Hello, I'm

Varenya Sri Mudumba

Aspiring Software Development & Security Engineer

Graduate Student at Texas A&M University. Building secure, scalable, and resilient software solutions.
Actively seeking Summer 2026 Internships in Security and Software Development.

About Me

I am currently pursuing an Master of Science in Computer Science at Texas A&M University (GPA 4.0/4.0), focusing on Security Engineering, Software Security, and applications of security in AI/ML and Quantum Computing. Previously, I worked as a Software Development Engineer at Zscaler, where I optimized cloud provisioning and integrated key security features.

My passion lies in the intersection of AI/ML, cybersecurity, and quantum computing. Whether it's architecting quantum-safe applications or building zero-trust systems, I love solving complex problems that require deep technical understanding.

Technical Skills

Languages

C/C++ Python JavaScript Rust SQL Bash Groovy

Infra & DevOps

Terraform Ansible Jenkins AWS GCP Git Linux

DBs & Frameworks

PostgreSQL MongoDB OpenSearch Kibana React.js Node.js Express

Experience

Dec 2025 - Present

Student Research Assistant

Texas A&M University, Dept. of Soil & Crop Sciences

As a key member of the GAIA research group, I am spearheading the application of rigorous computer science principles to agricultural challenges. I am scaling transfer learning models to analyze multi spectral soil data, leveraging High-Performance Computing (HPRC) clusters to process environmental data. My work directly contributes to optimizing crop yields through precision agriculture, bridging the gap between deep learning research and practical, impactful application.

PyTorch HPRC Transfer Learning Python
Dec 2024 - Aug 2025

Software Development Engineer

Zscaler, Hyderabad, India

I played a pivotal role in supporting and enhancing our quality assurance infrastructure, joining a dedicated effort to build a custom Pytest-based monitoring system that runs over 900 daily regression tests. My contributions helped ensuring this system remained the backbone of our release cycle, catching regressions hours after code commits rather than days.

Beyond testing, I optimized our cloud infrastructure provisioning. By successfully integrating Terraform and Ansible automation into our team's workflow, I reduced the environment setup time from 18 hours to just 3, effectively unblocking the development team and accelerating our sprint velocity. I also championed high code quality, conducting rigorous reviews for over 70 PRs to ensure security and maintainability.

Sep 2024 - Dec 2024

Associate Software Developer Engineer

Zscaler, Hyderabad, India

I focused on architectural consolidation and feature integration. I successfully migrated legacy modules into a unified, modern framework, which reduced technical debt and maintenance overhead by nearly 50%.

I also acted as a bridge between the Zscaler Private Access (ZPA) core team and internal application teams, integrating secure access features that were adopted by over 7 distinct internal groups, streamlining secure connectivity across the organization.

Feb 2024 - Sep 2024

Software Developer Intern

Zscaler, Bangalore, India

During my internship, I automated the setup of our simulation environments ("sim-boxes") on AWS. I automated the lifecycle management of EC2 instances and secure storage via S3 and Secrets Manager, making the process 12 times faster.

Believing that "you can't fix what you can't see," I extended our monitoring capabilities using Kibana and OpenSearch to visualize over 1,000 system metrics, helping the team identify performance bottlenecks that were previously invisible.

Jul 2023 - Jul 2023

Software Developer Intern

Athen Tech India, Hyderabad, India

I built a customer-facing chatbot from scratch using JavaScript, designed to offload routine queries from the support team. By designing intelligent conversation flows and integrating with backend APIs, the bot successfully resolved over 60% of common customer issues without human intervention, significantly improving response times and user satisfaction.

Publications

Exploring the PSO-Driven Test Pattern Generation Approach for Hardware Trojan Detection

Mar 2024

Authors: Sandip Chakraborty, Mudumba Sri Varenya, Anindan Mondal, Bibhash Sen

Conference: 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)

View DOI

Academic & Research Projects

SMCP: Secure Model Context Protocol

Feb 2026

Architected a quantum-safe protocol for AI tools using hybrid KEM (Kyber-768 + X25519) and Noise XX handshakes. Implemented DID-based identity and WASM sanitizer to prevent spoofing, MITM, and injection attacks.

Rust Post-Quantum Crypto WASM Zero-Trust

ZTBI: Zero Trust Browser Interface

Dec 2025

Developed a Chrome extension using DistilBERT/ONNX to detect Prompt Injections and LLM threats. Engineered Hybrid Scoring and Visibility Engine to defeat tag-splitting and PII exfiltration.

JavaScript ONNX DistilBERT Chrome Extension API LLM Security

Cyber Resilience in Smart Farming (SoK Research)

Oct - Nov 2025

Conducted a Systematization of Knowledge (SoK) on cyber resilience for digital agriculture. Defined a 4-layer architecture (Physical, Network, Cloud, Application) to map attack surfaces and synthesized a robust Cyber Resilience Lifecycle (Anticipate, Withstand, Detect, Respond, Recover) for Ag-IoT ecosystems.

Cybersecurity IoT Resilience Threat Modeling Agriculture 4.0 Research

Graph-Based Research Assistant (IUI Project)

Oct - Nov 2025

Developed an LLM-powered assistant for scientific literature analysis and personalized recommendations. Implemented graph-based mapping of document relationships and a context-aware Natural Language UI for continuous support in PDF summarization and deep context preservation.

LLM Natural Language UI React.js Context-Aware AI Graph Algorithms

Hardware Trojan Detection Research

Jun 2023 - Mar 2024

Conducted extensive literature review to identify state-of-the-art approaches in hardware Trojan detection. Devised and optimized test pattern generation algorithms using Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) for efficient Trojan detection. Collaborated closely with Prof. Bibhash Sen to publish findings.

MATLAB Python Digital Circuit Simulation Soft Computing

Achievements & Open Source

Open Source

  • Merged 2 PRs into qiskit-machine-learning (IBM Quantum) enhancing library functionality.

Competitive Programming

  • Avid competitive programmer with a peak CodeChef rating of 1893.
  • Solved 500+ DSA problems across various platforms.

Security

  • Active participant in CTF events, focusing on web exploits and practical cybersecurity challenges.

Leadership

Apr 2022 - May 2024

Class Representative

NIT Durgapur

  • Managed over 190+ students for 4+ semesters.
  • Coordinated academic schedules, assignments, and exam updates by maintaining effective communication between students and professors.
  • Organized and led class discussions, helping peers with queries on course content.
  • Represented the Department of CSE in student body meetings.