Ganesh Sahu

• Led enhancement of NBA framework across 15,000+ microservices, boosting security and resilience.
• Delivered Kafka resilience improvements (+30% reliability) with idempotent consumers and fail-safe producers.
• Built API and DB virtualization framework, cutting infra costs by 60% and accelerating test cycles.
• Created GenAI-powered internal documentation platform using RAG and LLMs.
• Launched an LLM-based "Judge" system to validate internal Q&A accuracy and coverage.
• Hired, evaluated, and supervised platform teams to align engineering efforts with enterprise priorities.
• Managed platform projects end-to-end, including roadmap planning, resource allocation, and delivery tracking.

• Designed and delivered an order management system, increasing operational efficiency by 40%.
• Developed GenAI plugins for IntelliJ/PyCharm, reducing developer OPEX by 40%.
• Migrated legacy CMS architecture to microservices, saving 50% in licensing.
• Oversaw platform support teams responsible for troubleshooting, rollout, and monitoring.
• Directed system upgrades, performance tuning, and major release deployments.
• Contributed to long-term platform roadmap planning in alignment with business and IT goals.
• Enforced engineering standards for quality, performance, and user satisfaction.
• Participated in vendor evaluation and technology assessments for key platform components.

Healthcare Product Data Engineering

• Designed and implemented scalable AWS data pipelines using PySpark on AWS EMR to process and optimize diverse healthcare data sources. Achieved a remarkable 70% enhancement in data processing efficiency through effective data cleansing, deduplication, and seamless ingestion into AWS Redshift. This streamlined data workflow improved data quality and accessibility, contributing to more informed healthcare decisions.
• Python|Pyspark|AWS(Elastic MapReduce)|AWS S3|AWS Redshift|Parquet.

Transformative Observability Product

• Developed an innovative observability product for log shipping and tracing, resulting in a 80% improvement in real-time tracking capabilities for 10+ microservices at a major banking client. boosting overall operational efficiency by 25%.
• Springboot|Kafka|FileBeat|Elastic Search|Logstash|Kibana|Docker|AWS

Legacy Stack Migration(Critical data transformation product)

• Led the migration from a legacy stack to a highly scalable architecture, resulting in a remarkable 40% improvement in application performance and resource utilization.
• Took a leading role in implementing data pipeline for efficient data processing of large files, while successfully integrating a SAAS-based Authorization framework.
• SpringBoot|Java|Kafka|Microservices|Oauth 2.0|Angular|AWS

Innovative MongoDB Framework

• Pioneered development of a MongoDB framework, achieving a remarkable 50% improvement in query performance by seamlessly converting named queries to native queries and optimizing query generation.
• Designed and developed end to end services, architecture and deployment.
• Java|SpringBoot|MongoDB|Microservices| Kafka|PCF

IoT Product Engineering

• Engineered an innovative IoT product, integrating sensors, connectivity, and cloud services, resulting in scalable and reliable solution that enabled 30% faster real-time data monitoring and analysis.
• Designed and developed end to end system.
• Java|Predix IOT|AWS

Plugin Development for CMS

• Led the development of Java plugins and themes using JSR 286 for core Insurance product.
• Designed and developed service and GUI components.
• SpringBoot | Javascript| Microservices