Prity B.
Platform Engineer @bp
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WORK HISTORY
Platform Engineer @bp
EDUCATION
Nagpur University
Master of Computer Applications (MCA), Computer Science
Pt. Bachharaj Vyas Vidyalaya
High School Diploma, Secondary Education and Teaching
ABOUT PRITY B.
I don’t just build AI models; I build the systems that allow AI to survive and thrive in production.With over 12 years of experience as a software engineer and cloud architect, I’ve realized that the hardest part of AI isn\'t the model itself—it’s the \"plumbing.\" I specialize in the full delivery lifecycle: designing, training, and deploying scalable AI systems that solve real-world problems in high-stakes industries like Banking, Healthcare, and Oil & Gas.My journey has taken me across India, Germany, and France, helping organizations move beyond experimental notebooks to enterprise-grade AI. Whether it’s architecting fraud detection models that process high-volume data in real-time or building award-winning MLOps frameworks for global giants like British Petroleum, my focus remains the same: Reliability, Security, and Scale.What I bring to the table:The AI Architect: Expert in model design and training, with a focus on real-world inference. I understand the math behind the models and the infrastructure required to run them.The MLOps Specialist: I bridge the gap between Data Science and DevOps. I build automated pipelines for retraining, versioning, and monitoring, ensuring models stay accurate and secure long after deployment.The Cloud Powerhouse: As an AWS Certified Solutions Architect Professional and Azure Administrator, I design infrastructure using Terraform, Kubernetes (AKS/EKS), and Databricks.The Security Mindset: With a background in IAM (SailPoint, OAuth 2.0), I ensure that AI deployments aren\'t just fast, but are compliant and architecturally sound.I am passionate about the intersection of AI and Platform Engineering. I believe a great AI Engineer is 50% Mathematician and 50% Systems Plumber—someone who can write the code, secure the data, and build the pipe it flows through.Core Technical Stack:· AI/ML: Model Design, MLOps, LLMs, RAG, PySpark.· Cloud: AWS (SAP level), Azure, Azure Machine Learning (AML).· DevOps: Kubernetes, Docker, Terraform, CI/CD, GitHub Actions.· Security: IAM, CyberArk, Data Governance.I’m currently open to Senior AI Engineer, Cloud Architect, or MLOps Lead roles globally. If you’re looking for someone to lead a cross-functional team or architect a production-ready AI platform, let’s connect. p••••••••@hotmail.com
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