Engineering
Excellence.
Gen AI Engineer and Full-Stack Developer with 10+ years of experience delivering production-ready AI solutions, agent workflows, and automation systems. Successfully generated $12.5M+ in measurable business value through AI-driven automation, MCP tooling, industrial systems optimization, and scalable software engineering at Tesla and Coca-Cola.
Precision & Innovation.
My journey bridges rigorous engineering with visionary entrepreneurship. From scaling Tesla's production lines 10x to building AI systems saving Coca-Cola $2.5M+ annually, I architect solutions that aren't just functional — they're commercially dominant. As founder of ParkHere.ai, I apply the same precision to building AI-powered SaaS products from the ground up.
Engineering
- • Gen AI & LLM Systems
- • Industrial Automation
- • Full-Stack Architecture
- • Cloud Infrastructure
Entrepreneurship
- • AI SaaS Products
- • Computer Vision
- • Product Scaling
- • Revenue Generation
Career Trajectory
$12.5M+ in measurable business value through AI-driven automation, industrial systems optimization, and scalable engineering at Tesla and Coca-Cola.
Coca-Cola Consolidated
2020 — Present Current
Core Impact Metrics
Key Achievements
- check_circle MCP Server Development – Built custom Model Context Protocol (MCP) servers exposing internal Snowflake, SAP HANA, and SharePoint resources to LLM agents, enabling Director/VP-level stakeholders to query enterprise data conversationally with structured, audited tool calls.
- check_circle Agent Skill Libraries – Authored reusable agent skills for repeatable business workflows (financial reconciliation, invoice triage, KPI summarization, document processing), reducing time-to-deploy for new agentic use cases by 70%+ across departments.
- check_circle Tool Use & Orchestration – Designed structured tool schemas, prompt-caching strategies, and multi-step agent loops on top of the Anthropic SDK to cut token spend and latency on production agent calls while improving reliability.
- check_circle Azure Bot Framework & Microsoft 365 – Built and deployed enterprise AI bots using Teams Bot SDK, Azure App Registrations, and Bot Framework connectors, bridging Microsoft Copilot AI with Snowflake APIs to deliver conversational analytics across multiple departments.
- check_circle AI-Powered Document Processing – Architected intelligent PDF scraping systems with redundancy leveraging Snowflake Cortex, achieving 99.9% uptime and processing thousands of documents daily.
- check_circle 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.
- check_circle $1.5M+ prevented (growing $500K annually) – Partnered with Director/VP stakeholders across Finance and Operations, researching SAP T-codes and mapping SAP HANA data structures to develop AI-enhanced duplicate payment detection using Python, Snowflake, and ML algorithms, replacing a third-party service charging 30% commission.
- check_circle 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.
- check_circle Hybrid Cloud Architecture – Architected hybrid data pipelines migrating on-premises SAP HANA data through Azure Blob Storage to Snowflake, enabling cloud-based analytics and AI-driven decision-making across enterprise operations.
- check_circle Modernized legacy systems at the SPC facility, introducing SCADA for the first time and reducing downtime by 50% through targeted PLC upgrades.
- check_circle Established 24/7 remote support company-wide by deploying VPN-secured servers, enabling continuous monitoring and faster incident response.
Tesla Inc.
2015 — 2020
Core Impact Metrics
Key Achievements
- check_circle 10x production increase – Improved production output from 300 to 3,000 parts/day and successfully doubled the assembly line capacity, enabling massive production scaling.
- check_circle Directed the full lifecycle of automated manufacturing lines for Model 3, from design and development to deployment and optimization.
- check_circle Worked across Tesla's key facilities — Fremont, Gigafactory 1 (Nevada), and Tesla Grohmann Automation (Germany) — to optimize and align automation standards and performance.
Entrepreneurial
Ventures.
Founder of two production ventures: ParkHere.ai, an AI-powered parking-enforcement SaaS with custom-trained computer vision (95%+ accuracy, 99.
ParkHere.ai
Founder & Lead Engineer • 2023 — Present
Venture Mission
AI-powered parking enforcement SaaS platform revolutionizing parking management through intelligent automation and computer vision.
Platform Metrics
AI-Powered Parking Enforcement
Live production SaaS platform serving multiple commercial properties with enterprise-grade reliability.
Explore ParkHere.aiPACE — Personal Budget Aggregator
Founder & Sole Engineer · ARMB LLC • 2024 — Present
Venture Mission
Privacy-first mobile budget app that aggregates bank accounts via Plaid. Sensitive transaction data lives on-device; only encrypted Plaid tokens (KMS envelope encryption with userId/itemId/purpose context binding) live on the server.
Security Architecture
- key KMS Envelope Encryption
- shield Cloudflare Edge · OWASP
- database DynamoDB + GSI
- verified_user ES256 Webhook JWTs
- lock_person IAM Least-Privilege
Privacy-First Mobile Fintech
Live mobile budget aggregator with KMS-encrypted Plaid tokens, on-device transaction storage, and Cloudflare-hardened backend.
Visit ARMBFrom License-Plate ML to KMS-Encrypted Fintech
Two Production Stacks • Built End-to-End
ParkHere.ai runs Django + PostgreSQL + Redis + Celery + NGINX with custom-trained computer vision and GitHub Actions CI/CD. PACE runs React Native (iOS + Android) on top of Node.js + Express + AWS Elastic Beanstalk + DynamoDB + KMS, hardened by Cloudflare and full Plaid integration. Both built solo, deployed in production.
AI, Computer Vision & Cryptography
From ML Training to KMS Envelope Encryption
Custom-trained computer vision models powering ParkHere.ai (95%+ accuracy on license-plate recognition). KMS envelope encryption with userId/itemId/purpose context binding protecting every Plaid token in PACE. Both deployed at production scale.
Engineering Philosophy
-
01.
AI-First, Security-Always
Intelligent automation over brute-force, defense-in-depth on every surface that touches user data.
-
02.
Ship Fast, Iterate Faster
Production-first mindset. Deploy early, measure everything, optimize continuously.
-
03.
Measure Everything
Data-driven decisions from uptime to accuracy. If it's not measured, it doesn't exist.
Ready to build the next breakthrough?
Currently exploring high-impact AI/ML engineering roles and select venture partnerships for 2026.
Skill Arsenal.
Generative AI & LLMs
Security & Cryptography
Computer Vision & ML
Mobile & Cross-Platform
Programming Languages
Full-Stack Web Frameworks
Cloud & Infrastructure
Fintech & Integrations
Data Engineering & Analytics
DevOps & Automation
Industrial Automation
B.S. in Electrical Engineering Technology (BSEET)
Let's build
the future.
Open for high-impact Gen AI engineering roles, technical consulting, or strategic venture partnerships. Let's engineer something remarkable.
[email protected]