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I'm Davleen Kaur, a Full Stack Software Engineer focused on building scalable apps and optimizing workflows across the software development lifecycle. I enjoy turning ideas into robust Python-based services (FastAPI, Flask) and deploying on AWS and Azure to deliver reliable, high-throughput systems. I love applying AI and data-driven insights to real-world problems, from LLM-powered summarization to dashboards that empower underwriting teams. I thrive in collaborative environments, implement strong CI/CD practices, and keep production reliable with a focus on performance and maintainability.…I'm Davleen Kaur, a Full Stack Software Engineer focused on building scalable apps and optimizing workflows across the software development lifecycle. I enjoy turning ideas into robust Python-based services (FastAPI, Flask) and deploying on AWS and Azure to deliver reliable, high-throughput systems. I love applying AI and data-driven insights to real-world problems, from LLM-powered summarization to dashboards that empower underwriting teams. I thrive in collaborative environments, implement strong CI/CD practices, and keep production reliable with a focus on performance and maintainability.

Davleen Kaur

Full Stack Developer, Back-End Developer, Web Developer, +3

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I'm Davleen Kaur, a Full Stack Software Engineer focused on building scalable apps and optimizing workflows across the software development lifecycle. I enjoy turning ideas into robust Python-based services (FastAPI, Flask) and deploying on AWS and Azure to deliver reliable, high-throughput systems. I love applying AI and data-driven insights to real-world problems, from LLM-powered summarization to dashboards that empower underwriting teams. I thrive in collaborative environments, implement strong CI/CD practices, and keep production reliable with a focus on performance and maintainability.…I'm Davleen Kaur, a Full Stack Software Engineer focused on building scalable apps and optimizing workflows across the software development lifecycle. I enjoy turning ideas into robust Python-based services (FastAPI, Flask) and deploying on AWS and Azure to deliver reliable, high-throughput systems. I love applying AI and data-driven insights to real-world problems, from LLM-powered summarization to dashboards that empower underwriting teams. I thrive in collaborative environments, implement strong CI/CD practices, and keep production reliable with a focus on performance and maintainability.

Available to hire

I’m Davleen Kaur, a Full Stack Software Engineer focused on building scalable apps and optimizing workflows across the software development lifecycle. I enjoy turning ideas into robust Python-based services (FastAPI, Flask) and deploying on AWS and Azure to deliver reliable, high-throughput systems.
I love applying AI and data-driven insights to real-world problems, from LLM-powered summarization to dashboards that empower underwriting teams. I thrive in collaborative environments, implement strong CI/CD practices, and keep production reliable with a focus on performance and maintainability.

Skills

Experience Level

Expert

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Intermediate

Language

English

Fluent

Work Experience

Full Stack Engineer at Renegade Insurance

March 1, 2025 - Present

Architected FastAPI-based microservices integrated with Azure Document Intelligence, automating the parsing of 2K+ insurance PDFs daily, achieving 99% structured data accuracy and faster ingestion. Developed LLM-powered summarization and comparison pipelines using OpenAI GPT models, converting complex policy requirements into efficient AI-driven projects, reducing manual review time by 60%. Built Salesforce-integrated React and LWC dashboards visualizing AI-driven insights, enabling 60+ agents to assess coverages and enhancing underwriting throughput by 3×. Implemented Coverage Gap Analyzer (CGA) combining policy data with FEMA and compliance APIs, generating AI-driven coverage health scores and improving risk evaluation accuracy. Automated CI/CD pipelines on AWS for full-stack deployments, leading to a 40% reduction in release cycles while maintaining 99.8% uptime and consistent production reliability.

Full Stack Developer at Homescore

February 1, 2025 - March 31, 2025

Implemented Zillow API integration for automated property analysis, enhancing accuracy by 18% and reducing manual research time for over 500 weekly property queries by 40%. Designed robust Django test cases to ensure backend reliability and comprehensive edge case coverage, facilitating seamless API integration across multiple real estate data endpoints.

Research Assistant at WIoT Institute At Northeastern University

February 1, 2024 - December 31, 2024

Built interactive React-Leaflet web app for GeoJSON robot navigation, enabling visualization of 1GB+ mapping data, enhancing route planning efficiency by 30%. Developed secure Flask-MongoDB backend for GeoJSON management, supporting user-specific configurations and increasing backend query speed by 30% for concurrent users. Containerized and deployed Dockerized environment, reducing deployment errors and improving application reliability and UX for 50+ team members across research projects.

Backend Software Engineer at SigLens

September 1, 2023 - January 31, 2024

Architected high-performance Golang backend for log analysis, reducing data query latency from 2s to 400ms, enhancing troubleshooting capabilities across 1M+ log events and supporting SLA adherence above 99%. Implemented CI/CD pipeline with CircleCI and automated testing, achieving 95% code coverage and reducing manual integration effort by 80%, facilitating faster delivery of end-to-end software solutions. Developed distributed tracing APIs with Golang and D3.js, enabling real-time visualization of RED metrics across microservices to improve system performance metrics. Built multi-language telemetry apps with Java, Python, Node.js, and .NET, automating trace collection via OpenTelemetry and converting complex requirements into streamlined projects, reducing manual setup time by 80%. Created optimized Docker deployment scripts, accelerating environment setup from 30 minutes to 10 minutes, enhancing developer productivity and release cadence for continuous delivery.

Software Developer (Research) at Medical Infrared Diagnostic Centre

October 1, 2020 - April 30, 2022

Led 3-member team to own and code end-to-end deliverables for Python machine learning model development using Flask, Redis, and MongoDB for thermal breast anomaly detection, achieving 90% accuracy and $50K potential diagnostic savings. Defined architecture for scalable deployment utilizing Redis caching and AWS EC2 with Docker, handling 1K+ image datasets, improving processing speed by 60% and enabling scalable ML inference.