- Engineered a high-accuracy Retrieval-Augmented Generation (RAG) pipeline using LangGraph and Cloudflare Vectorize, enabling semantic search across large-scale financial datasets.
- Optimized document retrieval relevance by 25% through advanced query orchestration and vector search tuning.
- Developed a distributed background processing system using RabbitMQ and Celery, managing a pipeline that delivers 2,000+ real-time alerts daily via WhatsApp and Email.
- Architected AI-driven backend features and RESTful APIs to support core product functionality.
Work
- Jul2025 - PresentPrysm FinanceBackend Developer
- Sep2023 - Nov2023Neolen IT ServicesSoftware Developer Intern
- Automated 80% of customer support workflows by integrating LangChain and OpenAI Function Calling into the existing ticketing system.
- Reduced manual research time by 80% for Ideal Customer Profile (ICP) creation by building automated AI marketing agents.
- Collaborated with the product team to deploy AI-assisted workflows, improving internal operational efficiency.