- Agentic Workflows & RAG: Building stateful intelligence engines (like Expense AI) using LangGraph and ChromaDB for long-horizon memory retrieval and preventing LLM hallucinations.
- ML & Vision Pipelines: Deploying real-time MTCNN/InceptionResnetV1 systems and building custom DAPT/TAPT fine-tuning pipelines for BERT/DeBERTa on noisy datasets.
- Full-Stack AI Architecture: Bridging the gap between ML models and user interfaces by serving highly optimized FastAPI microservices into scalable Next.js and React applications.
- Advanced Data Modeling: Structuring complex relationships using relational (PostgreSQL), document (MongoDB), and graph databases (Neo4j).
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