Position: AI Specialist
Category: Data Science
English level: fluent
Years of experience: 4

Education:
I pursued my Masters in Advanced Computer Science at the University of Essex, Colchester, UK, from 2022 to 2023. Before that, I completed my Bachelor's degree in Computer Science at SZABIST, Karachi, Pakistan, between 2015 and 2020.

Work Experience:
Innovation Intern, UST London, UK, Mar 2023 - Jul 2023
Recognized for on-time project delivery and agile methodology implementation.
Reduced development time by 20% and software bugs by 25%.

Innovation Specialist, IDENFO Karachi, Pakistan, Mar 2022 - Present
Developed OCR and CNN models with high accuracy.
Automated data tasks and improved AI performance.
Full Stack Developer, Dec 2021 - Mar 2022
Built and maintained APIs and user interfaces.

Technical Lead & Backend Developer, Feb 2021 - Oct 2021
Led development and architecture decisions.

Technical Lead & Backend Developer, TAGIZO TECHNOLOGIES INC., Nov 2019 - Feb 2022
Managed development and supported scalability.

Certifications:
I recently obtained certifications in Computer Vision, Deep Learning Model Optimization and Tuning, Machine Learning with Python, and PyTorch Essential Training in Jan 2023, all from LinkedIn Learning.

Projects:
I've had the privilege of working on various exciting projects throughout my career. These include the development of a Medical Chatbot for First Aid and Mental Health, conducting a Comparative Analysis for Customer Churn Prediction, creating an OCR system for Passport MRZ extraction, training a Deep Neural Network for a Kaggle Competition, building a system for Identity Document Detection and Validation using AI and ML techniques, and conducting a Comparative Analysis on different AI and ML techniques for Time Series Data.

Skills:
My skillset is diverse and includes Artificial Intelligence, Machine Learning, Computer Vision, NLP, CNN, RNN, TensorFlow, PyTorch, Scikit, Flask, Pandas, Data Scraping, Data Analysis, Agile Development, Software Architecture, and proficiency in several programming languages and tools. I've also gained experience in cloud platforms like AWS and GCP, containerization with Docker and Kubernetes, and have a strong background in database management with MongoDB and SQL.
Projects and Tasks Completed:

Medical Chatbot (Feb 2023): Trained an NLP model using Keras and NLTK for first aid and mental health support.

Customer Churn Prediction (Jan 2023): Conducted comparative analysis with Scikit and Keras, focusing on data preprocessing and model evaluation.

OCR for Passport MRZ (Jan 2023): Developed an OCR system for passport MRZ extraction, involving image processing.

Deep Neural Network (Dec 2022): Trained a deep neural network for a Kaggle competition, emphasizing feature engineering.

Identity Document Detection (Nov 2022): Utilized AI and ML for ID document detection and validation.

Comparative Analysis (Dec 2021): Conducted AI and ML comparative analysis for time series data.

Technologies Used:

AI and ML (TensorFlow, PyTorch)
Computer Vision
NLP
Vue.js, Node.js
MongoDB, SQL
AWS, GCP
Git, BitBucket

Current Role:

As an Innovation Specialist in AI and Computer Vision at IDENFO, I play a crucial role in designing and implementing AI solutions. I am responsible for the end-to-end development of AI and computer vision projects, from concept to production deployment. My role includes model training, data processing, and collaborating with cross-functional teams to align AI features with product goals. Additionally, I automate data tasks and contribute to research efforts to enhance model performance and accuracy.

Areas for Improvement:

Ethical AI
AI Research

Continuously improving in these areas to excel in AI projects.