Championed the integration of Azure DevOps tools, resulting in the creation of CI/CD pipelines that improved deployment frequency by 40%, allowing for quicker feature releases and enhanced responsiveness to market demands
Orchestrated the implementation of SFTP integration with an external system for a global financial services company, resulting in a 35% increase in data transfer speed and a 20% reduction in security breaches
Reduced infrastructure provisioning errors by 25% through automated validation and testing with Terraform
Increased infrastructure deployment frequency to 3 times per week using azure pipelines and Terraform
Spearheaded the development and maintenance of containerized applications using Docker and Kubernetes, which accelerated application uptime by 30%.
Intern
Brainpan Innovations Private Limited
08.2021 - 10.2021
Orchestrated the creation of a resume analysis tool using NLP and NER, achieving an increase in candidate throughput by 40%, resulting in the successful hiring of 5 key positions within a condensed time frame
Achieved 90% NER accuracy and 95% classification accuracy for candidate suitability prediction
Mastered execution of diverse Python libraries, including Spacy and Pickle; leveraged these tools to finalize a project on Resume Screening with Machine Learning that intensified candidate filtering efficiency by over 40%.
Education
Bachelor in Technology in Information Technology -
Guru Gobind Singh Indraprastha University
Delhi, India
08.2022
Higher Secondary - undefined
CRPF Public School
New Delhi, India
05.2018
Skills
Python
Java
AzureDevops
MySQL
PowerBI
Excel
Data Structures
Algorithms
Devopstools
Azure DevOps
GitHub Actions
Azure Pipelines
YAML
PowerShell Scripting
GitOps
Argo CD
Jenkins
Infrastructure Automation
Terraform
Containerization
Docker
Kubernetes
Projects
Blue Box Admin web application(Wipro), 11/2022 - 08/2024:
This project consisted of ASP.Net code and CI/CD pipelines for Blue Box Admin web application, UI API service, Generic Customer API, laC Terraform code for provisioning Azure resources.
Upgraded application uptime from 30% to 40% by leveraging Docker's image layering and Kubernetes' self-healing capabilities.
Collaborated with cross-functional teams, including network engineers and security experts, ensuring compliance with financial regulations and reducing data transfer time by 40%.
Self-Driving Car (Personal project), 05/2022- 10/2022:
Developed a self-driving car model using AI and ML. The project involved training models for lane detection, obstacle avoidance, and real-time path planning.
Proficient in AI and ML frameworks: TensorFlow, PyTorch, and Keras. Skilled in computer vision techniques: image processing, feature extraction, and object detection., Experienced in sensor fusion: Integrated data from cameras, LiDAR, and radar.
Achieved 85% accuracy in lane detection under various lighting and weather conditions.
Implemented a robust obstacle avoidance system with a 94.6% detection rate for static and moving objects.
Certification
Microsoft Certified: Azure Az-900 (07/2022 - Present) Link - https://shorturl.at/nv7Xt
Machine Learning using Python from Skyfi Labs (09/2020 - Present) Link - https://shorturl.at/znnuI