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Joshua – Python, AWS, LLM, experts in Lemon.io

Joshua

From United Statesflag

AI Engineer|Strong senior
Back-end Web Developer|Strong senior

Joshua – Python, AWS, LLM

Joshua is a Senior Backend and AI Engineer with a strong focus on system architecture, applied AI, and real-world product delivery. He brings deep experience in building and scaling robust backend systems, with particular strength in designing LLM-powered applications using vector databases, RAG pipelines, and modern infrastructure patterns. Experienced in tools like LangChain, Bedrock, and OpenAPI, Joshua is comfortable navigating CI/CD, Kubernetes, and AWS and GCP environments. He has held lead roles across multiple teams and has experience as a public speaker at industry conferences.

8 years of commercial experience in
Accounting
AI
Data analytics
E-learning
Fintech
Govtech
Hospitality
Machine learning
Real estate
Sales
Video production
Data monetization
Geospatial software
Mobile apps
SaaS
Video streaming software
Main technologies
Python
20 years
AWS
12 years
LLM
4 years
Additional skills
Next.js
Nest.js
OpenAI
Kubernetes
LangChain
GCP
Clojure
Firebase
Django REST
Apache Airflow
SQLAlchemy
Terraform
Terragrunt
React
Swift
Direct hire
Possible
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Experience Highlights

Tech Lead
Sep 2023 - Jan 20251 year 4 months
Project Overview

The premier hospitality provider for significant, high-profile sporting events, including the Super Bowl, FIFA World Cup, and the Summer and Winter Olympic Games. Specifically for the Olympic Games, the product's web experience allows guests to choose a hotel, travel accommodations, and several events they would like to attend. It prepares a custom-built package, arranging all the bookings, ticketing, and payment.

Responsibilities:
  • Architected custom blue/green deployment strategy to prepare for replacement of the legacy cart and checkout system;
  • Introduced a new checkout system in time for the initial sale of Milan 2026 Winter Olympics priority access;
  • Assembled and led a team for the implementation of a custom hospitality package shopping cart;
  • Implemented custom integration middleware to connect the shopping cart with the B2B booking software;
  • Coordinated integration of cart with e-Commerce catalog app;
  • Led planning and retrospective meetings;
  • Managed the schedule and expectations with a larger organization.
Project Tech stack:
Next.js
Nest.js
Tech Lead
Jun 2023 - Sep 20233 months
Project Overview

An early-stage prototype of LLMs to augment and process unstructured notes for sales professionals, generating shareable assets describing opportunities, key decision makers, and pitch meetings.

Responsibilities:
  • Developed mobile application to interface with OpenAI APIs and custom LLMs;
  • Deployed and maintained custom Large Language models;
  • Implemented admin interface for training and evaluation of LLMs;
  • Engineered prompts for tool calling and structured data output.
Project Tech stack:
React Native
React
OpenAI API
Python
Tech Lead
Dec 2021 - Jun 20231 year 5 months
Project Overview

The product provides a way for users who cannot attend one of the many company-sponsored conferences to still benefit from the content of the talks provided. For a fee, users can access videos from every past conference and attend future conferences virtually.

Responsibilities:
  • Developed and deployed a video ingestion pipeline;
  • Added user accounts and Firebase authentication to a previously unauthenticated app;
  • Enabled sharing, favoriting, and note-taking on video content;
  • Synchronized account status between video library and CRM;
  • Implemented video streaming for live playback.
Project Tech stack:
Clojure
Firebase
Cloud Firestore
GCP
Staff Software Engineer
May 2021 - Dec 20217 months
Project Overview

An application designed to motivate renters to pay their rent electronically and reward them for doing so. It integrates with a wide range of property management software, giving landlords key insights into how and when renters pay their rent, and helps renters plan their finances accordingly.

Responsibilities:
  • Implemented a custom data importer for Yardi data via SOAP;
  • Deployed Apache Airflow to manage periodic data migration and import tasks;
  • Worked with the Data Science team to design a data lake for production data;
  • Oversaw and maintained multiple data pipelines to populate the DS data lake.
Project Tech stack:
Python
Django REST
Apache Airflow
SQLAlchemy
SOAP
AWS
Tech Lead
Oct 2018 - Dec 20202 years 2 months
Project Overview

This country had not updated its property tax assessment system since the 1990s. As a result of accumulating issues, it had not re-evaluated property values for tax purposes in over a decade. This project aimed to unite multiple government agencies, each with its own data sets, in order to correlate the data and process it automatically using a series of AI models. The goal was to arrive at updated assessment values, which then needed to be communicated to the citizens.

Responsibilities:
  • Led a team responsible for coordinating every element of the massive, multi-agency ETL pipeline core to the solution;
  • Developed a web interface allowing key stakeholders insight into the running system;
  • Implemented a custom document uploader;
  • Integrated a third-party document lifecycle management system;
  • Implemented a custom state machine and deployed it to AWS;
  • Managed infrastructure for entire team (and a handful of closely aligned teams);
  • Worked across teams to transition the platform from development to production.
Project Tech stack:
Clojure
AWS
AWS Lambda
AWS SES
Java
Groovy
Terraform
Terragrunt

Education

2012
Computational Evolutionary Dynamics
PhD
2002
Chemistry
Bachelor's

Languages

English
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