Jordan Segovia portrait

Hi, I’m Jordan

• AI/ML Engineer • Software • Systems • Data •

LinkedIn GitHub Hugging Face Codewars

About me

Engineer passionate about clean architecture, performance, and building enterprise scale systems that solve real problems through software, hardware and team collaboration.

Experience: 5+ years building enterprise software, including production work across AI/ML systems, backend engineering, and full-stack software development. Early programming foundation since 2009.

  • 1st Place - Harvard SEAS LLM Hackathon (AI Art Studio, 2025)
  • Harvard - Bachelor of Liberal Arts in Extension Studies, Field of Study: Computer Science, expected 2028
Contact Download CV

Projects

AI Art Studio 🏆 1st Place — Harvard SEAS LLM Hackathon

AI Art Studio — prompt to short cinematic clip

Outcome: Award Winning AI Art Studio converts a single prompt into a short cinematic clip.

Stack: Python, OpenAI, Gemini, Grok, Celery, Redis
  • Generated images and video, a narrated script, and synchronized sound.
  • Enabled content creators, storytellers, educators, and filmmakers to prototype scenes and emotions in seconds.
  • Orchestrated four task specific models for visual, narrative, audio, and QA workflows using methods grounded in 70+ of AI research.
View Proof (PDF) View GitHub Repo

Vizor – Pharmacy Verification Computer Vision for Robotics

Vizor Pharmacy Verification System project cover

Outcome: Enterprise grade computer vision and sensor fusion platform for automated pharmacy verification in robotics and medical technology.

Stack: Python, PyTorch, ConvNeXt, Sensor Fusion, FastAPI
  • Used a ConvNeXt deep learning model together with sensor data to verify medication trays, labels, and doses.
  • Achieved over 99% accuracy and latency under 100 milliseconds on GPU and Apple MPS.
  • Included a FastAPI inference service, fail closed safety logic, reproducible evaluation pipeline, model card, and dataset management.
Hugging Face Model Repo GitHub Repo

Sophia AI - A Standalone Local LLM for Technical Interview Coaching (100% Offline, No Cloud Calls)

Sophia AI project cover

Outcome: Domain specific, fine tuned Large Language Model for technical interview coaching.

Stack: Python, QLoRA, 1.5B LLM, Local Inference, Hugging Face
  • Designed to act as an expert technical interviewer for AI and ML, backend, and MLOps roles.
  • Built as a standalone 1.5B parameter neural network fine tuned with QLoRA on a proprietary Enterprise Knowledge Lake.
  • Supports local inference on Apple Silicon or NVIDIA GPUs with zero external API dependencies.
Hugging Face Model Repo GitHub Repo

MiahAI – Offline, Full-Stack AI Platform for Private Learning

MiahAI Chat Session UI

Outcome: Production ready AI learning application designed to teach instead of only handing out quick answers.

Stack: ASP.NET Core MVC, C#, gRPC, Protobuf, Python
  • Provides context grounded in proven teaching methods shaped by decades of research on how people learn and retain knowledge.
  • Designed to behave as a learning application, not a basic answer calculator.
  • Built as a private, full-stack AI platform for learning workflows.
Project Documentation (PDF)

Offline Modular Reasoning Engine: Testing Miah LLM

Modular Reasoning Engine — gRPC streaming with hot-swappable adapters

Outcome: Client agnostic LLM reasoning service with server streaming gRPC.

Stack: gRPC, OpenAI, DeepSeek, Grok, Azure APIs, ONNX Runtime, TensorRT, SQLite
  • Built hot swappable model adapters for OpenAI, DeepSeek, Grok, Azure APIs, and a local AI Miah LLM.
  • Supported local model execution via ONNX Runtime and TensorRT for LLMs with SQLite session memory.
  • Shipped health and readiness endpoints, structured logging, unit tests, and a Python client.
Watch Demo Project Documentation (PDF)

Experience

Education

  • Harvard University — B.L.A., Extension Studies (CS)
    Harvard Extension School
    Expected 2028
  • Harvard SEAS — Large Language Models: From Transformer Basics to Agentic AI (Professional Program)
    Harvard John A. Paulson School of Engineering and Applied Sciences
    Oct 2025
  • HarvardX — Machine Learning and AI with Python Professional Certificate
    HarvardX
    2025
  • HarvardX — Computer Science for Artificial Intelligence Professional Certificate
    HarvardX
    2025
  • TrueCoders — Full-Stack Software Engineering Certificate
    TrueCoders
    2024–2025
  • Cuesta College — General Education(Math)
    Cuesta College
    2013–2015

Professional Experience

  • Founding AI Architect & Consultant (Contract)
    Tradora / AutoReel
    Dec 2025–Mar 2026
    • Built an AI walkaround video generator that ingests vehicle photos and outputs dealer-ready narrated clips.
    • Developed AI models, ML workflows, inference stack, C#/.NET APIs, data flows, and dealer platform integrations.
    • Reduced manual production time, cost, and external vendor dependency. Link: Tradora.AI
  • Senior ML & Backend Engineer (Contract)
    BD — Vizor Robotic Pharmacy
    Sept 2025–Jan 2026
    • Architected and deployed an industrial-grade computer vision system using a ConvNeXt backbone for robotic pharmacy dispensing verification.
    • Trained and optimized the model to 96.7% accuracy on specialized NLM pill image datasets.
    • Shipped a production FastAPI inference API with under 100ms latency for real-time robotic processing. Links: GitHub | Hugging Face
  • Software Engineer
    AffiliateBegins | Freelance
    2021–2024
    • Architected and deployed a public marketing site and membership platform for a creator business.
    • Used React, Node.js, PostgreSQL, Stripe, and REST APIs to power gated access, enrollment, and subscriptions.
    • Built content delivery and affiliate workflows. Links: AffiliateBegins.com | Membership Platform

Contact

Open to AI/ML & Software Engineer roles.

segoviajordan91@gmail.com · LinkedIn · GitHub ·