Vishal Talwar

Electric Vehicle (EV) Monitoring & Analytics Platform |AWS Bedrock | RAG | OpenAPI | SQL

• Architected and deployed a cloud-native EV monitoring platform using AWS CloudFront, API Gateway, Lambda, and Cognito for secure, scalable access
• Built an autonomous query agent to translate natural language → SQL, execute via Lambda, and return contextual insights
• Integrated AI-driven analytics using Amazon Bedrock with multi-agent orchestration to convert telematics data into actionable KPI insights
• Delivered £150K efficiency gains and €75K annual cost savings.

Test Bench Analytics & Anomaly Detection | Plotly-Dash | AWS | Python

• Automated monitoring of test bench sensor data (~200 attributes) for early anomaly detection, significantly reducing manual effort.
• Delivered a production-grade scalable monitoring solution using Plotly Dash and Machine Learning (e.g., Isolation Forest) for anomaly detection, deployed on AWS Elastic Beanstalk, with notifications sent via AWS SES.
• Enhanced operational efficiency, contributing to €186K annual cost savings.

Part Status and Procurement Insights Platform

• Developed a web-based application to monitor part status across prototype, pre-series, and series vehicle stages, improving supply chain visibility.
• Modernized an MS Access tool into Python/SQL workflows and built a data pipeline integrating SAP and supplier data.

AI Translation | Embeddings | RAG | Automation

• Automated translation of German customer special requests into standardized Turkish for a Turkey-based production plant using Claude 3.0, prompt engineering, and a Qdrant-based RAG pipeline.
• Built a serverless AWS architecture with API Gateway and Lambda, integrating Oracle Database via the Oracle-DB Python library for persistent storage and auditability.
• Reduced dependency on manual translation by enabling reassignment of two full-time resources to new tasks, with one reviewer retained for quality assurance, while delivering a low-latency, reliable, and scalable production-grade LLM system.