Open to opportunities

Zeeshan Atta

@zeeshanatta

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AI and Python Engineer with 10 years of experience.

Pakistan

Message

What I'm looking for

I'm looking for a role that fosters innovation, collaboration, and ethical AI development.

I'm an AI and Python Engineer with a decade of experience in building smart, scalable solutions. My passion lies in leveraging AI, machine learning, and automation to tackle real-world challenges. From predictive modeling to deploying AI-powered applications, I thrive on transforming complex problems into impactful innovations.

Throughout my career, I've designed and implemented scalable AI models for real-time NLP applications and led teams in developing deep learning-based fraud detection systems. My expertise extends to integrating computer vision techniques into retail analytics and automating model deployment with MLOps best practices. I am committed to ethical AI development and have conducted audits and bias mitigation efforts to ensure responsible AI practices.

Experience

Work history, roles, and key accomplishments

Current

AI & Python Engineer

Current

Kavtech Solutions (Private) Ltd.

Jan 2024 - Present (1 year 7 months)

Designed and implemented scalable AI models for real-time NLP applications, optimizing accuracy and inference speed. Led a team in developing and deploying a deep learning-based fraud detection system for financial transactions.

AI NLP Deep Learning Fraud Detection LLMs)Computer Vision MLOps Docker Kubernetes AWS Sagemaker

Senior Machine Learning Engineer

SB Electronics Engineering & Control (Pvt.) Ltd.

Jan 2022 - Jan 2024 (2 years)

Developed computer vision models for object detection and facial recognition, enhancing security applications. Designed scalable ML pipelines using Apache Spark and AWS Lambda for real-time data processing.

Computer Vision Object Detection Facial Recognition Apache Spark AWS Lambda Recommendation Systems Deep Learning NLP

Software Engineer – AI & Data

Venture Data

Jan 2019 - Jan 2022 (3 years)

Built predictive models using Scikit-learn and XGBoost for demand forecasting and anomaly detection. Designed and deployed RESTful APIs to serve AI models at scale using Flask and FastAPI.

scikit learn XGBoost RESTful APIs Flask fastAPI AWS GCP Data Pipelines JavaScript

Education

Degrees, certifications, and relevant coursework

University of Engineering and Technology (UET)

Bachelor of Science, Electrical Engineering

2016 - 2020

Studied Electrical Engineering at the University of Engineering and Technology (UET) from 2016 to 2020. Focused on foundational engineering principles and their applications.