Welcome to my GitHub profile! I’m a passionate and experienced Generative AI Solutions Architect with a strong background in multi-agent architectures, natural language processing (NLP), and applied AI engineering. I specialize in designing scalable, production-ready AI systems that integrate cutting-edge models, robust software architecture, and seamless MLOps practices.
- Architecting multi-agent systems leveraging frameworks like LangGraph, Model Context Protocols, and LLM-based orchestration tools
- Experience with prompt engineering, retrieval-augmented generation (RAG), and embedding-based pipelines
- Proficient in using state-of-the-art LLMs (OpenAI GPT series, Claude, Mistral, etc.) in enterprise applications
- End-to-end chatbot development using Rasa Framework
- Custom NLU/NLG modules, knowledge grounding, context-aware dialogue flows
- Integration with business APIs, CRMs, and live support systems
- Design and deployment of goal-oriented and tool-using agent frameworks
- Memory and context handling, task decomposition, inter-agent communication
- Autonomous reasoning, dynamic routing, and persona-based agents
- Object detection, classification, and tracking using YOLOv5
- OCR pipelines, visual QA, document intelligence
- Integrated CV + NLP solutions for complex multimodal use cases
- MLOps pipeline design: model training, CI/CD for ML, model versioning and deployment
- Cloud-native architectures on AWS, Azure; Docker, Kubernetes
- AIOps integration for automated monitoring and reliability
- Currently working at a US-based multinational as a core member of the AI Solutions & Innovation Group
- Designed and delivered AI systems across multiple domains: audit, finance, telecom, and healthcare
- Skilled in cross-functional team leadership, PoC-to-production transitions, and stakeholder engagement
Languages: Python, SQL, TypeScript Frameworks: LangGraph, Rasa, FastAPI, Streamlit, Flask Libraries: OpenAI, LangChain, Pydantic, YOLO DevOps: Docker, Azure DevOps, GitLab, Jenkins, Helm Cloud: AWS, Azure, GCP Databases: PostgreSQL, MongoDB, VectorDB's Tools: VSCode, Postman, Jupyter
- 📈 System Design: Scalable, modular architectures for real-world AI systems
- 🚀 Rapid Learning: Fast adaptation to new tech, frameworks, and research
- 🧩 Solutioning: Bridging business goals with cutting-edge ML/AI technologies
- 🤝 Team Collaboration: Strong communication and mentoring abilities
⚙️ “I don't just build models—I architect ecosystems where AI thrives and delivers value.”