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Schedule Interview NowMy name is Musa B. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Chatbot Development, AI Development, Machine Learning, Natural Language Processing, Django, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Multi-AI Agents, News Sentiment Analyzer - Fetch News and Determine Sentiments, Automated Document Processing with n8n, OCR, YOLOv5, Regex, EconAnalytica, Basketball Statistical Analysis Chatbot, etc.. I am based in Lahore, Pakistan. I've successfully completed 11 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
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Punjab Information Technology Board
Architected and deployed the World’s first grid search infrastructure multi-agent RAG systems, integrated tool-calling workflows and optimized p95 latency under 500ms across diverse LLMs using LangGra
Sentiment News Analyzer is a robust news analysis tool where users simply input a keyword to search for relevant news. It analyzes top-rated news channels selected from various options, such as BBC Ne
Developed an end-to-end document automation pipeline using YOLOv5, OCR (Tesseract), Regex, n8n, and FastAPI. Incoming documents from CRM/Drive are automatically fetched, parsed, and validated. Key fie
EconAnalytica | Flask, React, BERTopic, SentenceTransformer, LangChain, SQL, AWS • Developed a processing system for Hedge Fund Reports and diverse financial documents in the macroeconomics sector. •
I fine tune Large Language Models (LLMs) and develop custom Chatbots and tailored for industry-specific applications, ensuring that the functionality meets the unique needs of end-users. I optimize th
Bachelor of Computer Science (BCompSc) in Computer science
2015-01-01-2019-01-01