Harjiven Dodd
AI/LLM Engineer | EE + Computational Neuroscience | Systems & Infra
AI and Machine Learning Engineer with 7+ years of experience specializing in LLM deployment, distributed inference, and AI-driven automation. Built multi-GPU inference clusters for 8–12 clients, production RAG pipelines with RAGAS-evaluated quality metrics, and neural-network memory management systems for continuous-learning AI agents.
Experience & Research
Advanced Electrical and Systems Engineer
2025 – PresentAI/Automation: LLM-powered document generation, n8n, Microsoft Copilot AI, Azure ML Studio
- Designed AI-augmented document generation workflows using n8n pipelines and Microsoft Copilot AI, significantly reducing manual FMEA and PSA safety analysis creation time
- Built information synthesis systems leveraging LLMs and Azure ML Studio to standardize safety analysis documents (FMEA, PSA, Reliability); integrated with Azure Functions for automated report generation
- Led electrical control systems design, circuit analysis, and comprehensive safety analysis for Honeywell systems
Continuous-Learning AI Agent Memory System
2024 – PresentPersonal Research
- Implemented Titans-MIDAS framework variants for neural-network-based memory management, enabling continuous learning without catastrophic forgetting via surprise-mechanism significance weighting
- Orchestrated multi-step agent workflows using LangGraph with stateful execution graphs and MCP-integrated tool access for external data retrieval and action execution
Controls Systems Engineer (Contract)
2024 – 2025AI/Automation: Automated data synthesis — ~$500K annualized savings
- Designed automated data synthesis system consolidating multiple Excel-based mapping documents into comprehensive engineering design documents, saving ~25 hrs/week per engineer (~$500K annualized)
- Assisted in controls system design and IO mapping for Intel’s upcoming semiconductor fabrication foundry
Distributed LLM Inference Cluster
2023 – PresentPersonal Infrastructure
- Architected multi-machine distributed inference system with Kubernetes orchestration, Docker containerization, load balancing, and FastAPI-served endpoints across GPU-accelerated nodes
- Deployed and optimized 10+ open-source LLMs (LLaMA 3, Mistral/Mixtral, Qwen, DeepSeek, Gemma, Phi) with air-gapped deployment configurations for secure, fully offline inference
Lead Electrical and Controls Engineer
2021 – 2024AI/Automation: Database-driven automated document generation — $150K+ savings
- Led design, integration, and testing of all Safety and Control systems for Plug’s 5MW Peachtree electrolyzer program
- Designed automated document generation system using MS Access, standardizing workflows and eliminating inconsistencies across One Lines, EIDs, Safety Circuit Diagrams, IO Lists, and FATs
- Architected centralized data management system with role-based access controls integrating disparate engineering data sources
AI Hardware Consulting
2022 – PresentFreelance (8–12 Clients)
- Designed and assembled 8–12 custom multi-GPU and NVIDIA Jetson edge AI systems for LLM inference and training, optimizing across high-throughput (RTX 4090/5090), large-scale training (RTX 6000 Pro, 48GB VRAM), and resource-constrained edge workloads
Electrical Engineer I
2020 – 2021AI/Automation: Test station automation — >$200K in savings
- Designed and integrated Raytheon’s first Automated Test Engineering station for hardware qualification; identified automation potential, presented initiative to stakeholders, and led development upon approval
- Co-developed automated test execution software and firmware enabling autonomous hardware qualification, delivering >$200,000 in labor and material savings
Self-Hosted RAG & AI Application Stack
2021 – PresentPersonal Infrastructure
- Built RAG pipelines with RAGAS evaluation (context relevancy, faithfulness, answer relevance) and LLM-as-Judge scoring, served via FastAPI with MCP tool integration and LangGraph agentic retrieval
- Deployed Dockerized AI stack (Perplexica, Paperless-ngx, Nextcloud) with GitHub Actions CI/CD and evaluation regression checks on every commit
Manufacturer Assembler Specialist
2019 – 2020- Reprogrammed and calibrated manufacturing equipment to improve Pacemaker quality and reduce production downtime through predictive failure analysis
Deep Learning Video Upscaler
2017 – 2019Neural Networks (GAN, CNN)
- Fine-tuned ESRGAN using LoRA for super-resolution video upscaling on a personally curated dataset, trained on hybrid local multi-GPU and AWS cloud infrastructure (EC2, S3)
Advanced Electrical and Systems Engineer
2025 – PresentAI/Automation: LLM-powered document generation, n8n, Microsoft Copilot AI, Azure ML Studio
- Designed AI-augmented document generation workflows using n8n pipelines and Microsoft Copilot AI, significantly reducing manual FMEA and PSA safety analysis creation time
