Oct 2024 – Nov 2025 · 1 yr 1 mo · Atlanta, Georgia, United States · Hybrid

• Led a cross-functional technical team to design, develop, and deploy a hybrid cloud-edge retail self-checkout system, setting coding standards, architectural guidelines, and best practices for high-quality deliverables. Delivered milestones 15% ahead of schedule with 95%+ automated test coverage. Mentored engineers on advanced cloud-native technologies, Kubernetes, and edge computing, boosting team velocity by 25% and reducing onboarding time by 30%.
• Engineered hybrid cloud-edge architecture leveraging Google Kubernetes Engine, Google Cloud Platform services, MQTT Broker, and Redis to ensure scalable, resilient retail services with 99.9% uptime and 30% lower transaction latency. Developed Intelligent Edge Server components with real-time business logic using MQTT and Redis, reducing average transaction time from 4.5 to 2.8 minutes, increasing checkout throughput by 38%.
• Architected Backend-for-Frontend services with Go/gRPC and REST APIs tailored to SCO UI, raising adoption from 35% to 65% in six months via optimized workflows. Unified secure cloud-edge data synchronization and IAM, maintaining sub-0.5% security incidents. Established centralized logging and monitoring integrating edge observability with cloud analytics, accelerating incident detection by 20%.
• Managed deployment and update lifecycle of edge and terminal software using Kubernetes-based Edge Control Plane and CI/CD pipelines, reducing deployment time by 40% with zero downtime updates. Facilitated secure device communication between business logic and SCO lane hardware, achieving 99.5% device uptime and reducing errors by 15%. Led quarterly production releases, cutting deployment failures by 60% via automated CI/CD and service integration testing.
• This experience reflects leadership in hybrid cloud-edge architectures for retail, cloud-native orchestration, real-time edge computing, secure data synchronization, and robust CI/CD, driving innovation and operational excellence in retail self-checkout.

Oct 2023 – Sep 2024 · 11 mos · Cleveland, Ohio, United States · Hybrid

• Founded two patent-pending software frameworks for hospitality and retail, securing intellectual property rights that drive innovation and competitive advantage. Instituted high-performance data pipelines using Apache Kafka and gRPC, boosting processing efficiency by 40% and reducing latency by 200 milliseconds, measured via Kafka throughput and gRPC latency metrics.
• Launched serverless architectures with AWS Lambda and Google Cloud Functions, achieving scalable, cost-efficient solutions with automatic scaling and a 30% reduction in operational expenses. Implemented secure Change Data Capture (CDC) systems on both on-premises and AWS environments, enabling real-time data replication from legacy databases to cloud platforms, enhancing data freshness and reliability.
• Expanded Infrastructure as Code practices using Terraform to automate cloud resource provisioning and management, cutting deployment times by 50% and improving infrastructure consistency and reliability. This experience highlights expertise in scalable data pipelines, cloud-native serverless computing, secure data replication, and automated infrastructure management for cloud environments.

Jan 2022 – Sep 2023 · 1 yr 8 mos · Hybrid

• Pioneered fraud detection models using Amazon Neptune and Golang, achieving a 30% improvement in fraud detection accuracy by leveraging graph analytics to uncover complex fraud patterns. Utilizing Amazon Neptune Analytics, the solution combined graph machine learning with interactive graph queries to reveal hidden connections and coordinated fraud behaviors, enabling richer relationship insights and real-time alerts. This reduced fraud investigation time by 25% by focusing analyst efforts on the riskiest entities and communities in the data.
• Designed and implemented an end-to-end secure data pipeline encompassing hardware processing unit (HPU) tool data extraction, on-premises encryption with SAFENET, and automated upload to AWS with Lambda triggers, ensuring robust data protection throughout the workflow. Developed a Change Data Capture (CDC) system integrating Qlik Sense tasks with on-premises and AWS Kafka clusters, delivering a 70% reduction in data processing runtime and supporting near real-time replication.
• This experience demonstrates expertise in cutting-edge fraud detection technologies, secure cloud data pipelines, and high-performance CDC implementations to improve data timeliness, security, and analytical effectiveness in complex environments.

Aug 2020 – Jan 2022 · 1 yr 5 mos · Hybrid

• Led migration from legacy Java transaction log system to Golang microservices, resulting in a 40% throughput improvement and 30% reduction in infrastructure costs through efficient AWS resource utilization. Migrated mainframe monolithic credit reporting to Golang microservices, cutting query latency by 50% and scaling system capacity for double the monthly report generation.
• Ensured strict security compliance using AWS IAM, Secret Manager, VPC, KMS, and encrypted sensitive PII data. Established comprehensive monitoring and observability with Splunk, Prometheus, Grafana, Datadog, and CloudWatch dashboards. Operated a multi-account AWS environment serving 10 million consumers with 99.95% uptime, reducing security incidents by 60% via robust encryption and best practices.
• This experience highlights expertise in leveraging Golang’s performance and resource efficiency for scalable cloud microservices, optimizing costs, enforcing security compliance, and implementing enterprise-grade monitoring in large-scale cloud environments.

