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Skills

  • Artificial Intelligence
  • Artificial Neural Networks
  • Machine Learning
  • Deep Learning
  • Algorithms
  • CNN
  • Computer Vision
  • Data Analysis
  • Data Modeling
  • Data Visualization
  • Fine Tuning
  • Modeling
  • Software Deployment
  • Software Development

Services

  • Agentic AI & Applied Machine Learning

    $15/hr Starting at $100 Ongoing

    Dedicated Resource

    Agentic AI & Applied Machine Learning Solutions I offer specialized AI services focused on building autonomous, goal-driven Agentic AI systems, advanced Computer Vision pipelines, and applied Machine...

    AlgorithmsArtificial IntelligenceArtificial Neural NetworksCNNComputer Vision

About

AI Engineer | Expert in CV, NLP & Edge AI — Delivering smart, scalable solutions with seamless integration into apps and systems.

Why Work With Me:
1. AI-First Solutions: Focus on developing and integrating AI/ML with real-world applications.
2. Production-Ready Code: Scalable, maintainable, and built for long-term growth.
3. Business-Centric Approach: Solutions tailored to your business goals — not just code.
4. Transparent Communication: Regular updates and clear collaboration throughout the project.

What I Offer:
1. AI & ML Engineering: Designing and deploying models for CV, NLP, Agentic AI, and intelligent automation.
2. Agentic Systems: Crafting AI agents capable of reasoning, autonomous decision-making, and task execution.
3. Web & Mobile App Development: Building cross-platform and native applications with modern frameworks, clean architecture, and a focus on scalability.
4. Cloud & Edge Deployment: Google Cloud, Firebase, and edge AI applications for real-time solutions.
5. End-to-End Product Delivery: From backend APIs to AI integrations and sleek frontends.

About Me
I’m an AI Engineer and Full-Stack Developer focused on delivering intelligent, scalable solutions that bridge advanced AI with real-world applications. My expertise spans Computer Vision (CV), Natural Language Processing (NLP), Agentic AI systems, and deploying models on edge devices — combining engineering rigor with practical machine learning.