AI/ML Engineer with 5+ years of experience building and deploying production-grade Generative AI, Agentic AI systems, Computer Vision, and NLP solutions. Specialized in designing scalable, reliable architectures that combine advanced AI capabilities with robust backend engineering.
Proven expertise in multi-agent orchestration, retrieval-augmented generation (RAG) pipelines, and cloud-native microservices, delivering enterprise solutions across banking, healthcare, and consumer domains.
Strong experience across the full AI lifecycle: from data pipelines and model development to deployment, monitoring, and inference optimization for real-world performance.
- Agentic AI & multi-agent workflow orchestration
- Production-grade Generative AI systems
- Scalable RAG architectures for enterprise conversational AI
- Computer Vision (medical imaging, explainability-focused models)
- Backend engineering (microservices, APIs, distributed systems)
- Cloud-native AI deployment (AWS/GCP/Azure)
- Inference optimization (low-latency, edge deployment)
Open to collaboration, technical developer/architect roles, and knowledge sharing in AI and backend engineering.