With over 20 years of experience, I have seen the industry evolve from monolithic architectures to the current frontier of Agentic AI. My career is defined by a commitment to building robust, production grade systems that don't just process data, they reason, act, and scale.
Experience
2023 — Now
2023 — Now
Spearheading enterprise wide Data & AI platform initiatives to enable scalable, intelligent solutions.
Architecting real time data streaming, IoT pipelines, and cloud-native platforms to achieve operational excellence.
Developing AI driven automation frameworks leveraging agentic AI, RAG, LLMs, and advanced workflows.
Building ML powered SaaS solutions for process optimization and predictive insights.
Leading DevOps strategy, CI/CD automation, and ECS/EKS orchestration for high-velocity delivery.
Implementing observability and reliability frameworks using open-source technologies for end-to-end visibility.
2022 — 2023
Led development of a FinTech SaaS platform on AWS using Java, Spring Boot, MySQL, REST APIs, Docker, Kubernetes, Jenkins, and monitoring tools like New Relic and ELK stack to integrate ERP systems (NetSuite, Sage Intacct, QuickBooks).
Designed and built an Oracle NetSuite SuiteApp to connect with Navan’s fintech platform.
Implemented token-based authentication with OAuth 2.0, Spring Boot, and Zuul Proxy; initiated migration to Auth0 for enhanced security.
Developed comprehensive unit test suites using JUnit, Mockito, and PowerMockito for integration services.
Collaborated with Product Management, Architects, and Operations on strategic planning and design decisions.
Mentored 2–4 developers, conducted peer code reviews, and drove process improvements across teams.
Managed cross functional coordination with backend, frontend, QA, SRE, and ERP integration teams to ensure seamless delivery.
Performed performance and compliance testing for scalability, security, SOC2, and GDPR standards.
Advocated for best practices, roadmap execution, and continuous improvement initiatives.
2016 — 2022
2016 — 2022
Data & AI Platforms: Spearheaded enterprise wide initiatives for real time data streaming, IoT pipelines, and advanced analytics, collaborated with data science teams on NLP, Doc2Vec, LearnToRank, and recommendation systems.
Delivered REST services, streaming modules, and infrastructure components using Java, Python, Scala, JavaScript, and frameworks like Spring Boot, Spark, Kafka, Hadoop; integrated databases including Oracle, MySQL, HBase, MongoDB.
Security & Compliance: Delivered role based security via IDCS and OAuth 2.0, ensured SOC2 and GDPR compliance.
DevOps & Observability: Built robust CI/CD pipelines using Jenkins, Docker, Kubernetes, Helm, Ansible, and cloud-native tools, established observability frameworks with Grafana, Prometheus, ELK stack.
Leadership & Mentorship: Guided global teams (US, UK, Mexico, India) of up to 8 developers; drove process improvements and roadmap execution; strong communicator with stakeholder alignment experience.
Technical Expertise: Hands on coding in Java, Python, Scala, JavaScript, and frameworks like Spring Boot, Spark, Kafka, Hadoop; proficient in databases (Oracle, MySQL, HBase, MongoDB) and UI development with Knockout.js, OracleJET ensuring WCAG accessibility.
Performance & Scalability: Conducted performance testing and JVM tuning; implemented synthetic data generation for AI model training, optimized systems for high availability and operational excellence.
2015 — 2016
2015 — 2016
Leading and managing Engineering, Dev Ops & QA teams
Responsible for SaaS Enterprise Platform Engineering
Primary technology contact for partner engineering channels
SaaS, Big Data, Advanced Analytics, Security & CRM integration
AWS Cloud
Hiring and Mentoring Engineers
2010 — 2015
Enterprise Commerce Applications
Server side frameworks & Web Services
Cache Management
Fraud detection framework
Dev Ops Engineering
ERP & Payment gateway Integration
Third party SaaS integration
Team Management
Education
Osmania University