Blog

• Autoresearch: The AI Agent That Runs Its Own ML Experiments Overnight — and Why It Matters — Autoresearch is Andrej Karpathy's experiment in letting an AI agent do science on its own: it rewrites the training code, trains a model for five minutes, checks if the result improved, keeps or discards the change, and repeats ~100 times while you sleep. Here's what it actually is, how the autonomous loop works, why its constraints are so clever, and what it tells us about the near future of engineering work.
• I Built a Self-Improving SolidWorks MCP Server: AI That Writes, Tests & Fixes Its Own CAD Macros — I built a SolidWorks MCP server that lets an AI agent write a VBA macro, run it inside live SolidWorks 2022, read the rebuild errors, fix the code, and re-run — until the model builds clean. The twist: every fixed error becomes a permanent rule, so the same mistake is never made twice. Here's how the self-improving loop works.
• AI Generative Design & Topology Optimization: The 2026 Guide for Mechanical Engineers — AI generative design lets engineers describe a part's loads and constraints and have an algorithm produce hundreds of optimized, often organic-looking shapes — frequently 40–50% lighter than a human design. Here's how generative design and topology optimization actually work in 2026, the software that runs them, real weight-saving results, and how to bring them into your workflow without an enterprise budget.
• MCP for Engineers: Connecting AI Agents to SolidWorks, ANSYS and Your CAD Stack — The Model Context Protocol (MCP) is doing for engineering software what USB did for hardware — giving AI agents a standard way to drive SolidWorks, ANSYS and Abaqus directly. Here's what MCP actually is, why it's the most important shift in CAD automation in years, and how I'm using it to turn natural-language intent into real geometry, simulations and drawings.
• Digital Twins in 2026: How FEA Simulation and AI Are Redefining Machine Design — A digital twin is no longer a buzzword — it's a working methodology that pairs FEA simulation with live sensor data and AI prediction. Here's how the convergence of ANSYS-grade simulation and machine learning is changing how machines are designed, validated, and maintained in 2026.
• Why FEA Analysis Is Essential Before Manufacturing Your Next Machine Design — As a mechanical engineer working with SolidWorks and ANSYS, I've seen costly failures that simulation could have prevented. Finite Element Analysis isn't just a checkbox — it's how you validate stress distribution, thermal behavior, and fatigue life before a single part hits the shop floor.
• Building Scalable Full-Stack Apps with the Same Precision as Engineering — From React front-ends to robust back-end architecture and cloud deployment, I apply the same structured thinking I use in CAD design to web development. Clean code, modular systems, and performance that scales — because your digital product deserves engineering-grade reliability.
• Crawl, Walk, Run: A Practical Roadmap for AI Automation in Your Business — Whether you're automating lead qualification, report generation, or internal onboarding, AI agents work best with a phased rollout. I help businesses move from manual workflows to intelligent automation — starting small, measuring results, and scaling what actually delivers ROI.
• B2B Lead Generation That Converts: SEO, Paid Ads & HubSpot in Action — Marketing isn't guesswork when you combine technical SEO, targeted paid campaigns, and CRM-driven lead scoring. As a Leadinfo Certified Partner, I build data-driven pipelines that connect visibility with qualified prospects — so your sales team talks to the right people at the right time.
• Big Data & Machine Learning in Economics and Finance Research — Dissertations and research projects demand more than spreadsheets. Using Python, statistical modeling, and ML techniques, I help researchers turn raw datasets into defensible insights — whether the domain is economics, finance, cyber security, or market behavior analysis.
• From Manual Outreach to Smart Automation: Scaling Your B2B Sales Pipeline — Outbound sales shouldn't drain your team's hours on repetitive tasks. With the right tech stack — CRM integration, automated follow-ups, and performance dashboards — you can transform SDR workflows, recover time, and focus on conversations that actually close deals.