Manish Vemula

I’m a Machine Learning Engineer with hands-on experience designing, deploying, and scaling AI/ML solutions that deliver measurable business impact. My work spans Generative AI, NLP, predictive analytics, anomaly detection, and data engineering, with strong expertise in MLOps and cloud native ML platforms (AWS, GCP, Azure).I thrive at the intersection of technical depth and business value, from building robust ML workflows and deploying production grade models to translating predictions into actionable insights for leadership teams.Highlights of my work include:30% faster ML deployments through optimized end to end workflows.25% cost savings from cloud optimized model deployments.30% higher fraud detection accuracy using VAEs and LSTMs.90% customer churn prediction accuracy, reducing attrition of high-value clients.Enhanced text classification and summarization using Transformers, LLMs, and LangChain.With dual Master’s degrees (MBA + MS in Information Systems) from Central Michigan University, I bring both business acumen and technical expertise, making me equally comfortable coding deep learning pipelines or presenting strategic insights to executives.I’m passionate about Generative AI, LLM applications, MLOps automation, and building scalable data-driven products that push innovation forward