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ak_ai_developer

Ajith Kumar R

@ak_ai_developer

AIML Engineer

Inde
Anglais, Tamoul, Malayalam
Certaines informations sont présentées en anglais.
À propos de moi
I am an AI/ML Engineer passionate about designing and deploying intelligent, data-driven solutions. I specialize in deep learning, NLP, and computer vision, transforming complex datasets into scalable AI systems using MLOps tools like Docker, Kubernetes, and cloud platforms.... Plus d’infos

Compétences

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ak_ai_developer
Ajith Kumar R
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Voir mes services

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Portfolio

Expérience professionnelle

Self_Employed

AI/ML Engineer

Self Employed • Temps plein

Feb 2023 - Feb 20252 yrs

As an AI/ML Engineer at San Industries, I design, develop, and deploy cutting-edge machine learning solutions that drive innovation and efficiency. My role involves building scalable AI models, optimizing algorithms, and integrating AI solutions into business processes to enhance decision-making and automation. Key Responsibilities: Machine Learning Model Development: Design and train ML models for applications such as predictive analytics, NLP, computer vision, or recommendation systems. Data Preprocessing & Engineering: Clean, preprocess, and analyze large datasets to extract meaningful insights and improve model accuracy. Algorithm Optimization: Fine-tune models to enhance performance, reduce latency, and ensure scalability in production environments. Deployment & MLOps: Implement ML models in cloud environments (AWS, Azure, GCP) using Docker, Kubernetes, and CI/CD pipelines. Collaboration & Integration: Work closely with data engineers, software developers, and product teams to integrate AI solutions into production workflows. Research & Innovation: Stay updated with the latest AI advancements and apply state-of-the-art techniques to improve business outcomes. Performance Monitoring: Continuously monitor, evaluate, and improve deployed models to ensure long-term effectiveness and accuracy. Technologies & Tools: Programming & Frameworks: Python, TensorFlow, PyTorch, Scikit-learn Big Data & Cloud: AWS (SageMaker, Lambda), Azure ML, GCP AI MLOps & Deployment: Docker, Kubernetes, CI/CD, FastAPI, Flask Data Processing: Pandas, NumPy, Apache Spark, SQL