Hire the Best Systems Modeling Freelancers
in the United States

I am a highly specialized Computational Engineer operating at the intersection of Aerospace Engineering, Computer Science, and Machine Learning. I excel at translating intricate engineering logic into high-performance, automated operational strategies, ensuring rigorous standards in code validation, hardware integration, and simulation accuracy. What I Do Best: Engineering Simulation & Modeling: Deep expertise in developing parametric verification suites, automated structural/fluid load calculations, and mass estimation processes utilizing MATLAB & Simulink. AI & Machine Learning Integration: Proficient in building high-quality technical datasets, neural network training pipelines, and custom evaluation rubrics using Python (Scikit-Learn, PyTorch) and C/C++. Rapid Prototyping & Embedded Systems: Comprehensive hands-on experience taking hardware projects from concept to physical execution. Expert in CAD modeling (SolidWorks/AutoCAD), 3D printing optimization, laser cutting, and microcontroller firmware debugging. Technical Advisory & Logic Validation: Proven track record of providing code reviews and architectural troubleshooting for over 1,000+ engineering prototypes, prioritizing safety-critical execution and optimal runtime. Whether you need to build high-performance data pipelines, model complex physical systems, or validate embedded hardware logic, I deliver premium, production-ready solutions. Let’s connect to discuss your project requirements and elevate your technical infrastructure.

I build modern web applications with Django REST + React, including interactive 2D/3D experiences (Three.js / React Three Fiber) for product, architecture, and visualization workflows. I also create Python automation and CAD automation tools that remove repetitive work and make pipelines faster and consistent. What I can deliver Django REST APIs (auth/roles, CRUD, admin, file uploads) React web apps (responsive UI, forms, tables, filters, charts) 2D/3D web tools: interactive viewers, configurators, 3D scenes, 2D sketch/canvas tools (Three.js / R3F) Data + backend: PostgreSQL modeling, background jobs, caching Integrations: Stripe, email, third-party APIs Deployment: Docker, Nginx, VPS/Render/Railway Python automation: ETL, batch processing, scheduled workflows, reporting CAD automation: Rhino/Grasshopper/Blender scripting, batch export, geometry cleanup, tool development How I work Define inputs/outputs + success criteria (sample files/screenshots help a lot) Build an MVP quickly with clear milestones Deliver clean code + documentation + handoff support Send me a brief description of what you’re building (web app, 2D/3D tool, or CAD automation), and I’ll suggest the fastest approach and a clear quote.

AI Tester -Worked on Outlier AI to train and rate AI model responses for 2+ years Web Researcher -Fast yet accurate web research -Cost-effective rate -Keeps your time and money in mind during the duration of the project -Proficient in Microsoft Excel spreadsheets Data Entry -Fast yet accurate data entry -Ensures clear requirements prior to starting project -Cost-effective rate Sr. Business Analyst: -Act as a liason between business units and IT. -Document current and future state processes, with an emphasis on proper grammar and spelling -Analyze business processes and provide recommendations for improvement to increase efficiency -Elicits and communicates clear requirements to app developers -Communicate with stakeholders within the organization Data Analyst: -Work with business areas to elicit requirements and validate data upon dashboard completion -Visualize data with various charts/graphs using Excel/Power BI/Sisense platforms

Mechanical Engineer with a Master's in Computational Science and extensive experience in advanced CAD, coding in Python, R, Java, MATLAB, and image processing. Currently working as a Data Engineer at a Fortune 500 tech company, leveraging expertise in coding and data analysis to drive innovative solutions. Previously worked as a Design Engineer at a leading plastic manufacturing company, where I utilized my CAD skills to design and develop plastic products. Demonstrated ability to effectively communicate and collaborate with cross-functional teams to achieve project goals. Also worked as a freelancer, honing skills in project management and delivering high-quality work to clients.

As a driven Mechatronics Engineering student at Purdue University, I transform theoretical concepts into tangible solutions that enhance efficiency, safety, and learning in industrial environments. My expertise integrates cutting-edge AI with industrial automation, leveraging PLC systems, sensor networks, and AI tools to solve real-world manufacturing challenges. I deliver hands-on experience in designing, simulating, and deploying integrated systems from concept to operation. What I Deliver: Process Automation & AI Integration: Design and deployment of intelligent automation solutions (PLCs, HMIs, robotics) and AI-powered tools for training, optimization, and predictive maintenance. Proven example: Engineered and deployed a ChatGPT-powered interactive training cart for Purdue's Smart Manufacturing Lab. This system enables students to master complex PLC programming (Allen-Bradley, Studio 5000) and process control through AI-guided workflows, enhancing learning efficiency (e.g., reduced training time by X%, increased competency by Y% - add metrics if possible). End-to-End Industrial System Design & Simulation: Full lifecycle development including conceptualization, CAD design (AutoCAD, SolidWorks), component selection, sensor integration, control logic programming (Studio 5000), commissioning, and troubleshooting. I create realistic simulation environments for system validation, operator training, and safe troubleshooting. Data-Driven Problem Solving & Process Optimization: Application of Six Sigma methodologies (DMAIC, Root Cause Analysis) to identify bottlenecks, reduce waste, and improve quality. I leverage operational data to drive insights for continuous improvement. Proven example: Analyzed manufacturing process data, applied Six Sigma tools to identify inefficiencies, and implemented automation changes resulting in a Z% increase in throughput / W% reduction in defects (quantify impact if possible). Technical Proficiencies: PLC/HMI Programming: Rockwell Automation (Studio 5000 Logix Designer, FactoryTalk View). CAD & Design: AutoCAD, SolidWorks. Automation Hardware: Sensor integration (Vision, Pressure, Temp, Flow), Motor Controls. AI Integration: Practical LLM application (e.g., ChatGPT API) for industrial use cases. Methodologies: Six Sigma (Green Belt principles), Lean Manufacturing. Core Skills: Industrial Troubleshooting, System Simulation, Technical Documentation. Why Hire Me? I combine Purdue's top-tier engineering education with hands-on project execution. I actively bridge emerging AI technologies with industrial automation practices and am dedicated to finding efficient, data-backed solutions. I communicate technical concepts clearly for diverse audiences. Ideal Projects: Designing or troubleshooting PLC-controlled automation systems; Developing AI-enhanced tools for industrial training or diagnostics; Creating manufacturing process simulations; Optimizing processes using data analysis and Six Sigma; Developing CAD models/schematics for industrial equipment; Integrating sensor networks and data acquisition systems. Ready to leverage cutting-edge technology to solve your manufacturing or training challenges? Let's discuss how I can bring innovative solutions to your project!

Dr. Edwin Ordoukhanian is a systems engineer with background in aerospace and control engineering. He earned his Ph.D and M.Sc from University of Southern California in Aeronautics, Astronautics and Systems Engineering. He holds a Bachelor Degree in Control and Automation Engineering from National Polytechnic University of Armenia. He has published numerous papers and research reports in the area of model-based systems engineering, Unmanned Aerial Vehicles, and hardware and software testbeds. His expertise are research and analysis, model-based systems engineering, control systems, modeling and simulation, and experimentation testbeds.