

Machine Learning Engineer with 10+ years of experience (transitioned from Staff Software Engineer) specializing in AI/ML systems, Generative AI, and scalable backend platforms. Expertise in Python-based model development, NLP, LLMs, and real-time inference systems, combined with strong experience in Golang microservices and cloud-native architectures on AWS.
Proven track record of delivering AI-driven production systems in healthcare, fintech, and telecom, enabling intelligent automation, decision systems, and high-performance ML pipelines. Strong ability to bridge data science and engineering to deploy scalable, reliable AI solutions.
Award
AI Projects
AI Interview Assistant & AI-driven Telecom Platform (Circles)
AI-driven Medical Imaging Platform (CT/MRI Optimization)
Intelligent Payments Platform & AI Analytics
Enterprise Systems & AI Adoption
AI/ML & Generative AI
Programming & Backend
Data Engineering & Processing
Cloud, MLOps & Deployment
Observability & Performance
Security & Fintech Systems
Leadership & Management
AI-Powered Interview Assistant (GenAI)
• Contributed to AI-driven QA and intelligent test automation platforms using Generative AI and LLM-assisted workflows.
• Worked on scalable backend systems for AI-powered test generation, workflow orchestration, observability, and QA lifecycle optimization.
• Gained exposure to Agentic AI, MCP (Model Context Protocol), LangChain, Cursor, Claude, and AI-assisted developer productivity ecosystems.
• Built cloud-native backend services using Golang, Kubernetes, AWS, Kafka, Redis, and PostgreSQL for scalable enterprise QA solutions.
Medical Imaging AI Platform (CT/MRI Optimization)
• Developed AI-assisted clinical decision support systems recommending optimal CT/MRI configurations using patient data and ML workflows.
• Built scalable Golang backend APIs integrating AI inference workflows and predictive healthcare models into clinical applications.
• Improved workflow efficiency through distributed backend architecture, performance optimization, and cloud-native platform engineering.
• Collaborated on AI model integration, validation, deployment, and observability for healthcare imaging platforms.