elmore.eng@gmail.com
Hi, I'm
MARK ELMORE
Backend Engineer (Python & Go)
Backend engineer with 8+ years of experience designing robust, well-tested systems in Python, Go, and Django, recently focused on deep research agents, LLM-powered applications, and high-volume billing platforms.
About
I am a Senior Full-Stack & Backend Engineer specializing in designing and delivering robust, scalable systems. I build high-performance architectures, microservices, cloud-based solutions, and enterprise-grade applications with a focus on reliability, maintainability, and efficiency.
In addition to professional engineering work, I have extensive experience in mentoring and teaching, having instructed data analytics courses at UC Davis Bootcamp and served as an Assistant Professor at UC Davis and NYU. I've led program creation, guided students, and built student management and learning system software, demonstrating strong leadership, technical communication, and full lifecycle software development skills.
I excel at transforming complex requirements into production-ready systems, optimizing performance, and implementing scalable solutions across cloud environments. Whether you need backend APIs, distributed systems, or full-stack applications, I deliver high-quality, scalable software tailored to business needs.
Over time I've worked with many stacks and tools, but the core technologies and skills I leverage most often are...
Python / Django / FastAPI
Cloud (AWS, GCP)
Docker / Kubernetes
PostgreSQL / MongoDB
Microservices
LangChain / LangGraph
REST & GraphQL APIs
CI/CD Pipelines
Message Queues
Data Pipelines / ETL
Automated Testing
Terraform
My Work Experience
Founder & CEO @ Deep Homework
January 2024 - Present
Deep Homework revolutionizes academic research with AI that thinks like a scholar. Simply ask any question, and our Plan-and-Solve system creates a custom research strategy, investigates across web sources and your uploaded materials, then delivers professional reports (300-4,000 words) with citations, bibliographies, and follow-up questions.
The application can query all contemporary LLM APIs. It can tailor responses based on specific web resources and/or local vectorized documents.
Deep Homework implements the latest in multi-agent architectures employing innovative context engineering.
Selected core technologies: WebSockets, LangChain, LangGraph, OpenAI, LangSmith, NextJS, MongoDB, FastAPI.
Selected Projects
Featured Project
Deep Homework
Deep Homework, a multi-agent deep research tool optimized for educational use cases that tailors its results to different education levels--from junior high school to graduate school. It uses the plan and solve approach to deep research agent creation. It dynamically generates its agents on the fly according to the query. It allows researching of local documents and the web or a hybrid approach.
LangChain | FastAPI | Vector Database | Generative AI | Retrieval Augmented Generation
Featured Project
FowlData
FowlData is an advanced geo-referenced data storage and mapping tool built around Django and PostGIS tailored for waterfowl hunters. This application offers a comprehensive suite of features: enabling users to log hunts with detailed spatial and weather data, share scouting and conditions reports among peers, and aggregate information from public resources.
Django | PostGIS | Amazon Web Services | User Authentication | PostgreSQL
Featured Project
Context Cleaner
Context-cleaner is a Python-based CLI and web tool that provides detailed analytics on Claude Code usage, far beyond standard token and cost metrics. It features a real-time monitoring layer powered by ClickHouse, Next.js, and Flask, enabling users to visualize and understand the full context of their coding conversations.
Python | Next.js | Docker | Kubernetes | Websockets
Featured Project
South Asian Archive
A meticulously designed data storage system with a user-friendly interface, housing a vast collection of geo-referenced images, videos, and textual translations spanning South Asian history and culture. Over the past decade, this monumental repository has introduced this invaluable material to tens of thousands of students.
Data Modeling | UX & UI | RESTful Architecture | PostgreSQL | Django
Certifications
Data Science Orientation
IBM
Issued November 2025
Tools for Data Science
IBM
Issued November 2025
Python for Data Science and AI
IBM
Issued November 2025
Databases and SQL for Data Science
IBM
Issued November 2025
Data Analysis with Python
IBM
Issued November 2025
Data Visualization with Python
IBM
Issued October 2018
Get in touch
Let's Work Together
I'm open to new opportunities, especially ambitious backend, data, or AI/LLM projects. My inbox is always open, whether you have a question, a collaboration idea, or just want to say hello.
Designed & Built By Mark Elmore