Hi, I'm Zulfiqar

I am a passionate Data Scientist with expertise in multimodal processing, deep learning, and statistical modeling. My work focuses on transformative applications in Healthcare, Autonomous Vehicles, and the Media Industry. I thrive on innovation, curiosity, and solving real-world problems with cutting-edge technology.

What I Do

Innovative Solutions for Real-World Problems

Data Science & Machine Learning

🔍 Multimodal machine learning for healthcare and autonomous systems

🧠 Diffusion models, Transformers, and advanced deep learning architectures

📊 Statistical learning and time-series analysis

🩺 Biomedical imaging and signal processing

Full Stack Development

🚀 Building Generative AI applications with Next.js and Python

🌐 Developing SaaS platforms with RESTful APIs and FastAPI

💾 Implementing relational databases for secure, real-time data handling

Cloud & DevOps

☁️ Deploying scalable applications on AWS and Azure

🐳 Dockerizing applications for seamless deployment

🤖 Automating workflows with GitHub Actions

Proficiency

Machine Learning
95%
Research & Development
90%
Next.js
85%
Python
90%
Deep Learning
90%

Education

Sejong University
Graduate Research Assistant
September 2022 - February 2023Grade A

Focused on deep learning applications for biomedical imaging and 3DNet algorithms. Developed innovative solutions for medical image analysis.

    COMSATS University Islamabad
    Master of Science in Applied & Computational Mathematics
    September 2017 - August 2021Grade A

    Specialized in Bayesian algorithms, optimization, and statistical machine learning. Completed thesis on computational methods for biomedical signal processing.

      Experience

      /img/icons/common/pid.jpg

      Press Information Department, Government of Pakistan

      Data Scientist/Analyst
      April 2023 – Present
      Lead data scientist responsible for developing NLP-powered audio-visual transcription systems and social media analytics platforms. Implemented computer vision models for content moderation and public sentiment analysis.
        /img/icons/common/Sejong_University.png

        Sejong University

        Graduate Research Assistant
        September 2022 - February 2023
        Developed state-of-the-art deep learning models for biomedical imaging applications. Published research on 3D volumetric analysis techniques for medical diagnostics.
          /img/icons/common/ncai.png

          NCAI SmartCity Lab

          Deep Learning Research Engineer
          September 2021 – June 2022
          Engineered computer vision solutions for autonomous vehicle safety systems. Implemented driver behavior prediction models using multimodal data inputs.
            /img/icons/common/edureka.jpg

            Edureka

            Machine Learning Intern
            June 2017 – September 2018
            Gained hands-on experience with supervised learning algorithms through practical projects and Kaggle competitions. Developed predictive models for various business applications.

              Projects

              Multimodal Postpartum Depression Detection

              Developed a deep learning framework that analyzes speech, text, and physiological data to detect postpartum depression with 92% accuracy. This project has potential applications in telehealth and mental health monitoring.

              Demo

              AI-Form Builder

              Created an AI-powered form generation tool using Next.js and Google Generative AI APIs. The platform reduces form creation time by 70% for enterprise users.

              Demo

              Generative AI SaaS Platform

              Built a comprehensive SaaS application leveraging BERT and diffusion models for various generative AI tasks. The platform supports text-to-text, text-to-image, and text-to-video generation with customizable parameters.

              Demo

              Violence Analytics Dashboard

              Developed a web application for analyzing Twitter data related to violence extremism. Implemented advanced NLP techniques for sentiment analysis and geolocation mapping to identify patterns and hotspots.

              Demo

              Our Clients Feedback

              Ajang

              Geo-Scientist

              Zulfiqar's analytical skills and teaching methods are exceptional. I learned a lot from his insights.

              Dr. Sarah Kim

              Professor of Biomedical Engineering

              Zulfiqar demonstrated remarkable innovation in his approach to biomedical imaging problems. His work has significantly advanced our research capabilities.

              Mohammed Khan

              CTO, InnvoAI

              Zulfiqar's technical expertise and ability to deliver complex AI solutions under tight deadlines has been invaluable to our team.

              Get in Touch!

              I am currently seeking fresh opportunities and welcome messages in my inbox. Whether you have inquiries, job prospects, or simply want to connect, I ' ll make sure to respond promptly!

              Applied Data Scientist||Mathematician||FARM Stack Developer||GenerativeAI||LLM

              Islamabad Pakistan