● Taught supplementary material for Software Construction, reinforcing design principles and testing frameworks. ● Conducted labs, guiding students in code analysis, debugging, and applying design patterns to real-world problems. Technical projects: 1. Retrieval-Augmented-Generation. ● Developed a Retrieval-Augmented Generation system in Python leveraging vector embeddings and transformer-based models to explain complex game rules, delivering accurate, context-aware responses through a structured pipeline. ● Integrated Google Search grounding via Gemini to supplement retrieved knowledge with real-time information, improving relevance, completeness, and accuracy of rule interpretations while maintaining scalable data retrieval. ● Created an evaluation framework with multi-criteria scoring, which includes accuracy, completeness, consistency, and reasoning quality and used an LLM-based evaluator to systematically assess and compare response quality. Technologies: Python, Gemini, LLM, Kaggle. 2. SRE Incident Response Automation. ● Automates end-to-end SRE incident management using a hierarchical multi-agent system, where a root agent delegates alerts to specialized sub-agents for triage, remediation, and reporting across diverse cloud environments. ● Leverages a reasoning model via LiteLLM for complex reasoning, runbook generation, and automated remediation proposals, supporting both auto-tasks and human-in-the-loop approvals for faster incident resolution. ● Integrates with ADK Web to provide real-time visualization of agent workflows, incident timelines, and postmortem reports, enabling traceability and enterprise-grade monitoring of the incident response pipeline with user controls. Technologies: Python, LLM Automation, uvicorn, Mistral NeMo. 3. Dockerized File Transfer System. ● Achieved seamless containerization of a client-server socket application as measured by efficient deployment of separate Docker containers for client and server, optimizing communication and network performance. ● Engineered a robust client-server architecture using Docker as measured by secure file transfer and checksum verification, leveraging persistent volumes and TCP sockets for isolated container communication. ● Implemented Docker container orchestration for a client-server system as measured by reliable data transfer and storage persistence, utilizing volume mounts and TCP socket connections across isolated environments. Technologies: Python, Docker, TCP. 4. Scalable Web Service with Kubernetes. ● Deployed an Nginx web server using Kubernetes by configuring a multi-node cluster on Cloudlab, setting up a control plane and worker nodes to support containerized workloads and container resilience within the cluster. ● Ensured application scalability as measured by successful replication and automatic scaling of Nginx pods using Kubernetes Deployment, maintaining minimal downtime during traffic fluctuations and dynamic resource scaling. ● Exposed Nginx pods to internal network access as measured by successful connectivity tests by configuring a Kubernetes ClusterIP service, ensuring stable and secure communication within the cluster. Technologies: Kubernetes, Nginx, Container Orchestration.

● Directed weekly labs for Embedded Systems, guiding students on Arduino projects, debugging, and system design. ● Developed exercises that integrated hardware/software interfaces, real-time systems, and embedded programming.