Maithil Tandel

Background

About Maithil Tandel

If there’s a complex problem, messy data, and a real business constraint, that’s exactly where I do my best work. I turn complex data into scalable AI solutions that deliver measurable business results.My mission is to transform complex data into intelligent, production-ready AI solutions that move businesses forward.What drives me is closing the gap between research innovation and practical deployment — designing ML systems that are not only accurate, but reliable, scalable, and valuable in the hands of real users.Key ExperiencesMotorsport AI | EXCELR8 MotorsportBuilt transformer-based models predicting optimal lap times with 95%+ accuracy, enabling real-time race strategy decisions.Designed autoencoders that compressed telemetry storage by 70% across laps, and extracted latent performance boundaries that directly influenced vehicle setup and race outcomes. Manufacturing AI | KennametalDeveloped production-grade computer vision systems achieving 93% accuracy across 50+ component types, reducing manual inspection time by 40% and cutting manufacturing waste by 25% while processing inspections daily.Built end-to-end ML pipelines that reduced deployment cycles from weeks to days. FinTech AI | ResoluteAIDeployed unsupervised anomaly detection pipelines processing 500K+ transactions/day, reducing financial crime incidents by 20%.Improved model accuracy by 20%, reduced false positives by 15%, and delivered 1M+ monthly predictions on scalable AWS infrastructure with CI/CD and serverless deployment. Core Competencies DemonstratedMachine Learning & AI: Deep Learning, Transformers, LLMs, Computer Vision, NLP, Anomaly Detection, Autoencoders, Predictive ModelingEngineering & MLOps: Production ML Systems, AWS (SageMaker, Lambda), CI/CD, Docker, Model Monitoring, Data PipelinesProgramming & Analytics: Python, TensorFlow, PyTorch, Scikit-Learn, SQL, Feature Engineering, Statistical ValidationImpact at Scale: 15+ ML models deployed across AWS, GCP & Azure Double-digit performance gains in fraud detection & manufacturing quality Published research on transformer-based motorsport optimization I’m now seeking Machine Learning Engineer or Data Scientist roles where deep learning, LLMs, computer vision, NLP, and production-grade ML systems are central and where ambitious problems demand equally ambitious engineering.Because the best models aren’t the ones with the highest accuracy on paper they’re the ones that make it to production and deliver real value.