s
siam4990

SHAHRIYAR KARIM

@siam4990

Business Consultant

Bangladesh
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I’m a Business Consultant and Tech Solutions Architect who helps entrepreneurs and companies turn ideas into automated, revenue-generating systems. I don’t just build websites or apps — I design systems that save time, reduce costs, and print money automatically. From idea → system → launch → scale I handle everything end-to-end. If you want a developer, there are thousands. If you want a partner who builds tech that makes you money, that’s where I come in. Let’s build something powerful.... Plus d’infos

Compétences

s
siam4990
SHAHRIYAR KARIM
hors ligne • 

Voir mes services

WordPress
I will build a high converting website for your business
Intégrations IA
I will automate your business workflows with ai agent

Portfolio

Expérience professionnelle

MeetFox

ai developer

MeetFox • Freelance

Aug 2025 - Present9 mos

As an AI Developer at our company, you play a critical role in designing, developing, and deploying intelligent systems that enhance business operations, automate workflows, and create data-driven solutions. This role combines software engineering, machine learning, and problem-solving skills to build scalable AI-powered applications that solve real-world challenges. You will work closely with cross-functional teams including data scientists, software engineers, product managers, and business stakeholders to transform ideas into robust AI solutions. Your work will directly contribute to improving efficiency, customer experience, and decision-making processes within the organization. Key Responsibilities 1. AI Model Development Design, develop, and implement machine learning and deep learning models for various business use cases. Work on supervised, unsupervised, and reinforcement learning techniques depending on project requirements. Build predictive models, recommendation systems, classification algorithms, and NLP-based applications. Optimize models for performance, accuracy, and scalability. 2. Data Processing & Feature Engineering Collect, clean, and preprocess structured and unstructured data from multiple sources. Perform feature engineering to improve model accuracy and efficiency. Handle large datasets using efficient data pipelines and tools. Ensure data quality and integrity throughout the development lifecycle. 3. Integration & Deployment Integrate AI models into production systems, APIs, and web/mobile applications. Deploy machine learning models using cloud platforms or on-premise infrastructure. Monitor model performance in real-time and update models as needed. Ensure scalability and reliability of AI systems in production environments. 4. Automation & AI Solutions Develop AI-driven automation systems to streamline business operations. Build chatbots, virtual assistants, and automation workflows. Implement AI i