I’m Jayesh Locharla, an AI/ML Engineer with around 4 years of experience delivering enterprise-grade AI solutions across finance, retail, and healthcare. I build practical systems using Python, TensorFlow, PyTorch, XGBoost, and state-of-the-art NLP and generative AI tools to extract actionable insights and automate complex workflows. I thrive in cross-functional teams and enjoy turning data into tangible business impact through scalable ML pipelines, semantic search, and robust deployment practices. I’ve delivered measurable outcomes such as reducing analyst turnaround from multi-day to same-day delivery and achieving significant cost savings through prompt engineering, model fine-tuning, and production-ready deployments on AWS with MLflow, Docker, and Kubernetes. My hands-on experience spans LLMs (GPT-family, LLaMA, BERT), RAG pipelines, and end-to-end ML lifecycle management, from research to production monitoring.…I’m Jayesh Locharla, an AI/ML Engineer with around 4 years of experience delivering enterprise-grade AI solutions across finance, retail, and healthcare. I build practical systems using Python, TensorFlow, PyTorch, XGBoost, and state-of-the-art NLP and generative AI tools to extract actionable insights and automate complex workflows. I thrive in cross-functional teams and enjoy turning data into tangible business impact through scalable ML pipelines, semantic search, and robust deployment practices. I’ve delivered measurable outcomes such as reducing analyst turnaround from multi-day to same-day delivery and achieving significant cost savings through prompt engineering, model fine-tuning, and production-ready deployments on AWS with MLflow, Docker, and Kubernetes. My hands-on experience spans LLMs (GPT-family, LLaMA, BERT), RAG pipelines, and end-to-end ML lifecycle management, from research to production monitoring.WWWW…