- Built information synthesis systems leveraging LLMs and Azure ML Studio to standardize safety analysis documents (FMEA, PSA, Reliability); integrated with Azure Functions for automated report generation
- Led electrical control systems design, circuit analysis, and comprehensive safety analysis for Honeywell systems
Continuous-Learning AI Agent Memory System
2024 – PresentPersonal Research
- Implemented Titans-MIDAS framework variants for neural-network-based memory management, enabling continuous learning without catastrophic forgetting via surprise-mechanism significance weighting
- Orchestrated multi-step agent workflows using LangGraph with stateful execution graphs and MCP-integrated tool access for external data retrieval and action execution
Controls Systems Engineer (Contract)
2024 – 2025AI/Automation: Automated data synthesis — ~$500K annualized savings
- Designed automated data synthesis system consolidating multiple Excel-based mapping documents into comprehensive engineering design documents, saving ~25 hrs/week per engineer (~$500K annualized)
- Assisted in controls system design and IO mapping for Intel’s upcoming semiconductor fabrication foundry
Distributed LLM Inference Cluster
2023 – PresentPersonal Infrastructure
- Architected multi-machine distributed inference system with Kubernetes orchestration, Docker containerization, load balancing, and FastAPI-served endpoints across GPU-accelerated nodes
- Deployed and optimized 10+ open-source LLMs (LLaMA 3, Mistral/Mixtral, Qwen, DeepSeek, Gemma, Phi) with air-gapped deployment configurations for secure, fully offline inference
Lead Electrical and Controls Engineer
2021 – 2024AI/Automation: Database-driven automated document generation — $150K+ savings
- Led design, integration, and testing of all Safety and Control systems for Plug’s 5MW Peachtree electrolyzer program
- Designed automated document generation system using MS Access, standardizing workflows and eliminating inconsistencies across One Lines, EIDs, Safety Circuit Diagrams, IO Lists, and FATs
- Architected centralized data management system with role-based access controls integrating disparate engineering data sources
AI Hardware Consulting
2022 – PresentFreelance (8–12 Clients)
- Designed and assembled 8–12 custom multi-GPU and NVIDIA Jetson edge AI systems for LLM inference and training, optimizing across high-throughput (RTX 4090/5090), large-scale training (RTX 6000 Pro, 48GB VRAM), and resource-constrained edge workloads
Electrical Engineer I
2020 – 2021AI/Automation: Test station automation — >$200K in savings
- Designed and integrated Raytheon’s first Automated Test Engineering station for hardware qualification; identified automation potential, presented initiative to stakeholders, and led development upon approval
- Co-developed automated test execution software and firmware enabling autonomous hardware qualification, delivering >$200,000 in labor and material savings
Self-Hosted RAG & AI Application Stack
2021 – PresentPersonal Infrastructure
- Built RAG pipelines with RAGAS evaluation (context relevancy, faithfulness, answer relevance) and LLM-as-Judge scoring, served via FastAPI with MCP tool integration and LangGraph agentic retrieval
- Deployed Dockerized AI stack (Perplexica, Paperless-ngx, Nextcloud) with GitHub Actions CI/CD and evaluation regression checks on every commit
Manufacturer Assembler Specialist
2019 – 2020- Reprogrammed and calibrated manufacturing equipment to improve Pacemaker quality and reduce production downtime through predictive failure analysis
Deep Learning Video Upscaler
2017 – 2019Neural Networks (GAN, CNN)
- Fine-tuned ESRGAN using LoRA for super-resolution video upscaling on a personally curated dataset, trained on hybrid local multi-GPU and AWS cloud infrastructure (EC2, S3)
Impact at a Glance
Savings Delivered
LLMs Deployed
GPU Systems Built
Years Experience
Technical Skills
AI/ML & LLMs
Infrastructure & MLOps
AI Techniques
Hardware, Edge & Cloud
Languages
Education & Publications
Education
B.S.E. in Electrical Engineering
Arizona State University
Publications
Trigeminal Nerve Stimulation in Drug-Resistant Epilepsy: A Systematic Review
Clinical Neurology and Neurosurgery — April 2025
Co-authors: M.I. Jalal, A.K. Gupta, R. Singh, N.K. Gupta, B. Musmar, A. Singh, D.D. George, M.A. LoPresti, A.M. Wensel
Workforce Trends in Spinal Surgery: Geographic Distribution and Primary Specialty Characteristics from 2012 to 2017
World Neurosurgery — Sept 2021
Co-authors: M. Lane Moore, Rohin Singh, Kyli McQueen, Matthew K. Doan, Justin L. Makovicka, Jeffrey D. Hassebrock, Naresh P. Patel
Let's build something together
Open to AI/ML engineering roles, consulting, and collaboration.
© 2026 Harjiven Dodd