AI/ML SME Architect at Mphasis with 19+ years of experience building and scaling enterprise-grade systems across banking, retail, and education domains.
My core strength is bridgi... Show moreAI/ML SME Architect at Mphasis with 19+ years of experience building and scaling enterprise-grade systems across banking, retail, and education domains.
My core strength is bridging enterprise architecture with hands-on AI/ML engineering—turning models into production-ready, resilient, and scalable platforms. I design systems that survive real-world constraints: security, compliance, latency, cost, and scale.
What I do best:
• Architect and deliver AI/ML platforms, pipelines, and MLOps frameworks (Python, TensorFlow, PyTorch, distributed training, model deployment).
• Lead cloud-native modernization and migrations on AWS & Azure (Kubernetes, Docker, Spring Boot, Kafka, microservices, REST).
• Design high-availability, fault-tolerant, and secure architectures using proven enterprise and cloud design patterns.
• Translate business problems into AI-driven solutions with measurable outcomes.
• Mentor and coach engineering teams to deliver sustainably at scale.
Credentials & focus:
• AWS Certified Solutions Architect – Professional
• TOGAF® Certified Enterprise Architect
• Currently pursuing a Master’s in Artificial Intelligence, with focus on:
• Deep Learning
• NLP
• Reinforcement Learning
• Distributed & scalable ML systems
I operate at the intersection of AI, cloud, and enterprise architecture—where ideas meet production. I’m driven by building next-generation intelligent systems that are not just innovative, but deployable, governable, and impactful. Show less