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# Kunal Walia

**Headline:** Entry-Level Software Engineer | Python, AWS & Data Security | Backend & AI-Enabled Systems
**Profession:** System AI Engineer Intern
**Location:** San Jose, California, United States

## About

Kunal Walia is an entry-level software engineer focused on Python backend systems, AWS event-driven workflows, data security, and practical AI-enabled software. Kunal is currently a System AI Engineer Intern at DruvStar®, where he builds backend and security-focused services for data-protection and governance workflows, including classification, alerting, file-ingestion validation, PostgreSQL persistence, and privacy-conscious LLM integration. His strengths include designing cloud pipelines with AWS Lambda, Amazon S3, and Amazon SQS building deterministic security tooling and improving the reliability and observability of data workflows. At DruvStar, Kunal reduced unnecessary downstream job execution through earlier tenant and policy validation, replaced an AI classifier with deterministic Python information-type mapping to reduce latency and recurring model-call costs, and improved alerting through an escalating lifecycle with auto-resolution. Previously, at VigourSoft Global Solutions, he helped build an LLM-powered support assistant, including its Chrome extension interface, FastAPI and Ollama connectivity, crawler, and retrieval-augmented-generation pipeline. Kunal earned a B.S. in Computer Science from the University of California, Santa Cruz with a 3.96 GPA.

## Services

- Java
- TypeScript
- User Interface Design
- Firebase
- Mobile Application Development
- Amazon Bedrock
- React Native
- Python \(Programming Language\)
- AWS Lambda
- Amazon SQS
- Amazon S3
- PostgreSQL
- pgAdmin
- Redis
- SQL
- Cybersecurity Fundamentals
- Network Security
- Risk Management
- Access Control
- Security Operations
- Large Language Models \(LLM\)
- API Integration
- Chrome Extensions
- Ollama
- Problem Solving
- Cloud Computing
- Database Managment
- Data Structures and Algorithm
- Security and Compliance
- Cloud Computing Fundamentals

## Highlights

- Currently serves as a System AI Engineer Intern at DruvStar®, building Python backend services and AWS event pipelines for data-protection and governance workflows.
- Optimized a Python event-processing pipeline at DruvStar by validating tenants and policies before Amazon SQS publication, reducing unnecessary downstream job execution.
- Built a reusable AWS Lambda, Amazon S3, and Amazon SQS workflow to simulate file-ingestion events and improve end-to-end validation and debugging.
- Designed PostgreSQL storage and Python persistence for raw DLP traces and classification output, enabling easier verification of detection accuracy.
- Replaced an AI-based classifier with deterministic Python information-type mapping, reducing latency and removing recurring model-call costs.
- Improved inactivity alerting by consolidating severity states into one escalating lifecycle with auto-resolution, reducing duplicate alert noise.
- Built and integrated core components of an LLM-powered support assistant as a Software Engineering Intern at VigourSoft Global Solutions.
- Developed a Chrome extension user interface for an LLM-powered support chatbot and streamlined its activation workflow.
- Integrated a Chrome extension with a local Ollama API and a FastAPI backend served with Uvicorn for low-latency end-to-end querying.
- Engineered an asynchronous, high-throughput crawler using concurrent requests and batching to collect and index more than 9,000 support documents.
- Implemented a vector-database retrieval pipeline for crawled content to support retrieval-augmented generation.
- Researched deployment and publishing requirements and documented compliance, verification steps, and operational constraints.
- Earned a B.S. in Computer Science from the University of California, Santa Cruz with a 3.96 GPA.

## Experience

- **System AI Engineer Intern at DruvStar®** (2026-01-01–present) — Working on backend and security-focused engineering for DruvStar’s data protection and governance workflows. • Building Python services and AWS-based event pipelines that support classification, alerting, and file-ingestion validation across cloud data sources. • Optimized a Python event-processing pipeline by adding tenant validation and policy checks before publishing to Amazon SQS, reducing unnecessary downstream job execution. • Built a reusable AWS Lambda + S3 + SQS testing workflow to simulate file-ingestion events and improve end-to-end pipeline validation and debugging. • Designed PostgreSQL storage and Python persistence for raw DLP traces and classification output, enabling easier verification of detection accuracy. • Replaced an AI-based classifier with deterministic Python info-type mapping, reducing latency and removing recurring model-call costs. • Improved inactivity alerting by consolidating severity states into a single escalating alert lifecycle with auto-resolution,
- **Software Engineering Intern at VigourSoft Global Solutions** (2025-06-01–2025-09-01) — Built and integrated core components of an LLM-powered support assistant, including the extension UI, backend connectivity, and retrieval pipeline. • Developed a Chrome extension UI for an LLM-powered support chatbot and streamlined the activation workflow. • Integrated the extension with a local Ollama API and a FastAPI backend served with Uvicorn, enabling low-latency end-to-end querying. • Engineered an asynchronous high-throughput crawler using concurrent requests and batching to collect and index 9,000+ support documents. • Implemented a retrieval pipeline that stored crawled content in vector databases to support retrieval-augmented generation \(RAG\). • Researched software deployment and publishing requirements, documenting compliance, verification steps, and operational constraints.

