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Schedule Interview NowMy name is Muhammad M. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Software Development, SaaS Development, Web Development, Web Application Development, Scripting, etc.. I hold a degree in Bachelor's degree, High school degree. Some of the notable projects I’ve worked on include: Web Based RAG System with PDF + Google Search Q\&A, AI-Powered Smart Contract Analyzer with LLMs & RAG Using Flask & Azure, OpenAI GPT4-Based Crypto Trading Chatbot with Live Swap Insights, BOT that generate PASF in Google and train GOOGLE daily, Automated Goal Based Trading System with Session Control, etc.. I am based in Jahanian, Pakistan. I've successfully completed 17 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
Main technologies
1 year
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Potentially possible
Techlogix
A web Flasbased RAG system for answering questions over PDF documents, enhanced with real time Google search. Built with Flask, LangChain, and Ollama-hosted LLMs, it supports PDF uploads, vector based retrieval (via Chroma), and async response generation. Google results are scraped and ranked, enriching answers with live web data. Features include real-time streaming, optional text-to-speech, responsive UI, secure file handling, and session management ensuring usability, extensibility, and robust performance.
Developed a secure AI-powered web portal for contractors to upload and analyze construction contract documents. Used Python (python-docx, PyMuPDF) for text extraction, vectorization for RAG with LLMs (DeepSeek or Llama 3.2), and Flask with HTML/CSS for the dashboard. Generated risk insights and Excel reports using pre-defined claims. Integrated chatbot for document-based queries. Deployed on Azure with a scalable backend, focusing on performance, security, and future enhancements.
Developed an AI-powered crypto swap assistant using OpenAI's GPT4, fine-tuned for retrieval and Q&A tasks. Built a real-time chatbot with Flask, WebSockets, and a LangChain agent for accurate, streaming word-by-word responses. Integrated data from Mempool, LiFi, DeFiLlama, and Etherscan to enhance trading insights. Refined prompt engineering for improved swap recommendations and optimized front-end UX with HTML, CSS, and JavaScript for seamless user interaction.
This project builds an automation bot that mimics real user behavior to influence Google's PASF (People Also Search For) and PAA (People Also Ask) features. By using targeted short- and long-tail keywords, the bot shapes SERP results, guiding Google's perception of relevance. It performs automated searches, clicks specific links, and mimics natural actions like scrolling or pausing. Running through Incogniton browser with Oxylabs rotating proxies, it ensures anonymity while training Google daily to favor chosen keyword clusters.
This project sets up a structured daily trading system with customizable features. It operates on preset daily goals either profit or loss. Once a goal is hit, trading stops for that session or the entire day. Each day is split into three sessions, each with its own start/end time, balance percentage, and win/loss targets. The default time zone is UTC+3, but users can adjust it. All settings are pre-configured yet fully customizable, allowing users to adapt the system to their trading strategy and risk preferences.
Bachelor's degree in Computer science
2020-01-01-2024-01-01
High school degree in ics
2018-01-01-2020-01-01