HELLO, I'M
Hetvi Joshi
Software Engineer
Crafting robust and scalable software solutions with precision and innovation.
About Me
I’m a software engineer who thrives on designing systems that scale elegantly and think intelligently. With 3 years of experience and a Master’s in Computer Science from UT Arlington, I’ve built everything from fault-tolerant microservices and AI-driven agents to full-stack cloud platforms running on AWS and Kubernetes. I love solving hard problems at the intersection of distributed systems, automation, and applied AI, the kind that demand both precision and creativity.
Education
Master of Science in Computer Science
University of Texas at Arlington
Arlington, Texas
08/2023 – 05/2025
GPA: 3.75/4.0
Bachelor of Technology in Computer Engineering
Dharmsinh Desai University
Gujarat, India
07/2017 – 05/2021
GPA: 3.56/4.0
Technical Proficiencies
Programming Languages
Web and Mobile Technologies
ML/AI
Databases and Search
AWS
Google Cloud
DevOps
Tools
Professional Experience
Mobile Development Engineer
OkAgent
September 2025 – Present
- Engineered voice-powered Profile Builder using Vapi AI SDK for conversational AI interviews; integrated webhook-based profile extraction pipeline achieving 89% parsing accuracy and 78% reduction in manual profile creation time.
- Architected News Agent feature with RSS feed aggregation, Gemini API summarization, and Serper API image extraction; implemented database caching layer with 1-hour TTL, optimizing load performance by 80%.
- Delivered Learn Agent POC integrating MUX video streaming with adaptive bitrate playback via react-native-video; implemented progressive loading and buffer optimization strategies, achieving 94% playback success rate for video content.
Research Volunteer - Explainable AI for Medical Diagnosis
University of Texas at Arlington
June 2025 – Present
- Engineered XAI evaluation framework with 4 custom metrics (Relative Stability, Maximum Sensitivity, Infidelity, Complexity) on Wisconsin Breast Cancer dataset, establishing medical ML interpretability benchmarks.
- Developed comparative analysis of XAI models (SHAP, LIME, EBM) with SVC classifier for Parkinson's disease prediction, optimizing explanation techniques for neurological disorder classification.
- Implemented statistical validation protocols for heterogeneous medical datasets, enhancing feature reliability and prognostic model trustworthiness across healthcare applications.
Software Engineer
Aubergine Solutions
12/2020 – 07/2023
- Built microservices resume screening platform using event-driven architecture with AWS Lambda, SQS, DynamoDB; auto-scaling system that processes 150+ resumes daily with 93% accuracy, reducing infrastructure costs by 40%.
- Created fault-tolerant API gateway with Express.js, implementing circuit breaker patterns, rate limiting, JWT authentication; handles 230K+ monthly requests with 99.8% uptime and zero breaches.
- Led Redis caching optimization using distributed cache-aside pattern, reducing API response times by 63% (230ms to 85ms) for 10K+ daily users.
- Integrated secure payment processing with PCI-compliant microservices and Stripe APIs, implementing idempotent transactions processing $50K+ daily revenue at 99.9% success rate.
- Implemented enterprise security framework for Django with Apache hardening, OAuth 2.0, RBAC; achieved SOC 2 compliance, reduced security incidents by 30%.
Featured Projects
A collection of projects that showcase my expertise in full-stack development
Get in Touch
I'm always open to new opportunities and collaborations. Feel free to reach out!