$ cat resume.txt
Passionate about automation, CI/CD pipelines, and cloud infrastructure.
Building scalable systems and optimizing deployments.
$ ls projects/
Apache Airflow 3 Batch-Orchestration System
Architected highly parallel vehicle-data pipelines (RC, FASTag, VRN, Valuations)
using Airflow 3 on EC2. Designed fully automated DAGs that pull CSVs from S3,
split workloads into parallel chunks, and dispatch them to dynamically selected
staging/prod environments based on run metadata. Implemented robust error
handling, secure API credential loading via Airflow Connections, and global
pause/cancel states. Built automated CI/CD deployment via GitLab.
Grafana & OnCall Observability Stack
Deployed and configured comprehensive system monitoring using Grafana paired with
prometheus Node Exporters. Established robust alerting pipelines utilizing
Grafana OnCall to ensure rapid incident response for critical infrastructure.
Facility Management System
Developed a robust backend application using Java Spring Boot to manage facility
operations, integrating comprehensive business logic and REST APIs for efficient
resource tracking and administration.
$ cat education.md
B.Tech in AI and Machine Learning
University School of Automation and Robotics (2022–Present)
Class 12
National Institute of Open Schooling (NIOS) (2022)
Class 10
Central Board of Secondary Education (CBSE) (2020)