Ankana Lal

Motivated and academically strong DevOps Engineer with over two years of experience in software systems, automation, and cloud-native infrastructure. Holding a CGPA of 9.16 in Computer Science from SRM Institute, I possess a strong foundation in programming, formal methods, and distributed systems. My passion lies in solving software engineering problems at scale and contributing to the academic field through applied research and hands-on experience with production-level systems.

Automated Detection of COVID-19 through X-Ray Images

• Developed a deep learning model using Convolutional Neural Networks (CNNs) for detecting COVID-19 from chest X-ray images.
• Used Python, TensorFlow, and OpenCV with datasets from public sources. Achieved ~90% accuracy in binary classification. Explored model interpretability using Grad-CAM.

Fetching Secrets from AWS Secrets Manager for EKS Fargate Pods Using External Secrets Operator. 

• Published Blog on Secure Secrets Management in Cloud-Native Systems.
• Covers Kubernetes secrets injection using GitOps-style configuration, enabling scalable security.

MERN Expense Tracker 

• Scalable Deployment, Built an expense tracking web app with MongoDB, Express, React, Node.js.
• Deployed using Docker and Helm on AWS EKS. Provisioned infrastructure with Terraform (EKS, RDS, VPC). Configured CI/CD pipeline via Jenkins, GitHub, and Docker Hub.
• Integrated monitoring via Prometheus & Grafana.

Social Media Platform 

• Full-Stack App, Developed a social media application with user login, post/comment features.
• Deployed containers on EKS using Helm charts. Used Kubernetes for orchestration and NGINX as ingress controller.

AWS Certified Solutions Architect - Associate, 576834abf62b47b690e0b78859df1e36

Deloitte AI Certified - AI SGO verified

• IBM & Coursera - Data Analytics Specialization, Completed a comprehensive online program covering data analysis, visualization, and data-driven decision-making using Python and industry-standard tools.
• SRM University Workshop - Microservices Architecture with Spring Boot, Gained hands-on experience in building scalable backend services using Spring Boot, RESTful APIs, and containerized deployment.
• Microsoft Student Partner Program - Data Science & Machine Learning Track, Participated in a structured program focused on foundational machine learning concepts, data preprocessing, and model building using Python.
• ICREACT'22 Conference - Presenter: COVID-19 Detection Using Chest X-rays, Presented final year research project on automated COVID-19 detection using CNNs. Highlighted model architecture, accuracy, and real-world implications.

• Recognized at Deloitte for consistent high performance
• Winner in inter-school debate competitions
• Served as House Coordinator, managing student events and leadership responsibilities

• Hindi, Native
• English, Advanced
• German, Beginner

• Swimming
• Visual Art
• Cultural Travel