NN

Passion Fuels Purpose! 

BIOGRAPHY

I am Nabeel Nasir, the Founder of codSeed, where I lead the development of innovative SaaS and AI products. With a robust background in product management and a specialization in generative AI, I have successfully overseen the creation of over 17 SaaS solutions and 15 AI-driven products for a diverse clientele. My role involves guiding teams through complex projects, from conceptualization to implementation, ensuring that each product is both cutting-edge and user-centric.

My academic journey includes a Diploma of Data Science from AtomCamp, where I completed a significant master's project on deep learning, developing a novel neural network architecture for natural language understanding. This project not only enhanced my technical expertise but also showcased my ability to contribute to advancements in AI technology. Additionally, I hold a Bachelor of Science in Electrical & Electronics Engineering from COMSATS University, which provided me with a strong foundation in engineering principles and practical applications.

My passion for technology and innovation drives me to continually explore new advancements and apply them to solve real-world problems. Whether through leading teams, developing groundbreaking products, or sharing knowledge as a Teaching Assistant, I am committed to making a significant impact in the fields of SaaS and AI.

Nabeel Nasir
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satisfied clients

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Projects completed

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Years of experience

Skills

Web
HTML
CSS
SCSS
Python
JavaScript
ReactJS
NextJS
ExpressJS
Github
Web Design
Figma
Firebase
MongoDB
FramerMotion

Experience

  • Lead Software Engineer @WeAreCasus

    Mar 2024-Present | France (Remote)

    As Lead Software Engineer at WeAreCasus, I architected and deployed a RAG-based tax‑lawyer assistance system using Python, Django, Pinecone, and OpenAI, improving answer accuracy by 35%. I also developed the Startup Manager pitch‑deck generator with Next.js and AWS, and ensured scalability via DynamoDB and Lambda.

  • Senior Software Engineer @codSeed

    Apr 2023-Mar 2024 | Australia (Remote)

    At codSeed, I delivered and maintained Machador, a high‑traffic LLM UI with 10k DAU, built the Artifact image‑processing fraud detection pipeline, and engineered the DealsBajaar recommendation engine using NLP and vector embeddings—boosting click‑through by 30%.

  • Embedded Engineer @BemSol

    Jun 2022-Feb 2023 | Lahore, Pakistan

    At BemSol, I optimized embedded firmware to reduce memory footprint by 30%, developed drivers for thermal and IR sensors, created diagnostic hardware‑testing tools that cut validation time by 40%, and collaborated on PCB prototyping.

  • Freelancing @Upwork, Fiverr, Guru

    2018-Present | Remote

    In my freelance work through platforms such as Upwork, Fiverr, and Guru, I have provided services for various web and mobile app development projects. My tasks included implementing features such as product recommendations and user reviews, optimizing app performance, and offering ongoing support and maintenance tailored to client needs.

  • Teaching Assistant @COMSATS University (Lahore Campus)

    Fall 2018 | Lahore, Pakistan

    As a Teaching Assistant at COMSATS University, I supported a computer programming course by helping students with assignments, clarifying concepts, grading work, and contributing to lecture preparation and course content updates.

Education

  • Bachelor of Science in Electrical & Electronics Engineering

    2018-2022 | COMSATS University, (Lahore Campus)

    My Bachelor’s degree in Electrical & Electronics Engineering from COMSATS University provided a strong foundation in both theoretical and practical aspects of engineering. The curriculum included a range of relevant courses such as Data Structures and Algorithms, which honed my problem-solving skills and ability to design efficient algorithms. Computer Systems Engineering offered insights into the architecture and functionality of computer systems, while Artificial Intelligence provided a basis in machine learning and AI principles.

  • Diploma of Data Science

    2023-2024 | AtomCamp

    During my time at AtomCamp, I completed a comprehensive Diploma of Data Science with a focus on advanced data analysis techniques and machine learning methodologies. My master's project, a significant component of the diploma program, involved developing a novel neural network architecture designed to enhance natural language understanding. This project required extensive research into existing neural network models and innovations in deep learning. I employed state-of-the-art techniques to optimize model performance, such as transfer learning and attention mechanisms, to improve comprehension and contextual understanding in natural language processing (NLP) tasks. The project not only deepened my technical expertise but also demonstrated my ability to tackle complex problems and contribute to cutting-edge developments in the field of data science.