Headline

Senior AI Engineer @ Allstate | Driving AI-Powered Transformation & Innovation | $2M+ Savings Delivered| M.S. LJMU

About

Senior AI/ML Engineer delivering production-grade compliance & risk systems at Allstate. Led AI strategy for claims surveillance, deploying multi-agent LLM solutions (Azure Semantic Kernel, GPT-4o) handling 50K+ queries/mo—drove $2M+ annual savings via 25% faster resolutions & 15% fraud detection. Expertise: Python (TDD), PyTorch/TensorFlow, MLOps (MLflow/AKS), computer vision (YOLOv8), anomaly detection (Isolation Forest/XGBoost), Databricks/Spark. Champion responsible AI with full explainability for regulatory audits. Open to Senior AI Engineer roles . 7 yrs enterprise AI/ML | MSc Data Science LJMU |github.com/rushabh5897

Location

Pune

AI stack

opencode

claudecode

Work experience

Senior AI Consultant at Allstate, Aug 2024 - Present · 2 yrs 1 mo, Pune City, • Led AI strategy to develop and implement Agentic AI workflows using Semantic Kernel and Google Vertex AI, orchestrating multi-agent pilots that handled 50K queries/mo and cut resolution time by 25% • Designed and Architected the organization wide Agent-to-Agent(A2A) communication protocol MCP server, enabling autonomous and scalable AI agents to collaborate, share state and delegate tasks across disparate business units • Spearheaded the implementation of Dynamic Client Registration (DCR) auth to provide unique, verifiable identities for AI agents, ensuring secure A2A authentication and zero-trust access control. • Architected and fine-tuned Generative AI solutions—including Gemini-based conversational architectures—establishing enterprise-wide security protocols for REST APIs and automating 70% of high-volume support traffic resulting in a direct $50k/year cost avoidance • Defined the production lifecycle for Agentic systems, mentoring a team of engineers and conducting 20+ automated evaluation experiments to optimize agent reasoning.

Senior Software Engineer at edgetensor, Oct 2023 - Aug 2024 · 11 mos, Hybrid, • Built vision-based fleet surveillance (YOLOv8 + LSTM, TensorFlow Lite/Databricks): 100+ cams, <50ms latency, reduced incidents 40% (50→30/wk) for regulatory compliance • Architected 5 FastAPI microservices (K8s, 1K req/sec): Real-time anomaly dashboard for 500 drivers, 99.9% uptime via Azure DevOps CI/CD • End-to-end MLOps (Spark→MLflow→AKS): 1TB telematics data, 92% AUC classification, automated retraining cut drift 60%

Software Engineer at edgetensor, Oct 2021 - Oct 2023 · 2 yrs 1 mo, Bangalore Urban, Karnataka, India

Research And Development Engineer at Dassault Systèmes, Jul 2019 - Oct 2021 · 2 yrs 4 mos, Pune, Maharashtra, India, Working in service support vertical as a research and development engineer to develop future prospective products Responsibilities: • Experienced in complete Software Development Life Cycle and major aspects of technological projects including Requirement Analysis, Design, Development, Database Design, Deployment, Testing, Debugging, and Application Maintenance. • Developed cross-functional, multi-platform application systems enforcing python/C++, best practices and provide guidance in making long term architectural design decisions • Successfully developed and deployed Data Migration tools for Boeing, Mercedes, Hyundai, and SAAB. • Developed Job scheduling, web scrapper tools for application enhancement

Education

Master of Science - MS, Data Science, Liverpool John Moores University

Postgraduate Degree, Artificial Intelligence and Machine Learning, International Institute of Information Technology Bangalore