Summary
Vignesh Baskaran is a Senior Technology Associate and GenAI engineer with 9 years of experience building production ML and backend systems, now working on GenAI solutions for Citi. He blends deep NLP and RAG expertise with strong backend engineering—shipping scalable Kafka/Spark pipelines, Django/Mongo analytics processing 30M+ daily events, and low-latency enterprise APIs. His recent projects include fine-tuning quantized LLaMA-3 with LoRA, boosting RAG recall/precision by 20% through custom embedding tuning, and architecting agentic chunking and reranking for customer service assistants. Vignesh also teaches ML/NLP at George Brown College, reflecting a knack for translating research into practical systems. He pairs product-minded feature development (a dashboard that generated tangible revenue and cut escalations) with hands-on model work, making him effective at turning LLM research into operational value.
9 years of coding experience
6 years of employment as a software developer
Postgraduate Degree Artificial Intelligence and Solutions Development, Postgraduate Degree Artificial Intelligence and Solutions Development at George Brown College
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at University College of Engineering, BIT campus
Data scientist certification Data Science, Data scientist certification Data Science at Edwisor