Machine Learning

Generative AI Models

Create generative models capable of producing realistic images, videos, and even synthetic data, which can be used in industries like gaming, entertainment, generation for training AI systems.

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AI for Cybersecurity

Build machine learning systems to detect and mitigate sophisticated cyber threats in real-time by analyzing network traffic, user behavior, and identifying potential vulnerabilities.

Data Science

Deliver sophisticated predictive analytics by leveraging statistical modeling, machine learning, and deep learning to help businesses operations, and make data-driven decisions.

Big Data Solutions

Design and implement scalable data pipelines and architectures for processing, storing, and analyzing large volumes of data, ensuring businesses can derive value from their data assets.

Sentiment Analysis

Build custom sentiment analysis models that go beyond basic positive/negative classification to detect emotions, sarcasm, intent, and context in customer feedback, social media, and market research.

Large Language Model

Build and fine-tune large language models like GPT, LLaMA, or OpenAI’s API for specialized tasks such as content generation, document summarization, conversational AI, and code generation