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INDUSTRIAL ENGINEERING × IT × ARTIFICIAL INTELLIGENCEPORTFOLIO / 2026
JEAN CARRASCO

Less friction.Better operations.Smarter systems.

I'm Jean Carrasco, an industrial and software engineer. I connect processes, data and people through technology and AI to make operations work better.

Open to projects and opportunities

INTERACTIVE MODELJC / SYS.01

An operation, connected

INPUTS
Inventory
Orders
Suppliers
ORCHESTRATIONIT + AILLMs · APIs · Rules
OUTCOMEConnected decisions

Bring sales, inventory and purchasing information together through APIs and databases.

01 / 05

From the operations floor to the software that connects it.

Industrial thinkingIT integrationAutomationAI agents & LLMs

01 / THE PERSPECTIVE

I understand the operation. I build the solution.

I've managed warehouses, supply chains and teams of up to 60 people. That experience shapes how I build technology: understand the process, find the friction and design a system the team can use, maintain and improve.

60↗

people across teams led

05/

warehouses under operational management

02/

connected disciplines: industry + software

02 / WHAT I SOLVE

Technology with an operational purpose.

Every integration starts with a question: what needs to work better?

01

Operations that flow

I map processes, identify bottlenecks and redesign workflows before automating them.

  • Continuous improvement
  • Lean
  • Supply chain
  • KPIs
02

Systems that communicate

I connect tools, databases and APIs so information reaches the right place without duplicated work.

  • APIs
  • Python / SQL
  • Workflows
  • Dashboards
03

AI that works with your team

I integrate agents and LLMs with business knowledge, human oversight and quality monitoring.

  • AI agents
  • LLMs
  • RAG
  • Automation

03 / SELECTED WORK

From the problem to the system.

Product engineering, sales automation and experience leading real operations.

PRODUCT / CONVERSATIONAL AI

QueryBay01

Business knowledge, in every conversation.

AI agents connected to messaging channels to support customer conversations and prospect management.

  • LLMs
  • WhatsApp API
  • Next.js
  • Node.js
Explore the approach

The problem

Repeated questions and context scattered across channels take time away from the team.

The intervention

A product connecting messaging, language models and support workflows. My role spans product, engineering and infrastructure.

What to measure

First response time, resolution and handoff to a person.

Visit QueryBay

DATA / SALES AUTOMATION

Data operations02

From scattered sources to a sales workflow.

Data enrichment and tool integration to coordinate prospecting and follow-up.

  • Python
  • APIs
  • Data enrichment
  • CRM
Explore the approach

The problem

Fragmented sales information makes prioritization and consistent follow-up difficult.

The intervention

Work on lead generation, enrichment, email infrastructure and pipeline optimization at Janium.

What to measure

Data quality, preparation time and follow-up continuity.

OPERATIONS / SUPPLY CHAIN

Industrial operations03

The view from the floor changes the solution.

Warehouse, inventory, maintenance and import management at Maderas América.

  • 5 warehouses
  • Inventory
  • Maintenance
  • Imports
Explore the approach

The problem

Coordinating inventory, sales and machinery requires visibility and shared accountability.

The intervention

Leading daily operations across five warehouses. This experience informs my approach to technology integration.

What to measure

Inventory accuracy, availability and fulfillment times.

04 / HOW I WORK

The process first. Then, the technology.

01

Understand

Observe the operation, talk to the team and establish a baseline.

Process map + priorities
02

Design

Define the workflow, integrations and success criteria together with the business.

Architecture + measurable scope
03

Implement

Build a pilot, test exceptions and prepare the team to use it.

Integrated system + documentation
04

Improve

Compare against the baseline, review failures and adjust using real usage data.

KPIs + continuous improvement

EXPLORE AN OPPORTUNITY

How much time goes into repetitive work?

Adjust the assumptions to estimate the time you could recover in a process. A starting point for a real conversation.

100
10 min
60%

tasks × minutes ÷ 60 × 4.33 × automatable %

43.3h

recoverable hours / month

Current workload72.2 h / month
Remaining workload28.9 h / month
Let's discuss this process

Illustrative estimate, not a guaranteed outcome. Uses 4.33 weeks/month; excludes implementation, maintenance and exception handling.

05 / EXPERIENCE

Real operations. A broader perspective.

01

QueryBay

Founder & CEO

Founded an AI automation company. I lead product, engineering and go to market, building AI agents that automate outreach and customer support for other businesses.

Sep 2025 to PresentSalt Lake City, Utah
02

Janium

VP, Data Operations

Lead the data and automation function behind outreach at scale: lead generation, data enrichment, cold email infrastructure and pipeline optimization.

Dec 2023 to PresentDenver, Colorado
03

Maderas América

Chief Operations Officer

Ran daily operations for a melamine and construction materials company: five warehouses, inventory aligned with sales, machinery maintenance and international imports.

2023Lima, Peru
04

Hidroalemana S.A.C.

General Manager

Led a hydraulic well and submersible pump company serving clients such as Alicorp and Nestlé, owning logistics, contracts, client relationships and financial oversight.

2021 to 2023Lima, Peru
05

Representaciones Peruanas del Sur

Operations Coordinator

Coordinated environmental public services for two municipal districts in Lima, leading a team of 60 and optimizing waste management and scheduling.

2018 to 2022Lima, Peru

EDUCATION

B.S. in Software Engineering

Ensign College

2024 to 2025

B.Eng. in Manufacturing Engineering

Universidad San Ignacio de Loyola

2013 to 2018

LANGUAGES

SpanishNative
EnglishBilingual
PortugueseBilingual

THE NEXT STEP

Your operation can work better.

Tell me where work gets stuck. We can start with one process, one integration or a concrete opportunity to apply AI.

Let's talk
Projects · Consulting · Career opportunitiesINDUSTRY + TECHNOLOGY + AI