P. VIJAYAKUMAR

• Results-driven Principal Solution Architect and former Product Engineering Manager with 17+ years of experience in designing and delivering scalable, secure, and resilient SaaS solutionsacross multiple industries.
• Skilled in AI/ML, Generative & Agentic AI, and AI-native architectures, delivering cutting-edge intelligent solutions.
• Hands-on expertise with LLMs: ChatGPT (GPT-4o/4/3.5), Gemini, Claude, LLaMA, Mistral, Ollama, Stable Diffusion.
• Strong background in cloud-native platforms: AWS, GCP, Azure; and modern ML frameworks: PyTorch, TensorFlow, Hugging Face.
• Proven ability to translate business requirementsinto production-ready AI solutions, ensuring scalability, security, and resilience.
• Expertise in multi-agent orchestration, RAG pipelines, CI/CD automation, Kubernetes, and MLOps for enterprise-grade deployments.
• Passionate about driving innovation, technical excellence, and full product lifecycle delivery — from ideation to production rollout.

• Led the design and implementation of a highly scalable, resilient AI-native SaaS platform, integrating Generative AI & Agentic AI components, achieving a 60% increase in customer satisfaction and a 50% reduction in operational costs.
• Collaborated with product management and engineering teams to define AI-driven technical requirements, ensuring alignment with business objectives and long-term innovation strategy.
• Developed and executed cloud migration & modernization strategies, including AI-assisted optimization pipelines, improving system performance and reducing infrastructure costs.
• Implemented DevOps & MLOps practices with CI/CD pipelines, automated model deployment, and monitoring for reliable AI/ML workflows and faster delivery cycles.
• Provided AI/ML technical leadership and mentoring to a team of 20+ engineers, fostering innovation in RAG pipelines, LLM integration, and multi-agent orchestration.
• Managed project deliverables across AI/ML initiatives in alignment with project plans, ensuring on-time delivery and measurable business impact.
• Oversaw project scope and AI solution governance, implementing guardrails, monitoring, and compliance to minimize risks in production deployments.
• Conducted requirement analysis sessions with BAs and Product Owners to define AI/ML-enabled use cases and provide scalable technical solutions.
• Partnered with stakeholders to ensure AI-driven projects meet business needs and deliver tangible outcomes, from AI copilots to automation frameworks.
• Reviewed AI/ML project activities to ensure compliance with industry standards, ethical AI guidelines, and enterprise policies.
• Managed data security, model governance, and licensing controls to maintain regulatory complianceacross AI platforms.
• Facilitated user documentation, AI model testing, and validation activities to ensure production-ready quality and robustness of deployed solutions.
• Led process implementation & control, providing support for ISO 9001-QMS, ISMS 27001, and emerging AI governance frameworks, including auditing and compliance activities.

Components & Framework Development

• Broadcast Engine for Gaming – Async real-time communication platform
• Workflow traversal engine for complex path processing
• Licensing control & subscription management frameworks
• RMI with internal buffering and caching
• EKS deployment automationfor dynamic engine orchestration
• Web client-server async communication layer
• Automation framework for Web, Mobile, Terminal, Desktop & API
• IoT middleware communication framework
• AI-based solutions: Chatbots, RPA, UI automation, fraud detection

Projects worked

• GE Vernova – DG Edge App (Dec 2024 – Present)
  AI-driven SIEM platform for power plants; Python/FastAPI, WebSocket, QuestDB(time series), NATS; real-time monitoring & anomaly detection.
• TRC – Capture Plus (Nov 2023 – Dec 2024)
  Multi-tenant energy efficiency workflow platform with CRM integration, advanced analytics, and scalable cloud-native architecture.
• RummyVerse (Dec 2022 – Oct 2023)
  End-to-end microservices-based gaming platform with real-time play, Kafka/Redis backend, Unity front-end, and scalable infra.
• Open Innovation Platform (IMDA – Singapore Govt) (Jan 2021 – Dec 2022)
  Crowdsourcing marketplace connecting problem owners to solvers; cloud-native (AWS), microservices, React + Strapi CMS.
• Quantify SaaS Platform (Jan 2020 – Dec 2022)
  High-performance testing & monitoring platform (1M TPS) with AI-driven performance insights, microservices, and AWS cloud stack.
• Quantum – Automation Platform (V2–V5) (May 2015 – Dec 2020)
  No-code test automation platform generating scripts from BPMN flows; supports functional, regression, RPA & continuous testing.
• CIS API – ANZ Bank, Singapore (Jun 2016 – Dec 2016)
  Enterprise API automation & continuous testing framework for secure middleware; REST, SOAP, MQ, SWIFT integration.
• Bank Operations Automation (ANZ) (Jan 2017 – Dec 2019)
  Automation tools for regulatory reporting & statement generation; reduced manual workload, ensured compliance & efficiency.
• RoboWiz – Robotic Workflow Automation (May 2013 – Apr 2015)
  Industrial no-code robotics workflow platform with drag-drop interface, IoT (Arduino, Raspberry Pi), and sensor integrations.
• Healthcare ERP (Sep 2008 – Apr 2013)
  Hospital management system covering patient info, diagnosis, billing, pharmacy, labs; web-based, modular ERP design.
• Textile Designing & Punching Machine Automation (Sep 2008 – Apr 2013)
  IoT-enabled CAD/CAM automation tool with image processing, Embedded C, and mechanical control integration.

I hereby declare that the information furnished above is true to the best of my knowledge and belief. 

Date: 

Place: Chennai 

P.VIJAYAKUMAR