Zulkaif Ahmed

Backend Engineer

Islāmābād, Pakistan5 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI engineering and intelligent automation solutions.
Proven ability to deploy deep learning models in production.
Skilled in cloud-native development and microservices architecture.

Stackforce AI infers this person is a Full Stack Engineer specializing in AI and automation solutions within the SaaS industry.

Contact

Skills

Core Skills

MicroservicesCloud InfrastructureData ManagementFull Stack DevelopmentResearchAi & RoboticsRoboticsComputer VisionIt Support

Other Skills

Python (Programming Language)FastAPIDockerKubernetesAWSApache AirflowRedisPostgreSQLKafkaCeleryPythonDjangoArtificial IntelligenceDeep LearningData Preprocessing

About

Full Stack Engineer with 5+ years of experience in Python backend development, AI engineering, and Flutter mobile frameworks. Expert in machine learning, deep learning, and natural language processing, delivering intelligent automation solutions and scalable architectures. Skilled in cloud-native development, microservices, and containerized systems using Docker and Kubernetes. Proven ability to deploy deep learning models, design distributed systems, and integrate LLMs, RAG pipelines, and computer vision modules into production APIs. Passionate about advanced system optimization, neural networks, and real-time AI applications.

Experience

5 yrs

Total Experience

2 yrs 6 mos

Average Tenure

Current Experience

Voliom

2 roles

Senior Backend Engineer

Promoted

Jul 2023 – Dec 2025 · 2 yrs 5 mos · On-site

Led the design and architecture of distributed, fault-tolerant microservice ecosystems leveraging Docker, Kubernetes, and AWS (EKS, Lambda, EC2).
Integrated AI/ML and NLP models into enterprise SaaS platforms, implementing real-time LLM inference, embedding-based search, and text analytics pipelines.
Built and maintained data orchestration frameworks using Apache Airflow, Redis, PostgreSQL, Kafka, and Celery, enabling scalable ETL and event-driven workflows.
Enhanced API performance by 40% through asynchronous processing, caching strategies, and database query optimization.
Implemented CI/CD pipelines with GitHub Actions, Terraform, and Jenkins, automating infrastructure provisioning and zero-downtime deployments.
Introduced observability and monitoring stacks with Prometheus, Grafana, and ELK, improving system reliability and debugging efficiency.
Mentored junior developers and contributed to software design documentation, code reviews, and technical leadership across backend initiatives.

Python (Programming Language)FastAPIDockerKubernetesAWSApache Airflow+6

Full-stack Developer

Apr 2023 – Jul 2023 · 3 mos · On-site

Develop and deploy backend microservices using Python, FastAPI, and Django.
Integrate AI and NLP models into production SaaS environments.
Manage cloud deployments using Docker, Kubernetes, and AWS.
Architect data pipelines and automation workflows for enterprise systems.
Collaborate across teams for ML integration, performance tuning, and API scaling.

PythonFastAPIDjangoDockerKubernetesAWS+2

Fellowship.ai

Research Fellow

Jan 2023 – Mar 2023 · 2 mos · Remote

Worked as a Research Fellow at Fellowship.AI, specializing in artificial intelligence, automation, and computer vision.
Designed and trained deep learning models for image classification, object detection, and pattern recognition, achieving up to 94% model accuracy across multiple datasets.
Developed AI-driven automation pipelines that improved model training and inference speed by 30%, enhancing overall research efficiency.
Implemented transformer-based architectures (ViT and hybrid CNN-transformer models) for visual and natural language understanding tasks.
Contributed to data preprocessing, augmentation, and hyperparameter optimization, improving generalization performance by 15%.
Collaborated in a global remote research team, integrating findings into real-world AI deployment pipelines and optimizing end-to-end machine learning workflows.

Artificial IntelligenceComputer VisionDeep LearningData PreprocessingResearchAI & Robotics

Heavy industries taxila

Robotics & Image Processing Engineer

Aug 2021 – Feb 2023 · 1 yr 6 mos · Taxila, Punjab, Pakistan · On-site

Worked as a Robotics & Image Processing Engineer under contract, focusing on industrial automation, robotic simulations, and computer vision systems.
Developed and deployed image recognition models using OpenCV, TensorFlow, and PyTorch, achieving up to 93% detection accuracy for component identification and fault detection.
Designed and programmed robotic control systems in Python and C++, enabling precise movement coordination and object manipulation.
Built simulation environments for testing robotic arm kinematics and autonomous navigation using ROS (Robot Operating System) and Gazebo.
Implemented real-time data pipelines to integrate image-based feedback into robotic control loops, reducing operational error rates by 25%.
Integrated backend systems and APIs for robotic data logging, performance analytics, and process monitoring.
Collaborated cross-functionally with mechanical and software teams to optimize sensor calibration, vision-based inspection, and control algorithm tuning.
Contributed to the development of AI-driven automation workflows, improving machinery diagnostics, maintenance prediction, and overall system efficiency.

Python (Programming Language)OpenCVTensorFlowPyTorchROSGazebo+2

Superannotate

AI Data Annotator

Jun 2019 – Jan 2021 · 1 yr 7 mos · United States · Remote

Contributed to data annotation projects for large language models (LLMs) and computer vision systems.
Labeled and validated large-scale image and text datasets for machine learning and AI model training.
Maintained high standards of data accuracy, consistency, and quality control.
Collaborated with AI engineers to enhance dataset precision and improve model performance in NLP and vision tasks.
Supported development of AI alignment and automated annotation workflows for enterprise projects.

Image SegmentationData CleaningData Management

Fauji foundation school & college

Senior Computer Science Lab Assistant

Oct 2016 – May 2019 · 2 yrs 7 mos · Dina, Punjab, Pakistan · On-site

Oversaw daily operations of the Computer Science laboratory, ensuring functionality, system readiness, and technical support during classes.
Installed, configured, and maintained hardware, operating systems, and software environments (Windows, Linux, and Office tools).
Supported instructors with programming lessons, demonstrations, and student project supervision in languages like C++, Java, and Python.
Developed and managed data management systems to track lab usage, inventory, and equipment maintenance.
Ensured network connectivity, cybersecurity compliance, and troubleshooting of hardware/software issues.
Conducted technical training sessions for students on computer fundamentals, digital literacy, and safe technology use.
Assisted the IT department in implementing LAN/WAN setup, system imaging, and performance monitoring tools.
Contributed to overall school IT modernization initiatives, improving system reliability and educational technology integration.

Microsoft ExcelData ManagementIT Support