STEM & Technical Support
Technical work fails in specific places: a pointer that outlives its memory, a boundary condition that over-constrains a model, a proof step that assumes its conclusion, a bibliography that will not compile. We help students, researchers and professionals find those places, understand them and build work they can defend.
Overview
This pillar brings together support for the technical layer of study and research: writing and debugging code, designing databases and documenting software; setting up engineering calculations, CAD models and simulations; writing proofs, building mathematical models and solving optimization problems; and producing the documents and records that science depends on, from LaTeX theses to journal figures and lab notebooks.
The common thread is verification. Code is checked with tests and minimal reproducible examples, simulations with mesh convergence and benchmarks, models with sensitivity analysis, figures against journal and image-integrity rules. We teach and apply these checks so that results are trustworthy and you can explain how you know.
What we deliver depends on who you are and what the work is for. Students on taught courses receive tutoring, parallel worked examples and reviews of work they produced themselves; we do not complete graded assignments, problem sets or exams. Thesis researchers receive method support and reviews, with assistance acknowledged as their institution requires. Researchers and professionals can also commission code, models, templates and figures that they own.
Who this is for
- Undergraduate and master's students in computer science, engineering, mathematics and the sciences
- PhD students and postdocs whose research depends on code, simulation, modeling or complex documents
- Researchers in other fields (health, economics, social science) who need programming, optimization or figure support
- Principal investigators and research groups standardizing templates, figures and data organization
- Professionals learning a technical tool or prototyping a model before wider rollout
Where to start
Pick the situation that sounds most like yours.
- My Python, Java or C++ code runs but I don't understand why it fails on some inputsProgramming help
- I can't work out the time complexity of an algorithm or find a bug in my logicAlgorithms & debugging
- My capstone or research software needs UML diagrams, a README and proper documentationSoftware projects & docs
- I need to design tables and relationships for a database, or understand normalizationDatabase design
- I'm stuck on statics, circuits, thermodynamics or material balancesEngineering & calculations
- My ANSYS or SolidWorks simulation gives results I don't trustCAD & simulation
- I'm taking my first proof-based math course and my proofs keep getting marked downProofs & problem sets
- I need to build an ODE, Monte Carlo or agent-based model for my thesisModeling & simulation
- I have a scheduling or logistics problem to solve with Gurobi, LINGO or Excel SolverOptimization & OR
- My LaTeX thesis won't compile or doesn't meet the graduate school's formatting rulesLaTeX & Overleaf
- A journal returned my figures for resolution, format or color problemsScientific figures
- My lab data and notes are scattered and I can't trace results back to raw filesLab notebooks & data
Services by area
Programming & Computing
From a first Java class to a research pipeline in Python, programming support here focuses on understanding and quality: why code behaves as it does, how to find defects systematically, how to document a project and how to design data structures that last.
- Programming Help in Python, R, Java, C/C++, MATLAB, SQL and JavaScript “Someone to explain my code, help me find why it breaks and review what I wrote”
- Algorithm Explanation, Complexity Analysis and Debugging Support “Help understanding how an algorithm works, why it is slow, or why my program gives the wrong answer”
- Software Project Guidance and Technical Documentation Support “Help planning my software project, reviewing the design and writing clear documentation”
- Database Design Support: ER Modeling, Normalization and SQL “Help designing tables and relationships for a database, or understanding normalization and SQL”
Engineering
Engineering support that concentrates on setup and judgment: the diagram, the assumptions, the units and the checks that make a calculation or simulation trustworthy.
Mathematics & Modeling
Rigorous mathematics and applied modeling: learning to write proofs, turning real systems into models you can solve and test, and formulating optimization problems that solvers handle well.
- Mathematical Proof Coaching and Problem-Set Tutoring “Help learning how to write proofs and work through hard university math problems on my own”
- Mathematical Modeling and Simulation Support: ODEs, Monte Carlo and Agent-Based Models “Help building, solving and checking a mathematical or simulation model for my research or course”
- Optimization and Operations Research Support: LP, MILP, Gurobi and LINGO “Help formulating an optimization model and solving it with Gurobi, LINGO or Python”
Scientific Documentation
The documents and records around research matter as much as the results: a thesis that compiles and meets the rules, figures that communicate honestly, and notebooks and files that let anyone trace a result to its source.
- LaTeX and Overleaf Typesetting, Templates and Troubleshooting “Help setting up, fixing or formatting my thesis or paper in LaTeX or Overleaf”
- Scientific Figures, Schematics and Diagrams for Papers and Theses “Help making clear, journal-ready figures and diagrams from my data or sketches”
- Lab Notebook Organization and Research Data Management Support “Help organizing my lab notebook, files and research data so I can find and reuse everything”
How we approach this work
Reproduce before fixing
Whether it is a failing program, a diverging solver or a broken LaTeX build, we first reproduce the problem and reduce it to a minimal example. That isolates the cause and shows you how to do the same next time.
Verify, then trust
Every technical result is checked against something independent: tests, analytical solutions, mesh refinement, hand calculations, benchmark data or a second solver.
State assumptions and units
Engineering and modeling work lists its assumptions, sources and units explicitly, so reviewers can see where results apply and where they do not.
Leave you able to maintain it
Code, templates, figures and models come with documentation, editable sources and a walkthrough, so you are not dependent on us for the next change.
Match help to the assessment context
For graded coursework we explain and review; for research and professional work we can build. We ask early which applies.
Frequently asked questions
How is this different from programming or math tutoring?
Subject tutoring follows a course syllabus from the ground up. This pillar focuses on specific technical tasks and artifacts: debugging and reviewing code, checking a simulation setup, coaching proof writing, formulating an optimization model, fixing a LaTeX thesis or preparing journal figures. Many people use both; the first conversation helps decide which fits.
Do you work with my files directly, or only by screen sharing?
Both. Tutoring and debugging usually happen live with screen sharing or a shared editor, with you at the keyboard where possible. Reviews, templates, figures and research builds are done on files or repositories you share, then explained in a walkthrough.
What if I use software you don't list?
Tell us. Many problems are about concepts that transfer across tools, such as numerical stability, formulation, meshing or document structure. If a question depends on a tool we do not know well enough, we say so before starting rather than learning on your time.
Can you sign off engineering calculations or designs?
No. Our engineering support is educational and research-focused. Designs that will be built, installed or operated must be checked and approved by a licensed or chartered engineer under the applicable codes.
How do you handle confidential code, data or unpublished results?
Files are used only for your request and not reused elsewhere. We can work from anonymized or synthetic samples, private repositories or restricted shares, and sign a confidentiality agreement. Tell us about any export control, patent or ethics restrictions at the start.
What affects the cost of technical work?
The main factors are the format (live sessions, written review or a build), the size and condition of the code, model or document, specialized software or computing needs, and how much documentation and verification you want. We quote after seeing a short description and, ideally, a sample file.
Tell us what you need help with
Describe your project, stage and deadline. We’ll reply with the right service, what we need from you and a quote — no obligation.