π€ AI/ML Engineer | π Generative AI Developer | βοΈ AWS & Agentic AI
π Portfolio β’ π LinkedIn β’ π¬ Open to AI/ML & Generative AI Opportunities
π Pursuing M.Sc Artificial Intelligence and Machine Learning (Integrated)
π« Coimbatore Institute of Technology, Coimbatore
π€ Passionate about building:
- Generative AI Applications
- RAG Systems
- AI Agents
- Voice AI Systems
- Intelligent Automation Workflows
βοΈ Working with:
- AWS Bedrock
- AWS Lambda
- FastAPI
- LangChain
- Docker
- Strands SDK
π§ Currently exploring:
- Agentic AI Architectures
- Multimodal RAG
- AI Memory Systems
- Voice-to-Voice AI
- AI Evaluation Frameworks
- Designed and deployed Agentic AI applications using Strands-based AI Agent Runtime
- Built AI systems using AWS Lambda, Amazon S3, PGVector, and Amazon Bedrock
- Developed enterprise-grade RAG pipelines and AI workflow orchestration systems
- Worked on:
- Agent collaboration
- Memory management
- Tool-based reasoning
- Intelligent automation workflows
- Built a multimodal Retrieval-Augmented Generation system
- Enabled conversational search across:
- PDFs
- Images
- Audio
- Video
- Used:
- LangChain
- ChromaDB
- Amazon Bedrock
- PyMuPDF
- Implemented hybrid retrieval and semantic search pipelines
- AI-powered subscription management assistant
- Built using:
- Strands SDK
- FastAPI
- Streamlit
- Redis
- Features:
- Automated expense tracking
- Financial reminders
- Natural language summaries
- Memory-enabled AI workflows
- Real-time voice-to-voice AI assistant
- Integrated:
- Speech-to-Text
- Text-to-Speech
- Redis memory
- WebSockets
- Used:
- Sarvam AI
- π Build scalable production-grade AI systems
- π§ Advance in Agentic AI & Multimodal RAG
- βοΈ Deepen expertise in AWS AI infrastructure
- βοΈ Share technical learnings and AI projects
- π€ Contribute to impactful AI products
π Portfolio β’ π LinkedIn



