Aravind N.

About Aravind N.

Machine Learning | Data Science | GenAI & Agentic AI | Research & Application | Deployment & CloudOps | Creating Data Lakes Ground-up | Data & Cloud Design End-to-End Data Solutions | Vehicle Engineering Solutions | Proactive Recall | Factory Automation | EV Component Health | NLP | Data-Driven Decision Making | Connected Diagnostics | TelematicsI am a Data Scientist with over 6 years of experience in Predictive Modelling, Statistical Analysis, Natural Language Processing, and now in Generative AI and Agentic AI applications.My journey spans from solving core vehicle engineering problems to leading data-first initiatives in EV telematics, component health, connected diagnostics, and intelligent factory automation — always driven by customer-centric thinking and scalable solutions.Recently, I\'ve been actively leveraging LLMs, RAG (Retrieval Augmented Generation), and multi-agent systems to build customer-facing GenAI solutions that combine reasoning, memory, and planning — enhancing how data transforms into decisions at scale.I have also contributed to Agentic AI architectures, where autonomous agents decide, plan, and execute complex tasks such as diagnostics triaging, vehicle summary generation, fleet health monitoring, and insight generation across massive datasets.I collaborate across engineering, business, and marketing teams to bring together data, design, and delivery for high-impact outcomes.Contact: a••••••••@gmail.comHighlights:Mahindra XUV400 all electric 4W: Battery & Vehicle Health, Proactive Recall, Factory Process Enhancements, Cloud-Native Deployments Treo, Zor, Zeo – Mahindra Last Mile Mobility: Prognostics, Diagnostics, Component Health, Auto Report Generation, GenAI-powered summaries for decision-makers Ola S1 & S1 Pro (2W): Vehicle Health Monitoring, Production Analytics, From zero to 60k+ vehicles supported through scalable ML systems LLM-driven systems: Built prototypes of customer-support agents, insight-generating copilots, and retrieval-augmented diagnostics using LangChain, CrewAI, and custom Vector DB pipelinesSKILLSTECHNOLOGIESMachine Learning, Deep Learning, Generative AI (LLMs, RAG), Agentic AI, Anomaly Detection, Predictive Maintenance, NLP, CloudOpsTOOLSAWS (ECS, Lambda, S3, EC2, RDS, EventBridge),GCP (Cloud Functions, BigQuery, K8s Engine),Postgres, Apache Spark, Kafka, Docker, Jenkins, Apache PinotLANGUAGESPython, SQL, KQL, C, C++FRAMEWORKS & LIBRARIESScikit-Learn, Pandas, NumPy, PySpark, TensorFlow, Keras, PyTorch, LangChain, CrewAI, Streamlit, Flask, Tableau

Experience

1. Associate Vice President

   JPMorganChase

   Dec 2025 — Present · Bengaluru, IN

   Generative AI and Agentic AI solutions for Asset Wealth Management.

Education

• Savitribai Phule Pune University

  Bachelor of Engineering - BE