# Pranav Kale

> Software Engineer at PayPal | MS in Computer Science at University of Texas at Arlington

Location: San Jose, California, United States
Profile: https://flows.cv/pranavkale

Software Engineer specializing in backend and full-stack development, with experience building data-intensive and AI-driven systems.

Currently working at PayPal on the Credit Risk Platform, contributing to systems that support risk evaluation and decisioning at scale.

Previously at Amazech, I worked across the stack to build and integrate scalable applications using Node.js, Python, MongoDB, and Azure. My work focused on developing data pipelines, analytics platforms, and intelligent automation systems.

I built GPT-based chatbot solutions using function calling to enable personalized insights, skill analysis, and workflow automation. As part of FabricX, a data migration platform, I contributed as a full-stack developer—designing APIs, integrating frontend workflows, and implementing role-based access control (RBAC) for multi-tenant systems.

I also worked on AI-assisted schema validation and cross-database auto schema generation, improving migration accuracy and reducing manual effort in data transformation processes.

I’m particularly interested in building scalable backend systems, applying AI to real-world problems, and optimizing data-driven applications.

## Work Experience
### Software Engineer @ PayPal
Jan 2026 – Present | San Jose, CA

### Software Engineer @ Amazech Solutions
Jan 2024 – Present | Plano, TX
• Developed and integrated scalable backend APIs using Node.js and Python, contributing to end-to-end feature delivery across full-stack applications.

• Built a GPT-based chatbot system leveraging function calling to enable personalized recommendations, skill analysis, and automated workflows.

• Contributed as a full-stack developer on FabricX, implementing APIs and integrating frontend components for seamless user experiences.

• Designed and implemented role-based access control (RBAC) for secure, multi-tenant systems.

• Developed AI-assisted schema validation and cross-database auto schema generation features to streamline data migration and improve compatibility across systems.

• Implemented schema validation and compatibility checks for cross-database pipelines.

• Optimized MongoDB queries and aggregation pipelines, improving performance for analytics dashboards and reporting.

• Worked with Azure services and SQL databases to support large-scale data migration and processing workflows.

### Software Engineer @ Cyware
Jan 2024 – Jan 2024 | New Jersey, United States


## Education
### Master's degree in Computer Science
The University of Texas at Arlington

### Bachelor of Engineering - BE in Computer Science
Shivajirao S Jondhale College of Engineering Vishnu Nagar Dombivli (West) Dist Thane


## Contact & Social
- LinkedIn: https://linkedin.com/in/pranav-kale-16b8b6191

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Source: https://flows.cv/pranavkale
JSON Resume: https://flows.cv/pranavkale/resume.json
Last updated: 2026-04-10