Hire Contract
Scala Developers

Built high-performance, fault-tolerant systems using functional programming principles. Led the design of streaming data platforms using Kafka and ZIO for real-time processing. Developed scalable solutions for complex data transformation pipelines.

• Optimized functional algorithms for large-scale data processing
• Integrated Cats Effect for enhanced concurrency control
• Developed custom operators for stream processing with Kafka

Expert in functional programming paradigms using Cats Effect and ZIO. Developed high-performance systems using FS2 and Akka HTTP for real-time data processing. Specialized in building resilient and scalable web services.

• Developed with Cats Effect and ZIO
• Built systems with FS2 and Akka HTTP
• Specialized in real-time data processing

Co-founded a startup focusing on distributed systems and microservices with Scala. Designed APIs for scalable data-driven applications. Integrated complex SQL queries for data-intensive backend processes.

• Co-founded startup in distributed systems
• Designed scalable APIs
• Integrated complex SQL queries

Designed and implemented distributed backend systems for cloud platforms using Scala and Java. Specialized in optimizing real-time data processing pipelines on AWS and GCP.

• Built scalable cloud services on AWS and GCP
• Optimized real-time data processing pipelines
• Designed distributed backend systems

Designed complex functional programming systems using Scala, Rust, and Haskell. Extensive experience in compiler design and formal verification using Lean 4.

• Expert in functional programming languages
• Experience in compiler design
• Formal verification with Lean 4

Expert in designing distributed systems using Rust, Scala, and Golang. Implemented high-throughput data pipelines with Kafka and ClickHouse for real-time analytics.

• Built scalable distributed systems
• Implemented Kafka-based data pipelines
• Optimized ClickHouse for analytics

Led projects focused on building scalable applications using Scala and Spring. Developed high-throughput messaging systems with Kafka and Redis.

• Led scalable application projects
• Developed high-throughput messaging systems
• Focused on Kafka and Redis

Designed microservices-based architectures using Scala and Akka. Extensive experience in building scalable backend solutions with Spring Boot.

• Designed microservices-based architectures
• Experienced with Spring Boot
• Built scalable backend solutions

Expert in functional programming with the Typelevel stack in Scala. Developed reactive systems using Cats-Effect and fs2 for high-throughput processing.

• Developed with Typelevel stack
• Built reactive systems with Cats-Effect
• Optimized fs2 for processing

Led the development of a distributed event-driven architecture supporting millions of transactions per second. Specialized in building scalable microservices and real-time data processing systems. Extensive experience in optimizing JVM performance for high-throughput applications.

• Architected event-driven systems for high concurrency
• Optimized JVM for low-latency applications
• Built scalable microservices handling millions of users

Developed large-scale data processing systems using Scala and Spark. Specialized in building distributed systems for big data analytics.

• Built distributed big data analytics systems
• Specialized in Scala and Spark
• Developed large-scale data processing systems

Developed high-throughput distributed systems in Rust and Scala, focusing on real-time data processing. Built scalable microservices architecture leveraging Actix Web and Tokio for concurrent processing. Extensive experience in performance optimization for low-latency applications.

• Designed scalable microservices with Actix Web
• Optimized low-latency systems using Rust
• Implemented real-time data processing pipelines

Engineered large-scale data processing systems using Spark and Scala for big data analytics. Optimized storage solutions with Apache Iceberg to enhance query performance.

• Engineered large-scale data processing systems
• Optimized storage with Apache Iceberg
• Enhanced query performance in big data analytics

Designed high-throughput event-driven systems using Akka and Apache Kafka for real-time data processing. Developed a distributed microservices architecture leveraging gRPC and ZIO for fault-tolerant applications. Spearheaded integration of change data capture with Debezium, enhancing data consistency across services.

• Architected scalable event-driven systems with Akka and Kafka
• Implemented microservices architecture using gRPC and ZIO
• Integrated Debezium for change data capture
• Optimized real-time data pipelines