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Build and scale the cloud platform (Enernet) that monitors 1,000+ battery energy storage systems, handling high-throughput telemetry via Kafka, TimescaleDB, and AWS IoT Core while optimizing cost, latency, and reliability.
Build and maintain ultra-low-latency AWS infrastructure for high-frequency crypto trading, automating deployments and optimizing performance with Terraform, Python, and Prometheus.
Build IoT data pipelines: design real-time data architectures, implement MQTT/Kafka brokers, optimize time-series storage, and create monitoring dashboards.
Build resilient data pipelines and self-serve tooling for a crypto market maker, normalizing market, trading, and portfolio data in real time for desks, risk, finance, and research.
Builds backend systems for real-time cloud and AI security detection, designing scalable architectures with Kubernetes, Neo4j, ElasticSearch, and related tools.
Backend engineer building and optimizing databases, ETL pipelines, and FastAPI services to power a data-driven platform for a global communications agency.
Builds distributed Rust-based backend systems for real-time sensor data processing, storage, and APIs to detect threats and surface operational insights.
Build and scale a cloud-security platform that processes runtime data across graph, event and messaging systems using Python, Kubernetes and multi-cloud infrastructure.
Builds and maintains backend services in Go/Java for a cloud-native security platform that uses runtime data to prioritize risks and protect AWS/GCP/Azure environments.
Develops Go-based backend APIs for solar tracker edge devices, enabling real-time monitoring and control of global solar fleets with IoT integration and high-availability architectures.
Lead a team to architect and build a modern, scalable Azure/Databricks data platform handling industrial sensor data, while mentoring engineers and collaborating with data scientists.
Build backend systems that correlate real-time cloud security data into actionable risk maps using Kubernetes, Go, and AI-driven detection pipelines.
Lead backend development for NexusGRID, a Django-based platform that integrates energy-asset telemetry, AI forecasting, and real-time analytics for utilities and renewable-energy developers.
Build and scale a real-time energy-trading platform that turns solar/wind/storage data into market bids and handles billing-grade reproducibility for 850 GWh of assets.
Build and own low-latency streaming infrastructure for a proprietary trading firm, processing live market data and delivering real-time alerts to traders using .NET Core, Kafka, PostgreSQL, and time-series databases.
Build and scale a distributed cloud-security platform in Python, working with Neo4j, ElasticSearch, TimescaleDB, Redis and RabbitMQ across AWS, GCP and Azure.
Builds distributed Rust-based backend systems for real-time sensor data processing, storage, and threat detection APIs using Kafka, PostgreSQL, and Kubernetes.
Develops complex enterprise applications with backend focus, using Java/Spring Boot for REST/SOAP microservices, Oracle/TimeScaleDB, and React/JavaScript for frontend, serving industries like energy.
Builds and optimizes backend services in Java/Spring Boot, working with JPA, Docker, and relational databases for a product company.
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