Brooklyn, NY
Master's in Computer Engineering, New York University
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I build reliable systems around data, cloud infrastructure, and internal tooling. My background spans AWS, Terraform, Salesforce automation, analytics reporting, and ML-focused side projects. I tend to do my best work where a messy process needs to become something dependable.
- Backend and platform work with a strong operational angle
- Data and analytics workflows that need clean automation
- Cloud projects where reliability, visibility, and security matter
NYU K12 STEM Education Center
Data Analyst, GSET | Brooklyn, NY | Oct 2024 - Dec 2025
- Automated parts of a Slate-to-Salesforce migration with Python and APIs, saving 20 hours of manual work each month.
- Built Tableau reporting on top of PostgreSQL and Salesforce data to support enrollment tracking and program reporting for 500+ students.
NYU Courant Institute of Mathematical Sciences
Teaching Assistant | New York, NY | Sep 2025 - Dec 2025
- Ran weekly recitations in Java and data structures for 30+ undergraduate students.
- Supported grading, debugging, and office hours.
Scanpoint Geomatics Ltd
DevOps Engineer | Ahmedabad, India | Jan 2021 - Dec 2023
- Improved CI/CD workflows with Docker, Jenkins, GitHub Actions, and Bitbucket Pipelines, bringing deployment time down from 2 hours to 15 minutes.
- Managed AWS infrastructure with Terraform and Ansible for GIS products, with monitoring and alerting that supported 99.9% uptime.
- Master's in Computer Engineering - New York University
- Bachelor's in Information Technology - SRM Institute of Science and Technology
DefaultRisk
Terraform plan scanner for catching risky cloud defaults before deployment.
- Built to surface security-impacting defaults that are easy to miss in review
- Supports JSON and SARIF output for CI use
- CreditCardFraudDetection - fraud detection workflow using PySpark, MLlib, and Flask
- DeepGuard - deepfake face detection notebook using EfficientNet with forensic-style analysis
- LibraryManagementSystem - role-based system for library operations, bookings, and reporting
Core: Python, SQL, AWS, Terraform, PostgreSQL
Also use: Java, JavaScript, Docker, GitHub Actions, Salesforce, Tableau, Power BI, Flask, PySpark, TensorFlow, scikit-learn


