Senior Software Engineer specializing in Go, distributed systems, and high-throughput microservices. Experienced in building automated AI-driven engineering workflows and optimizing critical latency paths. Currently exploring Rust and Quantum Computing.
AI-driven unit testing workflows, MR diff coverage automation, CI/CD operational efficiency, and cross-repo validation features.
An ultra-fast, zero-allocation Go rate limiter achieving sub-40ns execution time using a 64-shard in-memory engine, atomic Redis Lua scripting, and multi-tier failover.
Implementation of a Quantum Genetic Algorithm (QGA) combining qubit chromosome representations and quantum rotation gates to solve the NP-hard 0-1 Knapsack problem.
In-depth technical experiments across concurrency, quantum superposition, distributed failover, and AST analysis.
A deep dive into high-throughput concurrency in Go: 64-shard FNV-1a mutex partitioning, zero heap allocations, and nanosecond latency guarantees.
Simulating qubit superposition states, probability amplitude rotations, and quantum-inspired evolutionary search to solve NP-hard Knapsack problems.
Patterns for zero-downtime distributed systems: circuit breaker-driven fallbacks from Redis clusters to localized sharded memory engines.
Designing zero-downtime distributed rate limiters: handling Redis cluster network partitions, graceful degradation to sharded memory, and consensus recovery.
How I engineered RateShield: an ultra-fast, zero-allocation Go rate limiter with a 64-shard memory engine, atomic Redis Lua scripting, and multi-tier failover.
Exploring Quantum Genetic Algorithms (QGA): leveraging qubit chromosome representations and quantum rotation gates to solve the NP-hard 0-1 Knapsack problem.
Whether you want to discuss backend architectures, rate limiting benchmarks, quantum algorithms, or engineering leadership opportunities, I'd welcome the conversation.