• Gained hands-on experience in AI by working on advanced prompt engineering techniques.
• Designed and optimized prompts using few-shot and chain-of-thought prompting to improve AI response accuracy and reliability.
• Conducted performance benchmarking and evaluation of Large Language Models (LLMs) to compare outputs and reduce hallucinations.
• Built structured prompts and evaluation frameworks, ensuring format compliance, clarity, and consistency in AI-generated results.
• Applied AI concepts to real-world scenarios, strengthening problem-solving and automation capabilities.
• Tools: Google Gemini, ChatGPT, Google Whisk, Google Flow, Canva, Inworld AI.

• Supported CI/CD pipeline development using Jenkins, Docker, and Git to automate build, test, and deployment workflows.
• Assisted in provisioning and managing AWS cloud infrastructure (EC2, VPC, S3) using Terraform Infrastructure as Code (IaC) principles.
• Monitored system performance and containerized environments using Docker and Linux-based tools to support reliable application deployments.

• Delivered customer service operations on the Oracle Banking platform, processing 100+ transactions daily with high accuracy and zero critical errors.
• Collaborated with cross-functional teams to investigate and resolve technical and process-related issues, improving response times and service quality.
• Coordinated daily operations by aligning team resources, monitoring performance metrics, and implementing process improvements.

A desktop drawing tool with line, rectangle, and circle shapes, five brush types (solid, hatch, linear gradient, texture, path gradient), pen styles, a toolbar and context-menu UI, and PNG export.

An AI-powered career guidance web app that parses resume PDFs, scores ATS compatibility, identifies missing skills, and generates technical, HR, and scenario-based interview questions with personalized career guidance.

A custom Grafana Docker image integrated with AWS CloudWatch to visualize real-time EC2 metrics, with dashboards tracking CPU, memory, and disk usage for proactive performance analysis.

A secure, scalable 3-tier architecture with a custom VPC (2 public and 2 private subnets), load-balanced via Route 53, ALB, and NGINX, with CRUD operations on RDS, CloudWatch dashboards for EC2, and automated EC2/RDS backups with AWS Backup.

End-to-end deployment of a banking web application — AWS EC2, VPC, and S3 provisioned with Terraform, container images pushed to Docker Hub, and Jenkins CI/CD pipelines for automated deployments.