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Features
What I Do
AI Engineer
As an AI Engineer, I design and build intelligent systems that solve real business problems. I collect and clean data, choose and train suitable models (from classic ML to deep learning), evaluate them with clear metrics, and turn prototypes into usable tools or APIs. I explain results in simple terms, ensure data privacy and testing, and work with teams to integrate models into products so clients get reliable, useful solutions.
Generative AI Engineer
As a Generative AI Engineer, I create and fine-tune models that generate text, images, or audio to meet client needs. I prepare training and prompt datasets, craft effective prompts, and tune models for quality and cost. I add safety filters and guardrails, deliver demos, and integrate generation into apps via APIs. I help clients automate content, produce creative assets, summarize information, and rapidly prototype new product ideas.
Agentic AI Engineer
As an Agentic AI Engineer, I build autonomous agents that plan, act, and adapt to complete multi-step tasks on behalf of users. I design the agent’s decision loops, connect tools and APIs, set safety rules and human-in-the-loop checkpoints, and test agents in safe sandboxes. I monitor behavior, log actions, and refine strategies so agents are reliable and aligned. I help clients automate complex workflows, research tasks, and orchestrate multi-service processes safely.
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My Portfolio
02+ Years of Experience
My Resume
2023 - Present
Experience Background
Software Engineer
Arbisoft (Jun 2024 - Present)
Hybrid
- Contributed to code reviews and software architecture decisions.
- Nominated as a Core Contributor in the OpenedX project.
- Maintaining several repositories in the OpenedX project.
- Collaborated with cross-functional teams to debug and maintain backwards compatibility for deprecated features.
IC Design Intern
Xcelerium (Feb 2024– Mar 2024)
Hybrid
- Researched and implemented vector load-store mechanisms in memory subsystems.
- Worked with RISC-V crypto instruction set to optimize hardware design for performance.
Machine Learning Intern
CodSoft (Aug 2023)
Remote
- Built ML models for movie genre classification, spam SMS detection, and customer churn prediction.
- Applied data preprocessing, feature engineering, and model evaluation using Scikit-learn and Pandas.
Artificial Intelligence Fellowship
ACM – UET Lahore (Jul 2023– Aug 2023)
Remote
- Completed intensive training in NumPy, Pandas, data visualization, and ML fundamentals.
- Applied concepts in mini-projects using supervised learning and visualization tools.
2016 - Present
Education Background
MS Artificial Intelligence (Ongoing)
Lahore University of Management Sciences (LUMS) (2025– Present)
LAHORE
BS Computer Engineering
University of Engineering & Technology (2020– 2024)
LAHORE
CGPA: 3.827
FSc. Pre-Engineering
Government College University (GCU) (2018– 2020)
LAHORE
Grade: A+
Matriculation
Government Central Model School (2016– 2018)
LAHORE
Grade: A+
2025
Certifications
Professional Generative AI Specialist Certification Program
Analytix Camp (May 2025 – Sep 2025)
KARACHI
1. Python for Data Science and Analytics: I use Python with Pandas and NumPy to Collect, Clean, and Transform Data, perform Exploratory Data Analysis (EDA), and build reproducible analysis scripts and visual prototypes. 2. SQL for Data Extraction and Manipulation: I write efficient SQL queries to Extract, Join, and Aggregate data from relational Databases, supporting reliable Data Pipelines and Model Training. 3. Foundations of Artificial Intelligence: I understand core AI concepts, problem formulation, and ethical considerations, which help me choose the right methods and design responsible AI solutions. 4. Machine Learning: I build, Evaluate, and Tune Machine Learning models (Regression, Trees, Clustering), perform Feature Engineering, and use Cross-Validation to deliver accurate, actionable predictions. 5. Deep Learning: I design and train Deep Learning models for complex tasks, manage optimization and regularization, and apply these models to problems in vision, text, and tabular data. 6. Neural Networks (ANN / CNN / RNN): I implement ANN, CNN, and RNN architectures, adapt them to task needs, and interpret model behavior for real-world applications in image, sequence, and general prediction tasks. 7. LSTM (Long Short-Term Memory): I build and tune LSTM models for time series and sequential data, applying them to forecasting, anomaly detection, and sequence prediction problems. 8. Large Language Models (LLM): I work with LLMs to Perform Understanding and Generation tasks, fine-tune models for domain needs, and evaluate outputs for quality and safety. 9. Hugging Face Ecosystem: I use Hugging Face tools for Tokenization, Fine-Tuning, and Model Serving, preparing datasets and deploying transformer-based solutions efficiently. 10. LangChain and RAG (Retrieval-Augmented Generation): I build RAG systems and agent workflows with LangChain, connecting Vector Stores and Retrieval Pipelines to improve accuracy and provide up-to-date answers. 11. Generative AI Tools: I apply Generative AI tools and Prompt Engineering to create text, images, and multimodal outputs, while implementing Safety Filters and output quality controls. 12. Streamlit for Prototyping and Demos: I build interactive web apps with Streamlit to Showcase models, create user-friendly demos, and let stakeholders explore model outputs live. 13. Power BI for Reporting and Dashboards: I combine model results with business data in Power BI to create interactive Dashboards and Reports that help stakeholders explore insights and make data-driven decisions. Verification Link: Muhammad Tayyab Tahir Certification - Analytix Camp
Supervised Machine Learning: Regression and Classification
Coursera
Remote
Advanced Learning Algorithms
Coursera
Remote
Intro to Machine Learning
Kaggle
Remote
Data Visualization
Kaggle
Remote
What Clients Say
Testimonial
ANALYTIX CAMP
Muhammad Abbas
Chief Executive OfficerGenerative AI Project Development
via Fiverr - May, 2025 - Sep, 2025I am pleased to commend Muhammad Tayyab Tahir for his strong dedication, academic excellence, and positive attitude. He consistently demonstrates a solid work ethic, intellectual curiosity, and a genuine enthusiasm for learning, contributing meaningfully to the academic environment. His proactive approach to challenges and commitment to high standards set him apart, while his supportive and collaborative nature makes him a valued member of the community. His achievements reflect his strong potential for continued success in future endeavors.
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