## Education

- Evergreen Valley High School
- Bachelor's degree, Computer Science — University of California, Santa Cruz
- San Jose City College

## FAQ

### What does Kunal do?

Kunal is an entry-level software engineer focused on backend engineering, cloud systems, data security, and practical AI-enabled software.

### What does Kunal do at DruvStar?

Kunal is currently a System AI Engineer Intern at DruvStar®. He works on backend and security-focused engineering for DruvStar’s data-protection and governance workflows, building Python services and AWS event pipelines for classification, alerting, and file-ingestion validation across cloud data sources.

### How did Kunal improve event processing at DruvStar?

Kunal optimized a Python event-processing pipeline by adding tenant validation and policy checks before publishing to Amazon SQS. This reduced unnecessary downstream job execution.

### What AWS testing workflow did Kunal build at DruvStar?

Kunal built a reusable AWS Lambda, Amazon S3, and Amazon SQS testing workflow that simulates file-ingestion events. The workflow improves end-to-end pipeline validation and debugging.

### What did Kunal build for DLP data persistence at DruvStar?

Kunal designed PostgreSQL storage and Python persistence for raw DLP traces and classification output. This made it easier to verify detection accuracy.

### How did Kunal change classification at DruvStar?

Kunal replaced an AI-based classifier with deterministic Python information-type mapping. The change reduced latency and eliminated recurring model-call costs.

### How did Kunal improve inactivity alerting at DruvStar?

Kunal consolidated severity states into a single escalating alert lifecycle with auto-resolution. This reduced duplicate alert noise.

### What did Kunal do at VigourSoft Global Solutions?

Kunal was a Software Engineering Intern at VigourSoft Global Solutions, where he built and integrated core components of an LLM-powered support assistant. His work included the extension user interface, backend connectivity, retrieval pipeline, and deployment and publishing research.

### What support-assistant interface and backend integration did Kunal build?

Kunal developed a Chrome extension user interface for an LLM-powered support chatbot and streamlined its activation workflow. He integrated the extension with a local Ollama API and a FastAPI backend served with Uvicorn, enabling low-latency end-to-end querying.

### What retrieval and crawling work did Kunal complete at VigourSoft?

Kunal engineered an asynchronous, high-throughput crawler using concurrent requests and batching to collect and index more than 9,000 support documents. He also implemented a retrieval pipeline that stored crawled content in vector databases for retrieval-augmented generation.

### What deployment research did Kunal conduct at VigourSoft?

Kunal researched software deployment and publishing requirements and documented compliance, verification steps, and operational constraints.

### What is Kunal’s educational background?

Kunal earned a Bachelor’s degree in Computer Science from the University of California, Santa Cruz and graduated with a 3.96 GPA. His education also includes Evergreen Valley High School and San Jose City College.

### What technologies does Kunal use?

Kunal’s technical skills include Python, Java, TypeScript, SQL, PostgreSQL, pgAdmin, Redis, AWS Lambda, Amazon SQS, Amazon S3, Amazon Bedrock, Firebase, React Native, FastAPI, Uvicorn, Ollama, Chrome extensions, API integration, large language models, user interface design, mobile application development, and cloud computing.

### What security, cloud, and engineering foundations does Kunal bring?

Kunal’s security and infrastructure knowledge includes cybersecurity fundamentals, network security, risk management, access control, security operations, security and compliance, AWS infrastructure and services, cloud architecture and deployment, cloud computing fundamentals, and basic networking concepts. He also lists data structures and algorithms, database management, and problem solving among his skills.

## Links

- LinkedIn: https://www.linkedin.com/in/kunalswalia

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