About Me
AI Engineer specializing in Agentic AI, RAG systems, LLMs, and cloud-native deployments. Proven track record in building enterprise-scale intelligent systems — including an Agentic AI conversational platform for Canadian…
AI Engineer specializing in Agentic AI, RAG systems, LLMs, and cloud-native deployments. Proven track record in building enterprise-scale intelligent systems — including an Agentic AI conversational platform for Canadian real estate (30% latency reduction, 15% productivity boost), a RAG system (40% faster retrieval), and Gen AI Image Generation model. Passionate about driving real-world business impact through LLM orchestration, intelligent automation, and scalable AI solutions.
Experience
AI Engineer
Designed and developed an enterprise-grade Agentic AI conversational platform using LangGraph, enabling real-time, multi-turn interactions for nationwide property search, lead engagement, and customer assistance across Canada. Architected persistent conversational memory using MySQL, managing chat history, session states, user intents, and tool execution logs to support analytics, auditing, and CRM synchronization. Built tool-augmented AI agents for email automation, appointment scheduling, notifications, property search, and web search integrated with an enterprise CRM to streamline lead management and boost agent productivity. Built asynchronous AI workflows using FastAPI and Python to handle concurrent user requests with low latency.
AI Developer
Deployed an opensource LLM for high-quality image and text generation using an on-premises inference pipeline, reducing inference costs. Built a FastAPI backend for end-to-end request handling, real-time external API integration, LLM-powered content generation, and prompt-based template editing. Optimized the inference architecture to reduce latency and improve the speed of image, html, and text generation. Engineered a dynamic template rendering system for production-ready content delivery using prompt engineering.
AI Developer
Developed a web scraping pipeline using Python and BeautifulSoup to extract and preprocess data from multiple websites for building a searchable knowledge base. Designed a document ingestion pipeline with content cleaning, intelligent chunking, and semantic embeddings, storing vectors in Pinecone for efficient similarity search. Optimized AI inference pipeline for low-latency image, HTML, and text generation across multiple services. Engineered prompt-driven template generation and rendering pipeline for dynamic, production-ready content delivery.