Full-stack Software Engineer building scalable, cloud-native systems across AWS, GCP, and Azure. I design and ship distributed applications that handle real-world scale, automate infrastructure with IaC, and run reliably in production. Driven by solving hard problems with clean code, strong DevOps practices, and end-to-end ownership.
View Projects Download Resume
Final-year B.Tech Computer Science student (2026) with a strong grasp of software engineering fundamentals and analytical thinking. Experienced in applying programming concepts to real-world problem-solving, with proven depth in data structures and algorithms through solving 100+ problems using Java. Demonstrated ability to understand unfamiliar systems quickly, reason through complex logic, and deliver reliable solutions by exercising sound judgment, disciplined testing practices, and consistent execution within defined timelines.
Iβve architected and deployed production-grade cloud systems on AWS, GCP, and Azure, building scalable, event-driven architectures that handle high-throughput workloads. I specialize in IaC (Terraform), CI/CD automation, distributed system design, and reliability engineering, delivering systems that are secure, observable, and battle-tested in production.
AWS (Virtual) β (JuneβAug) 2025
JPMorgan Chase & Co. (Virtual) β (OctβNov) 2025
Accenture(Virtual) β (Aug) 2025
Multi-Cloud Governance Platform
AWS Lambda, GCP Functions, DynamoDB, BigQuery, Terraform, Python
AI-Driven Retail Optimization
AWS Lambda, SageMaker, DynamoDB, EventBridge, Python, Terraform
Automated Cloud Security Remediation
AWS Lambda, CloudWatch Events, IAM, Terraform, Python
Multi-Cloud Control Plane
Kubernetes, Terraform, Helm, Prometheus, Grafana
University of Engineering and Management, Kolkata (2023β2025)
Served as Student Coordinator and organized multiple student-led technical and academic events, ensuring smooth execution and engagement of 200+ participants.
View Proof β
Panipat Institute of Engineering and Technology(CodeX 2.0 Hackathon β Finalist) Β· 2025
Collaboration with Hackingly
Selected as a finalist among 500+ teams by building GrowEasy, a production-grade retail forecasting platform using AWS Lambda, DynamoDB, React, and Terraform under strict time constraints through effective team collaboration.
View Announcement β