I'm pursuing my Master's in Software Engineering at Arizona State University (GPA: 4.00/4.00) with a unique background in Biotechnology. I bring analytical thinking from life sciences to building scalable, accessible applications and secure cloud infrastructure.
Currently:
- π» Building accessible web applications & MLSecOps frameworks
- π¨βπ« Teaching 150+ students Java programming as Instructional Assistant @ ASU
- π¬ Applying scientific rigor to software development (90%+ test coverage)
- π Learning Kubernetes, System Design, and MLOps
Experience: 3+ years as Full-Stack Developer @ 4 Systems Info Solutions
Looking for: Summer 2026 Software Engineering Internships
Languages Python β’ JavaScript β’ TypeScript β’ Java β’ SQL
Frontend React β’ Redux β’ Next.js β’ TailwindCSS β’ HTML/CSS
Backend Spring Boot β’ Node.js β’ FastAPI β’ Flask β’ Express
Cloud/DevOps AWS β’ Azure β’ Docker β’ Kubernetes β’ Terraform β’ Jenkins
Databases PostgreSQL β’ MongoDB β’ MySQL β’ Redis
Tools Git β’ VS Code β’ Postman β’ Jira
95/100 accessibility score (top 2% globally) | Production-ready e-commerce platform
- π€ Voice commands with Web Speech API for hands-free shopping
- ποΈ Full screen reader optimization (ARIA compliant)
- π¨ Colorblind modes (Protanopia, Deuteranopia, Tritanopia)
- βΏ WCAG 2.1 AA compliance throughout
Enterprise-grade MLSecOps framework | Co-authored Research Paper (CSE 543, Nov 2025)
- π‘οΈ Zero secret leakage across 342 production queries
- β‘ Sub-250ms API latency with only 8.5% pipeline overhead
- π >95% vulnerability resolution rate with automated SAST
- π Statistical validation (p < 0.01) proving production readiness
Published: Comprehensive threat model & AWS reference architecture
Multi-cloud infrastructure automation toolkit
- π§ Automated provisioning for VPC, EC2, S3, RDS
- π SRE monitoring with alerting & log aggregation
- π° Cost optimization strategies
- π 80% reduction in manual provisioning time
| Metric | Achievement |
|---|---|
| π» Code Quality | 90%+ Test Coverage |
| β‘ Performance | 75% Processing Improvement |
| βΏ Accessibility | 95/100 Score (Top 2%) |
| π CI/CD | 60% Faster Deployments |
| π₯ Teaching | 150+ Students Mentored |
| π GPA | 4.00/4.00 @ ASU |
| π Research | Published Paper (CSE 543) |
π Arizona State University | Tempe, AZ
Master of Science in Software Engineering | GPA: 4.00/4.00 | Expected May 2026
Relevant Coursework: Advanced Web Development β’ Data Structures & Algorithms β’ Software Design Patterns β’ Cloud Computing β’ Information Assurance & Security
Biotech β Software Engineering Journey 𧬠β π»
My background in biotechnology gives me a unique analytical approach to software development. I apply the same scientific rigor used in research to building robust, well-tested applications. This cross-domain perspective helps me:
- π¬ Apply systematic testing methodologies (achieving 90%+ coverage)
- π Use data-driven decision making in architecture choices
- π§ͺ Design experiments to validate performance optimizations
- π Approach debugging with scientific problem-solving methods
I'm always open to interesting conversations, collaboration opportunities, and Summer 2026 internship positions!