Adhokshaj V

Software Engineer

Mountain View, California, United States10 mos experience

Key Highlights

Achieved 99.99% service availability in fraud detection.
Led successful migration to AWS, boosting customer satisfaction by 80%.
Reduced claims processing time by 40% with real-time tracking.

Stackforce AI infers this person is a Backend Engineer with expertise in Fintech and Cloud-Native SaaS solutions.

Contact

Skills

Core Skills

Backend EngineeringCloud-native DevelopmentSoftware DevelopmentJava Development

Other Skills

AWSAmazon DynamodbAmazon Web Services (AWS)Apache KafkaCI/CDCQRSChroma dbCore JavaCucumberData MigrationDatabase OptimizationDockerEDAEVENT SOURCINGEvent Driven

About

As a seasoned software engineer, I am driven by a passion for building systems that are scalable, efficient, and resilient. I thrive in designing backend solutions that not only solve complex problems but also drive innovation in a rapidly evolving digital landscape. My experience spans working on cloud-native web development projects, where I’ve contributed to the creation of high-performance systems. I take pride in delivering work that is both technically sound and thoughtfully crafted to scale with modern demands. Currently, I am focused on backend engineering roles that challenge me to push the boundaries of system architecture and development. Alongside my work in backend systems, I am deeply interested in machine learning and artificial intelligence, and I look forward to exploring their transformative potential within the context of software development. I'm always looking to collaborate with forward-thinking teams to build solutions that define the next generation of technology.

Experience

Capital one

Software Engineer

Feb 2023 – Sep 2024 · 1 yr 7 mos · McLean, Virginia, United States · Remote

Ensured 99.99% service availability for fraud detection systems by implementing Kubernetes auto-scaling, guaranteeing uninterrupted operations during peak transaction periods.
Integrated microservices with Apache Kafka for real-time fraud alerting, significantly reducing detection and response times, enabling faster threat mitigation.
Enhanced system performance by optimizing fraud detection algorithms and refining high-volume database queries, ensuring seamless handling of large transaction datasets.

KubernetesApache KafkaFraud DetectionDatabase OptimizationBackend EngineeringCloud-Native Development

Amazon web services (aws)

Software Development Engineer

Apr 2022 – Feb 2023 · 10 mos · Seattle, Washington, United States · Remote

Spearheaded the migration of legacy data from third-party software to a proprietary AWS-hosted Cloud-Native web application, driving an 80% improvement in customer satisfaction through enhanced performance and reliability.
Designed and implemented a toggle-switch feature to dynamically fine-tune data migration parameters, reducing errors in alternative data models by 60% while safeguarding the integrity of the target model.
Developed precise data transformation pipelines using Jolt Transformer, ensuring seamless manipulation of data while mitigating downstream impacts on other entities.
Owned the end-to-end migration process, autonomously troubleshooting complex errors and coordinating efforts across cross-functional teams for timely project delivery.
Built a Python-based automated data validation tool leveraging Boto3, increasing validation efficiency by 50% compared to manual processes.
Oversaw the complete application lifecycle, including deployment, monitoring, and error recovery, leveraging robust CI/CD pipelines to ensure operational excellence.
Acted as on-call support, swiftly diagnosing and resolving production issues to minimize downtime and maintain seamless user experiences.

AWSData MigrationPythonCI/CDCloud-Native DevelopmentSoftware Development

Cognizant

Java Software Developer

Aug 2021 – Apr 2022 · 8 mos · Teaneck, New Jersey, United States · Remote

Developed a real-time claims status tracking feature using Kubernetes and Hadoop for distributed, parallel processing, reducing claims processing time by 40%.
Enhanced claims tracking accuracy from 70% to 90% by implementing Kafka Streams for real-time data processing in an event-driven architecture.
Authored and maintained over 100 pages of comprehensive technical documentation, ensuring clear communication and streamlined knowledge sharing across teams.

KubernetesHadoopKafka StreamsJava Development