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Schedule Interview NowMy name is Muhammad Umair S. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Python, C++, Golang, Tech & IT, Technical Illustration, etc.. I hold a degree in , Bachelor's degree. Some of the notable projects I’ve worked on include: AI Code Review and the Best AI Code Review Tools in 2025, RAG-based chatbot using LangChain, GPT-retransformed, Unlocking the Potential of Code Generation in Software Development, Elevating Code Quality: The Ultimate Code Review Checklist, etc.. I am based in Lahore, Pakistan. I've successfully completed 14 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
Main technologies
2 years
1 Year
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Techlogix
Wrote the article and made a comparison between the best AI code review tools in 2025
RAG-Based Chatbot Using LangChain: Key Components Document Loading: Supports PDF, CSV, DOCX with LangChain loaders. Text Splitting: Uses RecursiveCharacterTextSplitter with configurable chunk size (default 1000) and overlap (200). Embeddings: Utilizes OpenAI's text-embedding-3-small model for chunk embeddings. Vectorstore: Pinecone as the vector database; auto-creates index and stores embeddings with metadata. LCEL Chain: Implements RAG chain with ChatGPT (gpt-3.5-turbo), custom prompt templates, context retrieval, and answer generation.
This project is a Flask-based web application that leverages OpenAI's GPT-3.5-turbo models to perform various natural language processing tasks. Users can interact with the application through a web interface, where they can select a model, provide a prompt, and choose an operation (like sentiment analysis, text classification, translation, summarization, or text completion).
This blog post covers the important details and advantages of code generation using Artificial Intelligence in Software Engineering. Generative artificial intelligence (AI) solutions streamline software development by simplifying code writing for developers of varying expertise. Users can input a text prompt describing the desired code functionality, and the AI tool automatically generates the code.
Blog/Article: This is a technical blog post on Code Review Checklist. This blog equips developers to conduct thorough and effective reviews, boosting project’s overall code quality. This checklist provides a roadmap to ensure that the code is built to last.
in Writing in the Sciences
2022-01-01-2023-01-01
Bachelor's degree in Computer science
2018-01-01-2022-01-01