Context-aware question-answering system using semantic search pipelines and vector databases.

• Extracted and indexed web data for high-speed semantic retrieval.
• Generated accurate, context-aware answers using LLM pipelines.

Tech Stack: Python LangChain PG Vector DB LLM Semantic Search

Enterprise customer support assistant strictly grounded on verified knowledge bases.

• Scoped answers specifically to user-purchased courses & modules.
• Sub-second similarity search with high-dimensional vector embeddings.

Tech Stack: Python RAG Qdrant Vector DB LLM

Vision AI pipeline for employee and customer segmentation with real-time alerting.

• Achieved 90% segmentation accuracy using YOLO and PyTorch.
• Processed real-time visual feeds to drive actionable business decisions.

Tech Stack: Python OpenCV Computer Vision (YOLO) PyTorch

Automated coin identification and classification based on image features.

• Trained computer vision models to identify coins by visual pattern analysis.
• High precision detection in diverse lighting conditions.

Tech Stack: Python OpenCV Computer Vision (YOLO)

Automated social pipeline transitioning from no-code to code-first LLM orchestration.

• Initially automated with n8n; migrated to LangChain for long-term privacy and stability.
• Automated content scheduling, summarization, and distribution.

Tech Stack: Python LangChain n8n Automation Workflows

High-performance backend API service for social video sharing and streaming.

• Cloud deployment on AWS supporting video uploads and fast short-form streaming.
• Built resilient RESTful APIs with FastAPI and async handlers.

Tech Stack: FastAPI AWS Python REST APIs

Full-fledged enterprise backend system with scalable database architecture and modular REST APIs.

Tech Stack: Django SQL REST APIs Backend Development