Sujanesh Jasti

I am an AI/ML Engineer with 10+ years of engineering experience building production-ready AI systems, including LLM applications, RAG pipelines, NLP solutions, recommendation engines, and fraud detection models. I combine strong software engineering fundamentals with practical AI deployment, focusing on reliability, low-latency inference, and scalable cloud architecture.

In my current role, I built and deployed an LLM-powered recommendation engine and a fine-tuned chatbot trained on 50K+ support tickets, boosting user engagement by 28% and reducing response time by 35%. I also integrated Vertex AI and Firebase to deliver real-time personalization and A/B testing pipelines that accelerate experimentation by 4×.

Previously at Citi, I worked on ML-driven fraud detection, LLM summarization prototypes, and Python-based ETL workflows using FastAPI, Docker, AWS, and LangChain. My work improved model accuracy by 25% and reduced false positives by 30% across fraud workflows.

Before that, I spent several years at IBM/Kyndryl modernizing enterprise systems, upgrading Angular apps, building cloud microservices, and developing real-time dashboards. This role served as my transition into data- and AI-ready engineering, laying the foundation for my ML career.

I bring a pragmatic, metrics-focused approach to AI development—turning prototypes into production systems, designing scalable pipelines, and delivering measurable business impact for both enterprise and high-growth teams.