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From AI-powered solutions to scalable cloud architectures — end-to-end engineering services tailored to your business needs.
Production LLM features that work with your own data: RAG pipelines, agentic workflows, and multi-provider integrations — with the tracing and evaluation needed to trust them.
Scalable microservice architectures with DDD, CQRS, and event-driven patterns — the kind that kept a 6B-impressions-a-month ad platform running.
End-to-end pipelines from ingestion to insight. Batch and real-time processing, ETL orchestration, and the forecasting and reporting services built on top.
Cloud-native infrastructure on AWS, GCP, and Azure with containers, IaC, CI/CD automation, and observability for reliability at scale.
Location intelligence from satellite imagery to geofencing and route-based targeting for moving screens. Master's degree in geodesy and GIS.
Architecture reviews, performance audits, mentorship, and build-vs-buy calls for teams scaling their systems.
Real projects, real impact. Here's how I've solved complex engineering challenges across industries.
Retailers need to decide which products to carry, in which stores, and in what depth — across thousands of SKUs and locations.
Services for store clustering, SKU optimization, and localized assortment recommendations, backed by SKU–store level demand forecasting and product recommendation on PySpark and Databricks.
Scenario-based planning tools that turn real-time demand signals into assortment and buy-plan decisions.
Merchandise Assortment Planning team. Building services that help retailers decide which products to carry, where, and in what depth — store clustering, SKU optimization, and SKU–store level demand forecasting and recommendations.
Built APIs and core services for a platform running 60,000+ vehicle-top screens across 7 countries with 6B+ monthly impressions: inventory forecasting, campaign management, reporting, and geospatial targeting on event-driven CQRS microservices. Mentored 3 junior engineers.
Built web scraping, database, and API systems for business intelligence products. Improved CI/CD and ETL pipelines and the recommendation system's user behavior processing.
Satellite imagery and geospatial data pipelines, OGC-standard APIs, a backend for deep learning labeling, and image processing optimization.
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