You will get a practical AI usage audit and action plan
Rising Talent
Project details
I will audit how you or your team currently use AI and identify where it is helping, where it is creating risk, and where it can drive real business impact.
This is not a generic AI consultation. I will review your workflows, tools, prompts, automations, data flow, team usage, product ideas, and technical direction, then give you a clear action plan based on what is realistic, valuable, and worth building.
You will get practical guidance on AI usage, workflow automation, prompt systems, internal tools, AI agents, data privacy, model selection, RAG, custom software opportunities, and implementation priorities.
The goal is simple: help you stop guessing, avoid expensive AI mistakes, and walk away with a clear plan for using AI more effectively.
This is not a generic AI consultation. I will review your workflows, tools, prompts, automations, data flow, team usage, product ideas, and technical direction, then give you a clear action plan based on what is realistic, valuable, and worth building.
You will get practical guidance on AI usage, workflow automation, prompt systems, internal tools, AI agents, data privacy, model selection, RAG, custom software opportunities, and implementation priorities.
The goal is simple: help you stop guessing, avoid expensive AI mistakes, and walk away with a clear plan for using AI more effectively.
AI Development Type
Knowledge Representation, Model TuningAI Tools
PyTorch, SonnetAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | |
Detailed Code Comments | - | ||
Knowledge Graph | |||
Model Documentation | - | ||
Ontology | |||
Source Code | - | - | |
Taxonomy |
About Jeremy
Senior Software Architect | AI Pipelines, LLMs, RAG, Full-Stack
Greenwood Village, United States - 5:54 pm local time
I'm a hands-on software architect and full-stack engineer with over two decades of Product Development across healthcare, finance, retail, and agriculture. I architect, build, and ship complete platforms end-to-end — system design, Artificial Intelligence & Machine Learning pipelines, backend services, Web Application front-ends, and native Mobile App experiences.
Most "AI projects" stall as demos. I build AI systems that survive real data, real users, and real delivery deadlines.
━━━━━━━━━━━━━━━━━━━━
⚙️ WHAT I DELIVER
🔹 AI & Machine Learning (Production-Grade)
• Local & cloud LLM orchestration (Ollama, OpenAI, Anthropic Claude)
• AI Agent Development — multi-stage agents, capability-based model routing, LLM-judge validation, retry & rewrite loops
• RAG pipelines with pgvector / Pinecone / Weaviate + semantic dedup
• AI Audio Generation — server-side TTS rendering with on-device fallback
• Computer vision: SegFormer, custom-trained YOLO, SAM, CLIP, Flux/SDXL
• Strong applied-math foundation (integral calculus, optimization, numerical methods) behind every model and pipeline decision
🔹 AI App & Backend Development
• AI App Development from concept to App Store / web release
• TypeScript & Python services — FastAPI, Node.js, RESTful API design
• DAG orchestration, BullMQ/queue workers, Postgres-backed jobs & stages
• Artifact-first pipelines, worker heartbeats, stale-job recovery, MinIO/S3
🔹 Web & Mobile Development
• Web Development with React, Next.js (App Router)
• Native SwiftUI iOS Mobile App delivery — signed media, caching, real-time sync, subscriptions
🔹 Cloud & DevOps
• AWS / GCP, Docker, Kubernetes, CI/CD, Prometheus/Grafana observability
I work fluidly with distributed, cross-border teams and have supported international development initiatives — comfortable across time zones, async-first, and clear in plain English.
━━━━━━━━━━━━━━━━━━━━
🚀 SELECTED PROJECTS
▸ Quality-Gated Real Estate Image Finishing Platform
An automated pipeline turning RAW exposure brackets into MLS-ready images with zero manual cleanup.
• TypeScript DAG orchestrator + Python CPU/GPU workers exposed via RESTful API
• Custom-trained YOLO glass/window detector fused with SegFormer + bracket-physics blowout masks
• Synthetic "flambient" relighting, constrained Flux ROI repair, super-resolution export
• Autonomous judge-and-feedback loop — every image must clear a 9.3/10 bar before delivery
✅ Result: eliminated the final human cleanup pass on hundreds of images per week.
▸ Sovereign AI Spiritual Content Platform (live on the iOS App Store)
A production autonomous engine generating fresh devotionals, prayers, audio & imagery every day.
• Local model routing (qwen3, nous-hermes, nomic-embed) with theological + quality judges
• Structured pipelines: plan → draft → validate → judge → dedupe → persist
• AI Audio Generation (Chatterbox/Kokoro) + local SDXL/Flux image rendering
• Native SwiftUI Mobile App with offline-capable inference and an engagement feedback loop
✅ Result: a self-running content + guidance ecosystem with predictable cost and full model control.
━━━━━━━━━━━━━━━━━━━━
🧰 CORE STACK
Languages: TypeScript, Python, SQL, Swift
AI/ML: PyTorch, Hugging Face, LangChain, LoRA fine-tuning, pgvector, YOLO, SegFormer, SAM, CLIP, Stable Diffusion/Flux
Backend / API: FastAPI, Node.js, Prisma, BullMQ, Postgres, Redis, RESTful APIs
Frontend / Mobile: React, Next.js, SwiftUI
Cloud / DevOps: AWS, GCP, Docker, Kubernetes, MinIO/S3, GitHub Actions
🏷️ Skills: Artificial Intelligence · Machine Learning · AI Agent Development · AI App Development · AI Audio Generation · Product Development · Web Development · Web Application · Mobile App · RESTful API · International Development · Integral Calculus
━━━━━━━━━━━━━━━━━━━━
🤝 HOW I WORK
• Architecture-first, then rapid MVP → production in weeks
• Full ownership: infra, ML, backend, frontend — one accountable engineer
• Observable systems: artifacts, metrics, graceful degradation
Whether you need an AI production pipeline, an intelligent agent, a computer-vision platform, or a seasoned architect to lead a complex build, I bring engineering rigor and product sense to every line.
📩 Tell me your use case — data sources, users, and success metrics — and I'll reply with a scoped plan within one business day.
Steps for completing your project
After purchasing the project, send requirements so Jeremy can start the project.
Delivery time starts when Jeremy receives requirements from you.
Jeremy works on your project following the steps below.
Revisions may occur after the delivery date.
Review your AI usage and goals
I will review your business context, current AI usage, tools, workflows, and goals so I can understand where AI is helping and where it may be underused or creating risk.
Identify risks and opportunities
I will look for practical automation opportunities, weak prompts, workflow bottlenecks, privacy concerns, tooling gaps, unrealistic ideas, and areas where AI can create real impact.