Open to opportunities

Ahmed _MARY_

@ahmedmary

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AI Engineer specializing in chatbot applications and machine learning.

Pakistan

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What I'm looking for

I seek a role that fosters innovation and collaboration, offering opportunities for growth and impactful projects.

I'm an AI Engineer with a strong focus on developing innovative solutions that enhance customer experiences and operational efficiency. Currently, I work at CortexSoft as an AI Developer, where I have engineered and deployed multiple GenAI chatbot applications, improving customer service efficiency by 40% for various client organizations. My expertise in fine-tuning Large Language Models (LLMs) has led to a 25% reduction in inference time while maintaining a remarkable 98% accuracy in specialized industry contexts.

Previously, I interned at VixionBit Solutions, where I implemented MLOps best practices that streamlined model deployment pipelines, reducing development-to-production time by 35%. I have also worked on several impactful projects, including an AI-powered customer support system that integrated with WhatsApp Business API, achieving a 40% reduction in response time and a 28% increase in customer satisfaction. My academic background in Artificial Intelligence from FAST National University has equipped me with a solid foundation in generative AI, computer vision, and machine learning operations.

Experience

Work history, roles, and key accomplishments

Current

AI Developer

Current

Cortexsoftco

May 2025 - Present (0 months)

Engineered and deployed multiple GenAI chatbot applications utilizing Retrieval Augmented Generation (RAG) frameworks, enhancing customer service efficiency by 40%. Implemented and fine-tuned Large Language Models (LLMs) for domain-specific applications, reducing inference time by 25% while maintaining 98% accuracy. Assessed and integrated advanced text-to-speech (TTS) and speech-to-text (STT) tec

GenAI Integration LLM Text To Speech Chatbot Performance Analysis

ML Intern

Vixionbit Solutions

Jun 2024 - Aug 2024 (2 months)

Implemented MLOps best practices to streamline model deployment pipelines, reducing development-to-production time by 35% and improving version control for ML models. Developed and optimized regression and classification models for an AI-powered web application, resulting in a 15% improvement in prediction accuracy and enhanced user experience.

MLOps Version Control Regression Models Classification Optimization Web Applications Prediction Accuracy

Education

Degrees, certifications, and relevant coursework

FAST National University

Bachelor of Artificial Intelligence, Artificial Intelligence

2021 - 2025

Relevant Coursework: Generative AI, Computer Vision, ML Operations (MlOps), Deep learning for Perception, Natural Language Processing, Machine Learning, Knowledge Graphs and Representation, Database, Data Structures.