AI Engineer at Expert System Solutions

Architected and deployed production RAG chatbot with Next.js frontend, Python backend, and Pinecone vector database, serving 1000+ daily queries with 95% accuracy using OpenAI embeddings and n8n workflow automation. Built Meta Ads Advisor chatbot with real-time campaign analytics and optimization suggestions using LangGraph agents, delivering ~30% performance improvements for client ad campaigns. Developed a law assistant chatbot for three jurisdictions with document ingestion pipeline and admin controls for knowledge base management, reducing legal research time by 60%. Engineered real-time computer vision pipelines using YOLOv11 for shuffleboard analytics, aligner defect classification (10+ categories), and drone-based smart city surveillance (parking violations, potholes, infrastructure issues). Designed end-to-end ML pipelines including dataset generation, annotation (Roboflow), preprocessing, model training and evaluation; integrated Llama3 and GPT models into intelligent applicat

Software Engineer at Turing

Analyzed datasets using Python libraries (NumPy, Pandas) to extract insights and automate tasks; contributed to training large language models (LLMs) by curating reasoning data and validating outputs; collaborated on RLHF-based LLM training, evaluation, and alignment; designed evaluation workflows for multi-turn AI systems; curated and annotated large-scale reasoning datasets for supervised fine-tuning and RL pipelines; automated data processing and model assessment using Python and ML frameworks; worked with cross-functional AI teams to improve scalability, robustness, and efficiency of LLM evaluation systems; contributed to model behavior improvements via feedback analysis, error identification, and iterative refinement.