TaSain Valdez
AI Engineer who ships production-grade LLM systems. I deploy fine-tuned VLMs and autonomous agents on Kubernetes with a focus on safety, red-teaming, and adversarial robustness.
What I've built
Production systems at the intersection of AI, infrastructure, and security.
Secure AI Pipeline for BMI Estimation
Fine-tuned a 7B Vision-Language Model via LoRA, compressing trainable parameters to 35M (0.5%) while achieving 89% accuracy with 95% lower inference costs.
- Privacy by design: face blurring, synthetic data (BEDLAM), and LLM-as-Judge evaluations
- Reduced hallucination & refusal rates by 40% via custom refusal mechanisms
- Chain-of-Thought reasoning with zero-trust input validation, exceeding HarmBench safety benchmarks
MLOps & AI Agent Infrastructure
Productionized an auto-scaling Kubernetes inference cluster with GPU passthrough on Proxmox, achieving 99.9% uptime for LLM serving.
- Embedded red-team testing (Kali Linux) into CI/CD — patching prompt injection vulnerabilities pre-production
- Automated lead alerts via cron-driven scripts, reducing sales response time from hours to real-time
SaaS Booking Platform — On-Wheels Detailing CRM
Production CRM supporting multi-location, 6-tier pricing with Stripe payments and Telegram bot integration.
- Deployed on DigitalOcean with Nginx, systemd, and Cloudflare DNS/SSL/CI/CD
- 24/7 uptime with auto-restart policies — handled 100% of production incidents post-launch
Inventory Management Website — Detroit Business
Engineered a custom inventory management web application for a local Detroit business, handling product tracking and order management.
Magna Automation — Production Line Assignment Engine
Architected a worker-to-station matching system that reduced manual assignment time by ~40% during shift changes at a major automotive manufacturer.
- Built evaluateFit() scoring algorithm balancing line familiarity, station expertise, and employee rank
- Database-driven configuration enabled runtime reassignment without code changes
Where I've worked
Delivered 4 automation projects on time. Accelerated part-inspection throughput by 33% using Vuforia Model Targets. Reduced post-deployment debug cycles by 25% via custom C# logic.
Data-driven decision-making — analyzing real-time behavioral data to adjust intervention plans daily. 100% audit-ready compliance through meticulous documentation.
Built and deployed a production CRM with Stripe/Telegram integrations. Managed multi-location operations and 24/7 infrastructure reliability.
Academic background
B.S. Computer Science
Trustworthy AI coursework: LoRA/QLoRA, RLHF/DPO/GRPO, Red Teaming, Machine Unlearning (TOFU/WMDP), Agentic AI Safety, Grounded VLMs (LISA/GLaMM), Chain-of-Thought Reasoning, HarmBench/SafeChain.
Technologies I work with
AI & Machine Learning
MLOps & Cloud
Security
Languages & Tools
Get in touch
Available for opportunities in Detroit, Michigan (EST).
Detroit, Michigan · EST (UTC-5)
Onsite preferred
Work history
A track record of delivering results across AI, automation, and full-stack engineering.
Industry 4.0 / Automation Intern
480-hour rotational program. 4 automation projects delivered on time. 33% faster part inspection throughput.
Registered Behavior Technician
Real-time data analysis. 100% audit-ready compliance. Critical incident triage and adaptive communication.
Full-Stack Engineer & Founder
Production CRM with Stripe/Telegram. Multi-location ops. 24/7 infrastructure reliability.
CS Graduate — Trustworthy AI
GPA 3.4. Specialized in AI safety: LoRA, RLHF, red teaming, machine unlearning, grounded VLMs.