Alejandro Riquelme

Professional Summary

Gen AI Engineer and Full-Stack Developer with 10+ years of experience delivering production-ready AI solutions and automation systems. Successfully generated $12.5M+ in measurable business value through AI-driven automation, industrial systems optimization, and scalable software engineering at Tesla and Coca-Cola. B.S. in Electrical Engineering Technology with proven expertise spanning Gen AI development, full-stack engineering, industrial automation, and cloud architecture.

Work Experience

Coca-Cola Consolidated Current Role

Gen AI Engineer (Current) | Senior BI Developer | Senior Controls Engineer

payments $2.5M+ Annual Savings Generated Through AI Automation

rocket_launch Recent Gen AI Developments (2024-2025)

• AI-Powered Document Processing – Architected and deployed intelligent PDF scraping systems with redundancy leveraging Snowflake Cortex, achieving 99.9% uptime and processing thousands of documents daily.
• Agentic AI Applications – Built production-ready AI agents, bots, and assistants using LLM frameworks to automate business functions, reducing manual intervention by 80%+ across multiple departments.
• Financial Reconciliation Automation – Engineered AI-driven financial reconciliation processes using advanced pattern recognition and anomaly detection, saving $1.5M annually and improving accuracy to 99.8%.
• LLM Integration & Orchestration – Implemented Snowflake Cortex LLM agents in production environments, creating conversational interfaces for data analytics and automated report generation.
• AI Application Delivery – Delivered multiple AI-driven applications to production using Django, Streamlit, and FastAPI, serving thousands of daily active users with sub-second response times.

business_center Business Intelligence & Automation Achievements

• $1.5M+ prevented (growing $500K annually) – Developed AI-enhanced duplicate payment detection system using Python, Snowflake, and ML algorithms, replacing a third-party service charging 30% commission. Savings compound year-over-year as transaction volume grows.
• 10x vendor processing capacity – Engineered AI-driven financial reconciliation system that automated vendor data matching and validation, enabling workers to process 1,000 vendors instead of 100 – a 10x productivity improvement through intelligent automation.
• Built and deployed enterprise-grade applications using Django, Streamlit, and Microsoft Power Automate with integrated AI capabilities.
• Implemented Azure DevOps CI/CD pipelines with automated testing and deployment, reducing deployment time by 70%.
• Created Streamlit-based AI tools to automate repetitive tasks for junior developers, improving team efficiency and reducing manual workload.
• Trained colleagues in Docker, Kubernetes, and containerized deployment, streamlining application hosting and accelerating onboarding.
• Integrated AWS EC2 and SNS to support real-time AI workflows and automated notifications.

settings Industrial Automation & Infrastructure

• Modernized legacy systems at the SPC facility, introducing SCADA for the first time and reducing downtime by 50% through targeted PLC upgrades.
• Established 24/7 remote support company-wide by deploying VPN-secured servers, enabling continuous monitoring and faster incident response.

Tesla Inc. (2015–2020)

Senior Automation Engineer – Tesla Grohmann Automation & Gigafactory 1

trending_up Est. $10M+ Value from 10x Production Increase

• 10x production increase – Improved production output from 300 to 3,000 parts/day and successfully doubled the assembly line capacity, enabling massive production scaling.
• Directed the full lifecycle of automated manufacturing lines for Model 3, from design and development to deployment and optimization.
• Worked across Tesla's key facilities — Fremont, Gigafactory 1 (Nevada), and Tesla Grohmann Automation (Germany) — to optimize and align automation standards and performance.
• Integrated robotics and custom SCADA systems using Ignition for real-time process monitoring and production analytics.
• Collaborated with international teams to ship, install, and commission over 100 automated machines across global production lines.

Skills

Education

Entrepreneur Journey

Founder and Lead Engineer of ParkHere.ai, an AI-powered SaaS platform revolutionizing parking enforcement through computer vision and intelligent automation. Built from ground-up using Django, PostgreSQL, and custom-trained ML models. Delivering measurable impact with 90%+ efficiency improvements and 99.9% system uptime across multiple commercial deployments.

Founder & Lead Engineer – AI-powered parking enforcement SaaS platform revolutionizing parking management through intelligent automation and computer vision.

smart_toy AI & Computer Vision Technology

• AI-Powered Camera Systems – Deployed intelligent parking enforcement cameras with real-time license plate recognition, vehicle detection, and violation classification using custom-trained computer vision models.
• Modular AI Architecture – Engineered modular, scalable AI components for efficient deployment across multiple sites, reducing implementation time by 60% while maintaining 95%+ accuracy.
• Automated Deployment Pipeline – Built webhook-based auto-deployment system eliminating manual checkups, enabling zero-downtime updates and continuous model improvements across all camera installations.

developer_mode Full-Stack Development & Infrastructure

• Django Stack Architecture – Architected and deployed production-ready Django application with PostgreSQL, Redis caching, Celery task queue, and RESTful API serving real-time parking data.
• Server Configuration & Deployment – Configured and managed cloud infrastructure with Docker containerization, NGINX load balancing, and automated SSL certificate management for high availability.
• Client & User Portals – Built responsive, feature-rich portals for property managers (client portal) and parkers (user portal) with real-time notifications, payment processing, and dispute resolution workflows.
• Webhook Integration – Implemented comprehensive webhook system for real-time event notifications, payment confirmations, and third-party service integrations (Stripe, Twilio, AWS S3).
• CI/CD & DevOps – Established automated testing, continuous integration, and deployment pipelines using GitHub Actions, reducing deployment time from hours to minutes.

trending_up Business Impact & Metrics

• 90% efficiency improvement – Reduced parking violation processing time through intelligent automation
• 95%+ AI accuracy – Achieved high-precision license plate recognition across diverse lighting conditions and weather
• 99.9% system uptime – Successfully deployed to multiple commercial properties with enterprise-grade reliability
• Thousands of daily events – Built scalable SaaS platform capable of handling high-volume parking operations
• Real-time processing – Sub-second AI inference and automated notification delivery to users and property managers