Ahmed Hassan

AI Engineer

https://talent.gravityer.com/ahmed-hassan-342074

AI Engineer with 4+ years in AI/ML, Computer Vision & Scalable Solutions

Elevariq Technologies and Digital Solutions (Private) Limited

Key Strengths

Extensive experience in AI/ML, computer vision, and LLM development, directly aligning with the AI Engineer role.
Demonstrated ability to lead and manage end-to-end AI system architecture and development, including scalable data pipelines and backend systems.
Proficiency in advanced AI concepts such as LLM fine-tuning (LoRA), multi-agent systems (LangGraph), prompt optimization (DSPy), and on-device LLM deployment.
Strong practical experience with MLOps tools and platforms (Kubernetes, Docker, BentoML, MLFlow, DVC, Kubeflow) for deploying and managing AI solutions.
Proven track record in developing real-time applications and systems, including bus monitoring with YOLO and GPS tracking, and real-time data retrieval for multi-agent systems.
Experience in improving AI model accuracy and robustness, as shown by the Hajj pilgrim detection project.
Active participation in hackathons and open-source contributions indicates a proactive and engaged approach to the field.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project diversity, ranging from no-code AI platforms to multi-agent research systems and on-device LLMs, demonstrates a broad interest and adaptability within the AI domain. Their current role as an 'AI Lead Engineer' and participation in hackathons suggest a proactive and innovative mindset. The listed soft skills like leadership, communication, and teamwork further indicate a strong potential for cultural integration within a collaborative and fast-paced environment. The focus on real-world problem-solving aligns well with an impact-driven culture.

Soft Skills & Operational Fit

The candidate's resume highlights leadership in AI agent and workflow design, project management, critical thinking, problem-solving, and teamwork. These indicate a strong operational fit for a senior role requiring strategic thinking and cross-functional collaboration. The experience in directing full-stack applications and QA automation also suggests a holistic understanding of software development lifecycle.

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About

AI Engineer and Developer with 3+ years of experience, having expertise in AI and with ML algorithms, computer vision, automation systems, and scalable software solutions. Experienced in building advanced AI products including face recognition systems, LLMs fine-tuning pipelines, intelligent ML platforms, and real-time enterprise applications. Passionate about innovation, leadership, and developing impactful technology solutions that solve real-world problems at scale.

Top Skills

PythonComputer VisionLlmsPyTorchKubernetes

Experience

CARE

AI Engineer

July 1, 2025 – March 1, 2026

Islamabad, Islamabad Capital Territory, Pakistan

Elevariq Technologies and Digital Solutions (Private) Limited

AI Lead Engineer

March 1, 2025 – Present

Rawalpindi, Punjab, Pakistan

Turing

AI Engineer

February 1, 2024 – Present

Pakistan

Projects

Pocket-Agent [On-Device LLM Tool Calling System]

April 1, 2026 – Present

Fine-tuned a d2B LLM with LoRA for structured tool-calling, high-accuracy arguments, and multi-turn reasoning. Quantized for d800MB model size and d200ms CPU inference enabling offline deployment. Built a tool-aware JSON execution system (weather, calendar, SQL, etc.) with synthetic data generation, adversarial evaluation, and a full training-to-deployment pipeline.

Multi-Agent Research Assistant

March 1, 2026 – Present

Built an autonomous research system using LangGraph with multiple AI agents for web search, analysis, report generation, and critique-revision cycles. Integrated DSPy for agent reasoning optimization and structured critique-feedback, alongside Groq and Tavily Search for real-time data retrieval and intelligent synthesis. Generated structured, citation-backed reports with automated PDF export.

AutoAI Workflow Builder

September 1, 2025 – Present

Developed a no-code platform for creating AI-powered workflows using a drag-and-drop interface. Implemented modular blocks for API calls, LLM processing, and automation tasks with real-time execution support. Integrated DSPy for prompt optimization and structured reasoning pipelines to improve workflow accuracy and reliability.

Key Strengths

Extensive experience in AI/ML, computer vision, and LLM development, directly aligning with the AI Engineer role.
Demonstrated ability to lead and manage end-to-end AI system architecture and development, including scalable data pipelines and backend systems.
Proficiency in advanced AI concepts such as LLM fine-tuning (LoRA), multi-agent systems (LangGraph), prompt optimization (DSPy), and on-device LLM deployment.
Strong practical experience with MLOps tools and platforms (Kubernetes, Docker, BentoML, MLFlow, DVC, Kubeflow) for deploying and managing AI solutions.
Proven track record in developing real-time applications and systems, including bus monitoring with YOLO and GPS tracking, and real-time data retrieval for multi-agent systems.
Experience in improving AI model accuracy and robustness, as shown by the Hajj pilgrim detection project.
Active participation in hackathons and open-source contributions indicates a proactive and engaged approach to the field.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Ahmed Hassan

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Projects

Certifications

Key Strengths

Cultural & Operational Fit