Practical guides on RPA, n8n automation, LLMs, agentic AI, and full-stack web development from real projects and internships.
Lessons from progressing between an AI Intern role at Draskenlabs and an RPA Developer Intern role at Avent IQ while finishing my B.Tech CSE, and advice for CS students pursuing automation careers.
How I designed an RPA-style pipeline in Python using OpenCV and InsightFace to automatically detect, match, and sort photos by face — input, processing, decision-making, output.
How I wired the Telegram Bot API into an n8n workflow to submit job descriptions and receive real-time status notifications for AI JobCopilot.
Practical n8n patterns for automating Excel-based reporting and business workflows — reading and writing spreadsheets, triggering on file changes, and generating recurring reports without manual copy-paste.
What I learned landing an AI Intern role and then an RPA Developer Intern role as a computer science student, and the real projects and certifications that got me there.
What I learned about writing reliable system prompts while building the AI JobCopilot's resume generator and a Groq-powered chatbot for my own portfolio.
How I built Elevate Fitness, an AI-driven fitness app with Next.js App Router, Supabase, SVG-based exercise demos, and personalized workout and diet plan generation using agentic AI.
A grounded comparison of rule-based RPA (Automation Anywhere) and LLM-driven AI automation (n8n), based on real internship work at Avent IQ and Draskenlabs, and how the two approaches actually complement each other.
A walkthrough of the client-side AI chatbot widget on my portfolio site — system prompt design, Groq's API with a fallback model, and a lightweight custom markdown renderer, all without a backend.
What I learned about the Next.js App Router, Supabase auth, and building a real AI-powered app while shipping Elevate Fitness as a student developer.
How I built AI JobCopilot, a Chrome extension that extracts LinkedIn job descriptions, triggers an n8n workflow, and uses LLMs to generate tailored recruiter emails and ATS-optimized resumes automatically.
How I think about building autonomous, multi-step AI workflows using n8n, LLMs, and MCP servers — grounded in what I built for my Elevate Fitness project and my internship automation work.
A hands-on comparison of n8n, Make, and Zapier for AI and LLM-driven automation, based on building the AI JobCopilot pipeline and automating internal workflows during my internships.
How I chose between MERN and Next.js full-stack architecture while building Elevate Fitness, and what I learned about App Router, Supabase, and shipping small production apps in 2026.
How I approached building real AI and RPA automation workflows during my internships at Draskenlabs and Avent IQ, and the practical time-saving patterns I keep reusing.
I take on select freelance projects globally.