Software Development Engineer at Guidewire, working on cloud-native infrastructure, observability, and developer tooling. I contribute to the Open Source Health Check initiative, helping assess and improve the health, security, and sustainability of the open source software used across our engineering teams. Alongside my day job, I build AI systems designed for production: tested, containerized, observable, and deployable through automated pipelines.
2026 Computer Science graduate from Vellore Institute of Technology (VIT).
- ☸️ Building and operating services on Kubernetes and Docker
- 📈 Monitoring, alerting, and dashboards with Datadog
- 🔁 Designing and maintaining CI/CD pipelines for reliable, repeatable releases
- 🔍 Open source health checks: dependency hygiene, licensing, maintenance activity, and security posture
- 🤖 Developing LLM, RAG, and Agentic AI applications with production practices
- 🧱 Strong foundation in Data Structures, Algorithms, and Backend Engineering
- Part of the Open Source Health Check effort, evaluating the health and risk of open source dependencies (maintenance activity, community strength, security and license posture).
- Work with Kubernetes and Docker to build, package, and deploy services in cloud environments.
- Build and improve CI/CD pipelines to automate build, test, and release workflows.
- Use Datadog for monitoring, dashboards, and alerting to keep services observable and reliable.
- Collaborate with cross-functional teams following code review, testing, and engineering best practices.
- Analyzed business requirements and data to support product and operational decisions.
- Developed dashboards and reports using Power BI and SQL.
- Delivered actionable insights for stakeholders.
- Performed exploratory data analysis on large datasets.
- Created reports and visualizations using Excel and SQL.
Built with production practices in mind: modular architecture, automated testing, containerization, CI/CD, and observability.
An AI security gateway designed to analyze and protect LLM applications against malicious prompts, prompt injection, jailbreak attempts, sensitive data exposure, and other AI-related threats.
- Intelligent Threat Detection: Uses semantic classification to identify malicious prompts and categorize security risks.
- AI Security Guardrails: Analyzes incoming prompts and enforces security policies before forwarding permitted requests to a local LLM.
- Local LLM Integration: Supports local model inference with a local-first AI architecture.
- REST API Architecture: Built with FastAPI and Pydantic for structured request validation and backend communication.
- Security Monitoring: Maintains prompt analysis history using Redis and provides a React-based dashboard for visualizing security results.
- DevSecOps Integration: Docker-based deployment, automated CI/CD workflows, and Trivy vulnerability scanning.
Tech: Python, FastAPI, React, Redis, Hugging Face Transformers, LLMs, Docker, GitHub Actions, Trivy, REST APIs
Converts natural language questions into optimized, validated SQL queries so non-technical users can work with databases safely.
- LLM-powered query generation with schema-aware prompting and query validation guardrails.
- Supports query optimization and result retrieval through a clean API layer.
- Containerized with Docker for consistent deployment.
- Tech: Python, SQL, NLP, Generative AI, LLMs, Docker
Deep learning pipeline that identifies manipulated images and videos to improve digital content trust.
- CNN-based detection using computer vision techniques for authenticity verification.
- Structured training and inference pipeline with reproducible experiments.
- Tech: Python, Deep Learning, CNNs, OpenCV, TensorFlow
End-to-end ML application delivering real-time price estimates from property features.
- Feature engineering, model training, and evaluation, served through an interactive web interface.
- Turns data into practical, decision-ready insights.
- Tech: Python, Machine Learning, HTML, CSS, JavaScript
Full-stack messaging platform with secure authentication and instant message delivery.
- WebSocket-based real-time communication and a responsive UI.
- Tech: React.js, Node.js, Express.js, MongoDB, Socket.io
Tourism management and booking system covering destination discovery through online reservation.
- User authentication, booking management, and payment workflows through REST APIs.
- Tech: React.js, Node.js, Express.js, MongoDB, REST APIs
- Advanced RAG systems and Agentic AI workflows
- Production AI: evaluation, monitoring, and deployment of LLM applications
- Kubernetes internals and container orchestration
- Infrastructure as Code with Terraform
- AWS architecture and cloud-native design
- Distributed systems
- Spring Boot
