Crafting intelligent systems at the intersection of Agentic AI, Context Engineering, and scalable ML infrastructure.
I design AI that plans, retrieves, adapts, and acts with real autonomy.
- 🧠 Agentic AI — tool-use graphs, planning loops, autonomous workflows
- 🧩 Context Engineering — retrieval orchestration, memory layers, long-context optimization
- 🎥 Multimodal Intelligence — vision–language models, audio/text fusion, streaming inference
- 🚀 AI Core Tech — transformers, embeddings, RL, diffusion models
- 🖥️ Infra & Systems — distributed training, GPU orchestration, scalable model serving
- 🗂️ Retrieval Systems — vector search, hybrid retrieval, semantic indexing, graph-enhanced RAG
- High-throughput inference pipelines
- Intelligent, tool-using AI agents
- Retrieval systems with adaptive context routing
- Cloud-native ML platforms (AWS · GCP · Azure)
- Real-time AI applications using Kafka + Spark
Agentic AI · Context Engineering · Multimodal Models · RAG Systems · Distributed Training · Vector Databases · MLOps Architecture