Mohd Kashif — AI Researcher

Machine Learning Engineer | Transforming Financial Services Through Production-Ready AI Solutions With 10+ years of hands-on ML engineering excellence across leading financial institutions (DIB, Wells Fargo, Jupiter, UHG), I specialize in building and deploying scalable machine learning systems that drive real business impact in the fintech and open finance ecosystem. Core ML Engineering Expertise: • Production MLOps pipelines with 99.9% uptime and automated monitoring • End-to-end model deployment using Docker, Kubernetes, and AWS infrastructure • Advanced LLMOps implementation for financial NLP applications (BERT, LangChain, RAG) • Real-time ML systems processing 100K+ daily transactions Technical Stack: ML Frameworks: TensorFlow, PyTorch, Scikit-learn, H2O MLOps Tools: MLflow, Kubeflow, Docker, Kubernetes, Jenkins Cloud Platforms: AWS (ML Specialty Certified), GCP, Databricks Programming Languages: Python, SAS Big Data/Databases: Teradata, SQL server, MySQL, Hadoop, RDBMS, MS SQL Models/Algorithms: Regression, Clustering, Classification, XGBoost, GBM, Random Forests, CNN, UNet, DeepLab, YOLO, BERT, LangChain, RAG Recent Achievements: • Led ML engineering transformation at Wells Fargo, reducing model deployment time by 70% • Architected scalable propensity models serving millions of banking customers • Built automated ML pipelines that generated $10M+ in measurable business value • Mentored 15+ junior ML engineers and data scientists across multiple countries Currently seeking ML Engineering roles in banking/fintech where I can leverage my unique combination of production ML expertise, financial domain knowledge, and executive-level communication skills. #MachineLearning #MLOps #FinTech #ProductionAI

Stackforce AI infers this person is a Fintech Machine Learning Engineer with extensive experience in MLOps and AI solutions.

Location: Dubai, United Arab Emirates

Experience: 7 yrs 11 mos