Kailash Chaudhary

2025 Computer Science Engineering graduate with hands-on internship experience across AWS cloud infrastructure, DevOps automation, and applied AI/ML. Built and deployed CI/CD pipelines (GitHub Actions, Jenkins, CodeDeploy), provisioned infrastructure as code with Terraform, and containerized applications using Docker and Kubernetes. Developed a production-style Retrieval-Augmented Generation (RAG) system using FastAPI, FAISS, and LLM inference, and a deep-learning video activity recognition pipeline (CNN+LSTM) with a published research paper.

Strong builder mindset with a track record of independently shipping full-stack, cloud-deployed projects from scratch. Comfortable across Python backend development, cloud operations, and ML pipelines, with AWS and IIT Roorkee DevOps certifications.

Cloud & DevOps Intern at TechEazy Consulting (2025-10 – 2025-12)

• Monitored AWS EC2 fleets using CloudWatch dashboards and alarms, tracking CPU utilisation, network traffic, and error rates in real time; configured SNS notifications for threshold breaches to support fast incident response.
• Diagnosed and resolved IAM permission boundary errors and CI/CD pipeline (YAML) misconfigurations through systematic log analysis; authored RCA documentation and deployment runbooks adopted by the team.
• Provisioned and maintained AWS infrastructure (EC2, S3, IAM, ALB, Auto Scaling Groups) using Terraform and Boto3, replacing manual console steps with version-controlled, repeatable infrastructure.
• Configured AWS WAF rate-limiting and geo-blocking rules to reduce malicious traffic and improve monitoring signal-to-noise ratio.
• Collaborated with development and QA teams in an Agile workflow, contributing to sprint goals around deployment reliability and operational documentation quality.

Cloud Associate Engineer Intern at TechnoGrowth Software Solutions (2023-12 – 2024-01)

• Configured and maintained Docker containers and Linux-based server environments, supporting consistent, reproducible deployments across development and staging.
• Performed post-release deployment validation checks and authored onboarding documentation and knowledgebase articles for new team members.

B.E. in Computer Science Engineering – PREC, Savitribai Phule Pune University (2025)