed backend systems.
Delivering strategic architectural guidance and end-to-end engineering solutions. Specializing in refining problem statements, system design, and production-grade implementation for complex backend and big data challenges.
Architected an advanced Orchestration and Building Management System. Leveraged Node.js, React, Postgres, and Generative AI to automate building model generation.
Led the design of mapping auxiliary services. Optimized distance matrices, routing engines, and geocoding APIs. Enhanced infrastructure for better pothole rendering and ETA predictions.
Spearheaded data consolidation pipelines for Booking Commerce Data. Architected systems to enrich booking data for profitability analysis and marketing optimization using the Hadoop ecosystem.
Built monitoring, alerting, and auto-scaling services from the ground up using Akka and Scala. Developed internal tools for configuration management.
Designed a high-concurrency real-time e-auction platform. Managed the entire technology stack and product roadmap.
Early adoption of Machine Learning (2013): Deployed production-grade ML models for outlier detection and classification on massive network datasets. Developed large-scale analytics engines processing petabytes of telecom data.
End-to-end architecture for an intelligent Building Management System. Integrates generative AI for automated model creation.
High-performance mapping services including custom routing engines, distance matrices, and geocoding. Implemented min-cycle-graph algorithms for address resolution.
Architected modern data pipelines for consolidating booking commerce data, driving profit estimation and marketing strategies.
Distributed monitoring and auto-scaling service built from scratch to handle massive scale cloud infrastructure.
Production-grade e-auction system designed for high concurrency and low latency bidding updates.