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Backend Scala Developers

Engineered backend systems with Go and Scala, focusing on real-time data processing. Developed scalable search solutions with Elasticsearch in distributed environments.

• Engineered real-time data systems
• Developed Elasticsearch search solutions
• Optimized Go-based backend services

Designed full-stack applications with Go, Python, and Rust. Expert in building scalable backend systems and integrating TypeScript for frontend solutions.

• Built full-stack applications
• Integrated TypeScript in projects
• Optimized Rust backend systems

Developed backend systems with Rust and Go for high-performance computing. Expert in implementing cross-platform solutions with C++ and Python.

• Built high-performance systems with Rust
• Developed cross-platform solutions
• Optimized C++ and Python applications

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

Specialized in building real-time data pipelines using Kafka and Scala for analytics platforms. Implemented Kubernetes orchestration to streamline deployment of microservices for backend systems.

• Built real-time data pipelines with Kafka
• Implemented Kubernetes orchestration
• Streamlined microservices deployment

Engineered backend services with a focus on microservices architecture using Golang and Java. Developed high-performance APIs with Gorilla Mux and Gin.

• Engineered microservices architecture
• Developed high-performance APIs
• Focused on Golang and Java backend services

Engineered large-scale data processing frameworks leveraging Scala and Apache Spark for real-time analytics. Integrated complex event processing on cloud platforms, achieving seamless interoperability across AWS and Google Cloud. Pioneered the deployment of robust streaming solutions with Kafka, ensuring high-throughput data ingestion.

• Implemented Airflow for orchestrating complex ETL workflows.
• Designed scalable data lakes on Google Cloud Storage.
• Enhanced Spark job performance with custom memory management.
• Built self-healing data pipelines with automated fault recovery.

Designed functional programming solutions with Haskell, Rust, and Go. Expert in building high-concurrency systems on Linux platforms for secure applications.

• Developed Haskell-based solutions
• Built high-concurrency systems
• Secured applications on Linux

Developed high-performance web applications using Perl with Apache and FastCGI. Expert in building robust backend systems with Catalyst and Moose for enterprise applications.

• Built Perl-based web applications
• Expert in Catalyst framework
• Optimized FastCGI performance

Led the development of a scalable microservices architecture in Java and Spring for e-commerce platforms. Architected NoSQL database solutions to support high-volume transactional systems.

• Developed scalable microservices architecture
• Architected NoSQL database solutions
• Supported high-volume transactional systems

Guided development of large-scale AI systems utilizing LLMs and LangChain. Spearheaded prompt engineering techniques for improved AI model performance. Integrated complex machine learning models into interactive applications using Streamlit.

• Led AI system development with LLMs
• Pioneered prompt engineering techniques
• Integrated ML models with Streamlit

Designed and implemented a distributed query engine optimizing real-time data processing at petabyte scale. Spearheaded the development of a containerized microservices architecture using Golang and Docker, enhancing system resilience and scalability. Contributed to advancements in SQL-based analytics platforms, focusing on query optimization and execution efficiency.

• Led migration to a cloud-native data pipeline using PySpark.
• Architected multi-region failover strategies for data consistency.
• Optimized Presto for low-latency analytics on heterogeneous data sources.
• Developed custom plugins for extending SQL query capabilities.

Developed cloud-based applications using AWS and Scala. Focused on backend architecture and system scalability. Integrated Rust and Clojure for performance-critical components.

• Developed cloud-based apps on AWS
• Focused on system scalability
• Integrated Rust for performance-critical parts