Senior Software Engineer / Forward Deployed Engineer

Led data-quality initiatives for Oracle Asset Inventory across OCI services, using AI-assisted analysis to resolve critical inconsistencies and improve data reliability by 15%. Designed a database snapshot delta optimizer that reduced data redundancy by up to 99% and storage needs by approximately 90%.

Onboarded four enterprise datasets supporting real-time ingestion of roughly 10,000 change events per second through Apache Spark pipelines. Built a hybrid RAG system using vector search, PostgreSQL full-text search, reciprocal rank fusion, reranking, source citations, evaluation across 700+ benchmark questions, and retrieval-time authorization and lifecycle controls.

Translated product, platform, and AI infrastructure needs into solution architectures, APIs, implementation plans, and production services covering inference, billing, access control, observability, and GPU infrastructure. Built an internal LLM-powered natural-language query dashboard using self-hosted Llama, DeepSeek, and Qwen models with fallback mechanisms.

Designed quotas and billing services for an Inference-as-a-Service platform, achieving a 99% payment success rate. Architected a Kubernetes GPU cluster manager for 40+ GPU nodes, improved utilization by 50% with NVIDIA MIG, delivered 15+ Golang APIs, and integrated RBAC across 30+ APIs. Also improved observability, reduced logging costs, and reduced eBPF ingestion latency from approximately 700 ms to 100 ms.

Reduced compute costs by 30%, saving more than $100K per month while preserving 99.99998% availability-domain resiliency. Developed multi-region capacity-management and autoscaling strategies for major traffic events, including Black Friday and year-end demand.

Contributed to log compression and deduplication work that reduced storage by 40%, and created similarity detection across 500,000+ log records using cosine similarity and disjoint-set structures. Improved a Golang SDK, configuration injection, monitoring, and incident operations, adding 30+ metrics and alarms and handling Severity-1 and Severity-2 incidents.

Decomposed an overloaded Python monolith into two microservices, built a Golang service, and migrated more than 60 APIs while maintaining production functionality. Developed 25+ APIs for inventory, catalog, and order services and reduced API latency by 40% through database-query optimization.

Introduced Redis-based distributed locking for critical inventory workflows. Built a GCP Cloud Function for asynchronous CSV validation that processed 100K-row files in under one minute, and improved replenishment workflows to reduce related capital losses by approximately 20%.

Architected asynchronous batching, upload, and download workflows for diagnostic data using AWS S3. Enabled 20 workers to process workloads concurrently.

Automated infrastructure health checks and operational tasks, improving engineering efficiency and saving the team more than 20 hours per week.

Developed and maintained full-stack application features using Java, Spring Boot, React, and MySQL. Implemented REST APIs and responsive user interfaces for core product workflows.

Built user-management and application APIs with input validation, authentication, and database operations. Created reusable React components and integrated frontend workflows with backend services.

Bachelor of Technology in Computer Science.