KGS Technology Group

Aug, 2025 - Present  •  1 yr 1 mo  -  Full time

Designed and maintained scalable backend services in C++ and Python supporting distributed data-processing
workloads, improving throughput by 35% and reducing failure rates by 20% through validation and structured retry strategies.
◦Architected fault-tolerant ingestion and execution pipelines with validation layers and automated recovery mechanisms,
eliminating 90% of repetitive tasks while improving overall service reliability.
◦Served as Designated Responsible Individual (DRI) for production services, participating in on-call rotations,
performing structured root cause analysis, and reducing mean time to resolution from 45 min to under 10 min through
improved diagnostics and observability.
◦Enhanced system observability by implementing structured logging, metrics instrumentation, and tracing, enabling faster
detection of bottlenecks and improving SLA adherence.
◦Optimized compute-intensive workflows by refactoring execution paths, lowering cloud infrastructure costs by 15% while
maintaining performance guarantees and ensuring extensible, maintainable code design.