Muhammad Faizan Karamat--
Portfolio
Self-taught Full Stack Developer with 3+ years of experience focused on the MERN stack (MongoDB, Express, React, Node.js). I’m
passionate about crafting user-friendly interfaces using frameworks like Next.js and Svelte, prioritizing both functionality and user
experience. I also bring a strong foundation in AI (machine learning and deep learning) and DevOps/MLOps, with hands-on experience
in CI/CD pipelines to enhance development and deployment efficiency. My goal is to create scalable, innovative solutions that are as
reliable as they are intuitive.
Education
Bachelor of Artificial Intelligence (2020 – Ongoing)
National University of Computing and Emerging Sciences, Islamabad, Pakistan
Courses: Programming Fundamentals, Object-Oriented Programming, Data Structures and Algorithms, Databases, Cloud
Computing, Blockchain Development, DevOps and MLOps, Programming for AI, Artificial Intelligence, Machine Learning, Knowledge
Representation and Reasoning, Natural Language Processing, Generative AI, Artificial Neural Networks, Parallel and Distributed
Computing, Computer Networks, Digital Image Processing
Professional Experience
CarbonTeq, Lahore, Pakistan
AI Intern
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July 2024 — September 2024
Conducted data preprocessing, analysis, and feature engineering to enhance model performance across machine-learning
projects.
Developed and tested machine learning models for predictive analytics and classification tasks, collaborating with the AI team to
refine algorithms.
Created a multimodal sentiment analysis model that utilized image and caption inputs to predict sentiment accurately.
Assisted in building and deploying machine learning pipelines, integrating CI/CD practices to streamline model deployment and
monitoring.
Addressed challenges in optimizing model accuracy and computational efficiency, gaining practical experience in overcoming
real-world AI limitations.
Engaged in model evaluation and performance tuning, utilizing accuracy, precision, and recall metrics to ensure robust model
outcomes.
Built a Retrieval-Augmented Generation (RAG) system to enhance the model's ability to provide relevant and contextually
accurate responses.
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CarbonTeq, Lahore, Pakistan
Full Stack Development Intern
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July 2022 — September 2022
Developed an entirely functional DNS client that converted hostnames into IP addresses based on the structure of an incoming
query packet
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Utilized Node.js with Express.js to create RESTful APIs, ensuring high performance and scalability
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Implemented API security measures using JSON Web Tokens (JWT) for authentication and authorization.
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Configured and managed MongoDB databases for efficient data storage and retrieval, optimizing query performance by indexing
and aggregating data as needed.
Actively participated in Agile development methodologies, contributing to daily stand-ups, sprint planning, and retrospectives to
ensure timely project delivery.
Collaborated with cross-functional teams to identify and prioritize project requirements, fostering a cohesive and efficient
development environment.
Carbonteq, Lahore, Pakistan
System’s Programming Intern
January 2021 — March 2021
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Acquired valuable insights into Mips assembly language and Mars assembler
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Gained insights into x86_64 assembly language
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Strong grasp of basics in both assembly languages
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Successfully developed a grayscale image filter using x86_64 assembly and C++Expanded knowledge of low-level languages
Skills
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React
Python
HTML5
jQuery
JavaScript
MongoDB
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TailwindCSS
SQL
JSON
GitHub
Web Development
DevOps
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CI/CD
MLOps
Artificial Intelligence (AI)
Machine Learning
Natural Language Processing (NLP)
Computer Vision
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