Austin, TX · Open to relocation / travel

Jesse Montemayor

Forward Deployed Engineer

I embed with customers, find the real workflow problem, and ship working software against it. 8+ years of enterprise technical sales and solution engineering across storage, cloud, and SaaS, now paired with hands-on Python, FastAPI, and applied-AI engineering.

See the work Get in touch

[email protected] / github.com/JGM-droid / linkedin.com/in/jessegmontemayor

Projects

Shipped, working, open source

Every project here is real code in a real repository — not a mockup.

Flagship

RepoTriage AI

Governed, evidence-backed GitHub issue triage platform

Built specifically to develop hands-on depth for Forward Deployed Engineer and AI Solutions roles. React + FastAPI app with Retrieval-Augmented Generation over PostgreSQL/pgvector, tenant-scoped RBAC, Celery/Redis background workflows, and full OpenTelemetry + Prometheus observability — with a human always in the approval loop.

ReactFastAPIRAG + pgvectorCelery/RedisOpenTelemetryDocker Compose

View repository → ▶ Watch walkthrough

Custom Meta AI Glasses

Persistent AI project assistant / multimodal wearable AI

A local-first AI assistant with application-owned context — not model conversation memory. FastAPI backend with deterministic context retrieval and multimodal Investigation workflows that fuse screenshot evidence and spoken context into concise, glasses-ready guidance.

PythonFastAPIOpenAI multimodalSession memory

View repository →

Complete MLOps Pipeline

Production-style, end-to-end ML system

Production-style end-to-end MLOps pipeline featuring MLflow experiment tracking, DVC + AWS S3 data versioning, GitHub Actions CI/CD, and Evidently drift monitoring.

PythonMLflowDVCGitHub ActionsEvidently

View repository →

Decision Intelligence Engine

CIFAR-10 deep learning capstone

End-to-end image classification system with a deterministic TensorFlow data pipeline and transfer-learning architecture — configuration-driven preprocessing, augmentation, and model comparison.

TensorFlowTransfer learningDeep learning

▶ Watch demo

Also on GitHub: Megaline Plan Recommendation Engine · Bank Customer Churn Classifier · Megaline Revenue Analysis (EDA) · Instacart Market Basket Analysis (EDA)

Experience

Enterprise track record

A decade in enterprise technology sales and solution engineering, across SaaS, cloud, and infrastructure — the customer-facing foundation this pivot is built on.

Sales Specialist / Sales Executive

Mar 2021 – Apr 2022

BILL.com · Houston, TX

Sold SaaS accounts-payable automation through consultative discovery and tailored demos focused on reducing manual AP workflows.
Consistently achieved 100% quota attainment; trained junior BDRs on prospecting, discovery, cold calling, and pain-point identification.

Technical Sales Specialist — Storage / Hybrid IT

Jul 2018 – Feb 2021

Hewlett Packard Enterprise · Dallas–Fort Worth, TX

Subject-matter resource for enterprise storage and hybrid IT, focused on HPE Nimble; positioned against Dell EMC, NetApp, Nutanix, Pure Storage, and AWS.
Partnered with field/inside sales, channel partners, and VARs to develop opportunities; consistently exceeded sales targets and trained sellers on technical positioning.

Client Executive

Jan 2016 – Apr 2018

Sirius Computer Solutions · Dallas–Fort Worth, TX

Managed consultative sales engagements spanning enterprise infrastructure, cloud, virtualization, storage, security, and data center solutions.
Aligned customer requirements with multi-vendor solutions from Cisco, Dell EMC, HPE, IBM, Microsoft, NetApp, Oracle, Red Hat, and VMware.

Inside Sales NetApp Specialist

Feb 2015 – Dec 2015

Sirius Computer Solutions · Dallas–Fort Worth, TX

Specialized in enterprise storage/data center solutions, conducting discovery with IT leaders and partnering with engineering resources on NetApp, EMC, HPE, Dell, and IBM opportunities.

Why Forward Deployed

Enterprise credibility. Engineering hands.

8+ years running discovery, demos, and competitive positioning inside enterprise accounts at HPE, Sirius Computer Solutions, and BILL.com — I know how to sit with a skeptical technical buyer and figure out what actually has to be true for a deployment to work. Over the past year I taught myself to build, not just sell: Python, FastAPI, multimodal LLM integration, and applied ML, shipped as working code. That combination — customer-facing instincts plus hands-on delivery — is the muscle forward deployed work requires.