Aftab Ahmad — AI Researcher

Aftab Ahmad is Senior AI Engineer specializing in Computer Vision, Deep Learning, and Generative AI, with a strong track record of building scalable, production-ready AI systems that operate reliably in real-world environments. I work across the entire AI lifecycle—from problem formulation and data strategy to model development, MLOps, deployment, and monitoring. My experience spans real-time video analytics, object detection, person re-identification, OCR, monitoring systems, and LLM-powered applications, with Python as the core language behind every solution I build. I regularly design and deploy AI-powered APIs and services using FastAPI, enabling efficient model inference, orchestration, and integration with downstream systems. I’m comfortable building modular, well-documented APIs that support real-time and batch inference, authentication, background tasks, and scalable deployment. I move fast without sacrificing reliability. I handle complex, multi-technology systems, make architectural decisions, and focus not just on model accuracy, but on latency, scalability, fault tolerance, and long-running stability in production environments. Core areas of expertise: Computer Vision & Deep Learning: YOLO-based detection, CNNs, transformers, feature extraction, multi-camera, and real-time pipelines Generative AI & LLMs: chatbots, RAG pipelines, embeddings, intelligent automation MLOps & Deployment: experiment tracking, model versioning, CI/CD, containerized deployments, monitoring Backend & APIs: FastAPI-based AI services, inference pipelines, system integration Python Engineering: clean, maintainable, production-grade codebases I have hands-on experience taking AI systems from prototype to production, maintaining them over time, and improving them based on real operational feedback. I work well with cross-functional teams and take ownership end-to-end. I also share real-world AI insights through writing on Medium, focusing on practical system design and deployment lessons. I’m driven by building AI solutions that scale, perform, and deliver impact beyond experimentation.

Stackforce AI infers this person is a Backend-heavy Fullstack AI Engineer specializing in Computer Vision and MLOps.

Location: Islāmābād, Pakistan

Experience: 8 yrs 6 mos

Skills

Artificial Intelligence (ai)
Computer Vision
Deep Learning
Machine Learning
Data Science

Career Highlights

Expert in building scalable AI systems.
Proficient in Computer Vision and Deep Learning.
Strong experience in MLOps and deployment.

Work Experience

Xsol AI

AI Engineer (1 yr 6 mos)

SAINCUBE

Artificial Intelligence Engineer (8 mos)

Fiverr

Data Science and Machine Learning Engineer(https://www.fiverr.com/s/WE6rXkX) (7 mos)

Rawalpindi polytechnic institute.

Electronics Instructor (2 yrs 3 mos)

Crestech IT

Network Engineer (3 mos)

UET Peshawar

Telecommunication Engineer (4 yrs 2 mos)

Education

BSc Telecommunication Engineering at UET peshawar

Aftab Ahmad

AI Researcher

Islāmābād, Pakistan8 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable AI systems.
Proficient in Computer Vision and Deep Learning.
Strong experience in MLOps and deployment.

Stackforce AI infers this person is a Backend-heavy Fullstack AI Engineer specializing in Computer Vision and MLOps.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Computer VisionDeep LearningMachine LearningData Science

Other Skills

Program CreationPython (Programming Language)EDA(Exploratory Data Analysis)Emerging TechnologiesLangChainLarge Language Models (LLM)Long Short-term Memory (LSTM)MatplotlibNatural Language Processing (NLP)Knowledge EngineeringWeb ScrapingData AnalysisSeleniumPandasTensorFlow

About

Experience

8 yrs 6 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 6 mos

Current Experience

Xsol ai

AI Engineer

Nov 2024 – Present · 1 yr 6 mos · Islamabad, Islāmābād, Pakistan · On-site

working as a ai engineer with the diverse understanding of computer vision deep learning

Program CreationPython (Programming Language)Artificial Intelligence (AI)Computer VisionData ScienceEDA(Exploratory Data Analysis)+7

