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Schedule Interview NowMy name is Abdul M. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Ecommerce Website, API Integration, Software Maintenance, PHP, Website Customization, etc.. I hold a degree in Bachelor of Engineering (BEng), Master of Science (MS). Some of the notable projects I’ve worked on include: Build Own Free AI Test Case Generator Agent, Build Own Private RAG App with FREE AI from Scratch Free LLM, N8N Local to Live Linux Setup & Ngrok Tunnels, AskMyDocs – AI-Powered RAG Agent Using n8n, OpenAI & Qdrant, VapiWeatherCall – AI-Powered Weather Voice Assistant, etc.. I am based in Tejgaon Circle, Bangladesh. I've successfully completed 12 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
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eGeneration
Welcome to PlayOwnAi! Build a Free AI Test Case Generator Agent | In this step-by-step guide, we’ll build an AI-powered Test Case Generator Agent using LangChain, Ollama, Google Gemini, and Python. : ✅ Set up your environment ✅ Run Test Case Generator Agent with free local LLMs ✅ Use two LLMs in parallel (one for agents, one for tools) ✅ Replace local models with Google Gemini ✅ Gather requirements directly from PDFs ✅ Generate BDD test cases in real-time! It’s simple, smart & real-time — perfect for beginners and advanced learners.
Build a private RAG app using Ollama, LangChain, and Python in VS Code. This step-by-step guide shows how to set up your environment, ingest and chunk PDFs, store embeddings in ChromaDB, and connect a free local LLM through LangChain to enable retrieval-augmented Q&A. Includes code snippets for chunking, embedding generation, Chroma setup, LangChain chains, and a simple Flask demo. Follow the pipeline: PDF → chunks → embeddings → Chroma → Ollama → LangChain → interactive QA, so you can query documents locally and avoid LLM API fees
In this Project step-by-step tutorial, learn how to install n8n on Ubuntu Linux, set up Node.js ≥ v20, and expose your automation platform securely to the internet using ngrok — without Docker. Perfect for developers and automation enthusiasts building webhook-based workflows and smart integrations. You’ll get: A clean and reliable Ubuntu setup Global installation of n8n via npm Creation of a systemd service for persistent operation A public, secure ngrok tunnel to share or test workflows externally 💡 No Docker required — just Linux, Node, and NGRok!
AskMyDocs – AI-Powered RAG Agent Using n8n, OpenAI & Qdrant Vector Store
In this project, we’ll build a smart AI voice assistant named VapiWeatherCall using Vapi, n8n, OpenAI, and OpenWeatherMap. This workflow enables real-time weather queries through voice using AI automation.
Bachelor of Engineering (BEng) in CSE
2005-01-01-2010-01-01
Master of Science (MS) in CSE
2010-01-01-2011-01-01