Nov 2019 – Jul 2020 · 8 mos · Hyderabad, Telangana, India · On-site

• Designed, implemented, and maintained secure RESTful API endpoints using Golang and the Beego framework for MarketIQ, delivering real-time property analytics to over 5,000 agents with consistent sub-250ms response times. Developed geospatial APIs integrating Google Maps Platform to fetch precise property details by latitude and longitude, improving search accuracy by 35% and enhancing user experience.
• Built GraphQL congestion and ingestion APIs in Golang for efficient property data operations, enabling seamless indexing in Elasticsearch and dynamic data analytics. Orchestrated dual persistence with immediate writes to PostgreSQL and Elasticsearch, reducing average query response times by 40% while supporting advanced search features. Led integration of API authentication and role-based access control using Beego’s middleware, cutting unauthorized access incidents by 30%.
• Managed cross-region release workflows through GitHub Actions and Jenkins CI/CD pipelines, ensuring zero-downtime deployments and 100% punctual global release delivery. Implemented monitoring dashboards with Prometheus and Grafana, lowering production errors and improving transparency. Facilitated Agile ceremonies as Scrum Master, boosting sprint completion rates from 78% to 96%, and collaborated with distributed teams to reduce miscommunication defects by 35%.
• This experience highlights strong expertise in scalable backend API development with Golang and Beego, secure access management, data indexing and analytics, automated deployment pipelines, and Agile leadership in distributed team environments.

Oct 2017 – Nov 2019 · 2 yrs 1 mo · Hyderabad, Telangana, India · On-site

• Constructed the core C++ SDK for Self-Service CheckOut (SSCO) supporting XML-based messaging with POS systems, adhering to established standards such as ISO 20022 and POSXML for structured, validated communication. This SDK reduced average customer transaction time by 20% by enabling rapid, reliable data exchanges at checkout. Delivered a robust Self-Service Terminal (SST) application featuring AES-256 encrypted communication, effectively lowering security incidents by 50% and ensuring compliance with payment security standards like PCI-DSS.
• Developed extensible applications compatible with Diebold, Wincor Nixdorf, and NCR platforms, ensuring seamless operations across diverse hardware and reducing field deployment time by 30%. These solutions leveraged secure, standardized XML message formats and encryption protocols to offer interoperability and resilience in high-throughput retail environments.
• This experience reflects strong expertise in C++ SDK development, secure POS communication protocols, multi-vendor hardware integration, and adherence to industry XML messaging standards for retail transaction systems.

Sep 2016 – Oct 2017 · 1 yr 1 mo · Hyderabad, Telangana, India · On-site

• Fabricated the cross-platform Extended Platform Device Manager (XPDM) service in C++, enhancing device handshake protocols, which simplified device-related failures by 25% across Self-Service CheckOut (SSCO) and Self-Service Terminal (SST) deployments. Integrated extended device detection plugins into SST systems, expanding supported devices and peripherals, reducing unsupported device incidents by 35%.
• Enabled seamless multi-payment method integration and improved transaction throughput by delivering adaptive transaction flows compatible with all major retail endpoints. Conducted rigorous code reviews using Atlassian Crucible and maintained meticulous development documentation in Confluence, reducing post-release defects by 22%.
• This experience demonstrates strong capability in C++ service architecture for device management, plugin integration for extended hardware support, multi-payment processing optimization, and disciplined code quality and documentation practices in large retail technology deployments.

Apr 2015 – Aug 2016 · 1 yr 4 mos · Hyderabad, Telangana, India · On-site

• Led the development of the , enabling cross-platform IoT device discovery and data streaming.
• Pioneered the KPI-Automatic Testing System, automating performance evaluation for devices under test (DUTs) and reducing manual testing effort by 60%. Established benchmark standards enabling consistent comparison of over 100 device models annually, increasing testing efficiency and coverage. Composed comprehensive automated Python test scripts for firmware and SDK validation, improving reliability metrics by 40% in CI/CD pipelines.
• Designed and implemented peer-to-peer communication protocols for AllJoyn Framework in C++ for direct device-to-device data transfer, adopted by more than 100 IoT device types across 50 global manufacturers. Built cross-platform C++ SDKs abstracting P2P protocols with RESTful APIs, reducing partner integration time for smart home devices by 60%. Developed embedded Linux drivers for wireless protocols including Wi-Fi, Bluetooth, and Zigbee, cutting hardware compatibility issues by 45%.
• Led codebase optimization efforts reducing test execution time by 35%, and collaborated closely with business users and product owners to resolve testing issues swiftly, accelerating certification timelines by 25%. This experience reflects strong expertise in IoT device test automation, protocol design, cross-platform SDK development, wireless driver programming, and stakeholder collaboration for product quality and speed.

Aug 2013 – Apr 2015 · 1 yr 8 mos · Hyderabad, Telangana, India · On-site

• Automated modem KPI validation processes, reducing device validation cycles and enhancing team productivity.
• Implemented robust security measures, ensuring the integrity of communication protocols and data.

Dec 2011 – Feb 2012 · 2 mos