Saincube

Artificial Intelligence Engineer

Jul 2024 – Mar 2025 · 8 mos · Islamabad, Islāmābād, Pakistan · On-site

Understanding artificial intelligence and its applications
Introduction to deep learning and neural networks
implementation of YOLO v8 model for Pose detection.
Developing an Annotator using Yolo v8
Solid understanding of computer vision concepts, including image processing, object detection, and feature extraction.
Experience implementing and fine-tuning deep learning models for computer vision tasks using frameworks like TensorFlow or PyTorch.
Knowledge of image segmentation techniques and their applications in computer vision projects.
Familiarity with popular computer vision datasets and the ability to preprocess and augment data for training.
Proficiency in using image and video processing techniques to extract meaningful insights from visual data.
Strong problem-solving skills, with the ability to troubleshoot and debug computer vision algorithms and applications.
Experience with various computer vision tasks, such as object tracking, facial recognition, and image enhancement.
Awareness of best performance optimization and memory management practices for efficient computer vision applications.
Introduction to CNNs and their applications in computer vision
Building and training a CNN for image classification tasks
Transfer learning with pre-trained CNN models
Introduction to NLP and its challenges
Building text classification models using recurrent neural networks (RNNs) and LSTM
Word embeddings and text generation
Integrating a trained deep learning model into a Django project
Handling user input, making predictions, and displaying results
Overview of deployment options for deep learning models (local, cloud, containers)
Deploying a Django application with a deep-learning model
Scaling considerations and optimization techniques
Generative Adversarial Networks (GANs) and their applications
Reinforcement Learning fundamentals
Exploring cutting-edge research and developments in deep learning.

Python (Programming Language)Knowledge EngineeringMachine LearningWeb ScrapingArtificial Intelligence (AI)Large Language Models (LLM)+8

Fiverr

Data Science and Machine Learning Engineer(https://www.fiverr.com/s/WE6rXkX)

Dec 2023 – Jul 2024 · 7 mos · Islāmābād, Pakistan

I specialize in leveraging Python programming and a wide array of libraries to tackle complex data challenges and deliver impactful results.
As a seasoned data scientist, I have a proven track record of conducting comprehensive exploratory data analysis (EDA) to uncover hidden patterns and trends within datasets. From analyzing tabular data like the Titanic dataset to handling intricate image datasets, I am adept at applying advanced statistical techniques and visualization tools to extract meaningful insights.
In addition to my expertise in data science, I have extensive experience in machine learning and deep learning techniques. Leveraging libraries such as TensorFlow, Keras, Scikit-Learn, and PyTorch, I have developed predictive models that drive informed decision-making and deliver tangible business outcomes. Whether it's building classification models, regression models, or neural networks, I thrive on pushing the boundaries of what's possible with AI.
Some highlights of my expertise include:
Proficiency in Python programming and libraries such as NumPy, pandas, Matplotlib, Seaborn, and Plotly for data manipulation, visualization, and statistical analysis.
Extensive experience in machine learning algorithms, including supervised and unsupervised learning, classification, regression, clustering, and deep learning.
Hands-on experience in data preprocessing, feature engineering, and model evaluation to ensure robust and reliable performance.
Strong analytical skills and a keen eye for detail, enabling me to uncover actionable insights and drive data-driven decision-making.
Throughout my career, I have completed a wide range of projects spanning industries such as finance, healthcare, e-commerce, and more. From building predictive models for customer churn prediction to developing deep learning models for image classification, I am committed to delivering innovative solutions tailored to your unique business needs.

PandasSeabornLarge Language Models (LLM)Scikit-LearnMachine LearningArtificial Intelligence (AI)+4

Rawalpindi polytechnic institute.

Electronics Instructor

Sep 2021 – Dec 2023 · 2 yrs 3 mos · Rawalpindi, Punjab, Pakistan

I am teaching programming and electronics subjects.

Program CreationKnowledge EngineeringBash

Crestech it

Network Engineer

Mar 2020 – Jun 2020 · 3 mos · Islāmābād, Pakistan

1.Works on Lan and WAN.
2.Troubleshooting of Lan.
3.Handle users complaints.
I was working as a network engineer. I was looking for a problem related to different networks and manage All by troubleshooting the network devices.

LAN-WAN