Data Scientist Senior

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SENIOR DATA SCIENTIST AND AI & ML ENGINEER

Accomplished and insightful with a decade of experience in designing and optimizing AI/ML solutions across cloud-native environments. Track record of building scalable MLOps pipelines on Azure, developing GenAI models, and productionizing LLM-based applications. Repeated success in integrating Responsible AI practices and delivering business-aligned AI initiatives that drive operational efficiency, cost reduction, and data-driven transformation. Articulate communicator and strategic thinker with expertise in generating consensus across product, security, and infrastructure teams. CORE STRENGTHS

Machine Learning & AI: Deep Learning, NLP, Computer Vision, GenAI, RAG, LLM Fine-Tuning (GPT, LLaMA, Mistral) Cloud: Azure (AKS, Databricks, ML Studio), AWS (Lambda, EC2, S3), Docker, Kubernetes, CI/CD (DevOps, GitHub) Data Engineering: ETL Pipelines, Feature Stores, SQL/NoSQL, PySpark, Databricks, Airflow AI/Governance: Bias Detection, Fairness Audit, Explainability (SHAP, LIME), Model Monitoring, Compliance (GDPR) Programming: Python, R, TensorFlow, PyTorch, Scikit-learn, FastAPI, Flask, Power BI, Tableau PROFESSIONAL EXPERIENCE

Data Scientist QNB Solutions Doha, Qatar Jul 2025 – Present

• Designed and deployed machine learning models for fraud detection, customer segmentation, and risk analytics using Azure Databricks and IBM Watson.

• Developed interactive dashboards for real-time banking operations, customer analytics, and financial insights using IBM Cognos and Power BI that improved executive decision-making.

• Decreased model deployment time by driving large-scale data preprocessing, feature engineering, and end-to-end ML pipeline development using Azure Databricks and Azure ML Studio.

• Coordinated with business and IT teams to translate banking requirements into scalable data science solutions and support compliance and decision-making.

Senior Data Scientist Jibe Solutions Remote Apr 2022 – Jul 2025

• Port Predictions Project, Mar 2022 – Present: Developed and deployed predictive models to forecast port activity and vessel arrivals, enhancing operational planning and resource allocation. Leveraged TensorFlow for advanced time series forecasting and Pandas for feature engineering that optimized scheduling efficiency and port congestion.

• Jibe Eyes Projects, Mar 2022 – Present: Led the design and implementation of an AI-powered maritime surveillance system using YOLO and OpenCV for real-time facial recognition, object detection, and anomaly tracking. Built a Flask- based web interface for live monitoring and model health checks, enabling proactive threat detection and elevating onboard security standards. Automated model maintenance and system diagnostics, ensuring continuous performance and reliability across deployments.

• Ensured production platform stability and audit compliance in collaboration with cross-functional teams and vendors.

• Automated testing, version control, and model API deployment by maintaining CI/CD workflows using Azure DevOps.

• Implemented real-time alerts for AI services using Linux scripts and Python and Automated system health checks.

• Deployed AI models as microservices on Azure AKS and managed pod failures, replica scaling, and service rollouts.

• Led MLOps strategy while ensuring 99.9% uptime and seamless model retraining using version-controlled pipelines. Senior Data Scientist GCS Pvt. Ltd Lahore, Pakistan Feb 2021 – Apr 2022

• Pakistan Railway Face Recognition-Based Attendance: Automated attendance tracking across over 50 sites by directing AI-based facial recognition attendance system for Pakistan Railways.

• NRTC Number Plates: Delivered OCR-enabled number plate detection using YOLOv4 and PaddleOCR optimized for Raspberry Pi edge deployment within fast-paced industry settings.

• Pakistan Railway Train Tracking System: Designed and implemented IoT-based real-time train tracking system with 95% location accuracy.

Doha, Qatar +974-********

***************@*****.***

linkedin.com/in/irfan-ahmed-4ba99911b

github.com/irfanahme Qatar Citizen

Irfan Ahmed

Irfan Ahmed

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KEY PROJECTS

AI Engineer No Borders Innovation Lahore, Pakistan Oct 2020 – Feb 2021

• News Recommender System: Pioneered an NLP-based engine to curate personalized news feeds. Improved user engagement by using TensorFlow and Keras for machine learning algorithm and SQL for database management.

• Instagram Chatbot: Developed an AI-powered chatbot for Instagram that integrated image captioning and automated text responses. Boosted user interaction by automating personalized responses and visual content tagging and leveraging TensorFlow and NLTK for NLP and intent recognition.

• Personal Interest Chatbot: Engineered an intelligent conversational chatbot capable of identifying user interests and adapting its tone dynamically. Integrated TensorFlow and PyTorch for deep learning, with SQL-backed data storage for personalized user interactions. Enabled more natural, human-like chat experience by implementing conversational memory and adaptive response generation.

• Developed AI models to predict the cryptocurrencies after five mins prices and architected 2-D image to 3-D mesh. AI Engineer Innovative Solutions Karachi, Pakistan Sep 2019 – Sep 2020

• AI Chess: Built reinforcement learning–based AI chess engine using DQN and CNN architectures in TensorFlow. Trained model to autonomously learn strategic gameplay, outperforming established AI systems, including AlphaZero and Leela Chess Zero in simulations.

• News Revealer: Designed AI-powered fake news detection tool leveraging the Grover model and TensorFlow for credibility analysis. Built Flask-based web interface enabling real-time verification of news authenticity. Optimized data handling with Pandas and SQL to deliver accurate credibility scoring and seamless user experience.

• Stock Prediction: Developed a deep learning model using RNN and LSTM architectures to forecast stock prices at 15-minute intervals. Deployed system on NVIDIA V100 GPUs for high-performance computation and integrated a Flask web dashboard for real-time predictions. Improved short-term forecast accuracy and provided financial insights. Data Scientist Techlets Islamabad, Pakistan Nov 2018 – Sep 2019

• Increased conversion rates by developing and delivering advanced AWS SageMaker-based recommendation system.

• Reduced manual effort/human intervention by 50% by driving automation of multi-source data ingestion pipelines. Data Analyst TeqBrains International Lahore, Pakistan Dec 2017 – Nov 2018

• Developed and presented design-build approaches, critical path schedules, and project basis of design documentation with a focus on consistent milestone delivery.

• Analyzed national election datasets and delivered insights adopted in voter engagement strategy. EDUCATION & CERTIFICATIONS

MS Data Science, University of Engineering & Technology (UET), 2025 BS Software Engineering, University of Gujrat

Microsoft Certified: Azure Data Scientist Associate, Coursera IBM Advanced Data Science Specialization

Deep Learning Specialization, Andrew Ng, Coursera

Applied Data Science with Python, University of Michigan Statistics & Probability in Data Science, Coursera FakeXpose – Deepfake Detection Platform

• Built a PyTorch-based multimodal deepfake detection backend integrating audio and video verification models.

• Achieved +90% detection accuracy by deploying on AWS SES & SQLite backend with OTP-secured access. Text-to-Voice System:

• Designed DCTTS-based speech synthesis model using PyTorch & Flask and produced natural speech outputs for audiobook applications.

ID Verification Web App

• Developed and delivered real-time ID and facial matching platform by leveraging TensorFlow, EasyOCR, and Flask. Centralized Data & Zakat Automation (Banking)

• Achieved 99% data uptime and automated compliance validation by building ETL and ML-based monitoring pipelines.

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