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  1. Home
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  3. Prateek Dutta
Prateek Dutta's picture

Prateek Dutta

AI
Sr. AI Developer
KPMG India, Bengaluru
Country or state 
India
Available to 
Global
City 
Bengaluru, Karnataka, India
Fee 
Languages 
English,
Hindi
Volunteer
No
Timezone 
Asia/Kolkata

Personal Details

Bio

Transforming complex data into actionable insights through advanced analytics and machine learning. I am fueled by constant learning and evolution, staying at the forefront of cutting-edge techniques and emerging technologies.

Current position (3)

Sr. AI Developer

KPMG India, Bengaluru

Machine Learning Engineer

Dataevolve Solutions, Hyderabad, India

Data Science Engineer

Konverge.AI, Nagpur, India

Degrees (1)
B.Tech Artificial Intelligence
G H Raisoni College of Engineering
2019

Presentations

Presentations (2)
Generative AI

This field encompasses various techniques, including generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and autoregressive models like the Transformer architecture used in models like GPT (Generative Pre-trained Transformer).

Generative AI has applications across many domains, including image generation, text generation, music composition, and even creating realistic synthetic data for training other machine learning models. It's a fascinating area of research with significant potential for creative applications and advancing our understanding of AI capabilities.

Trends & Advancements in AI

Advancements in AI are occurring rapidly across a domain. Here are some key areas where significant progress is being made:

Deep Learning: Techniques like CNNs and RNNs continue to evolve, allowing for more complex and efficient learning architectures.

Generative Models: Generative models like GANs and VAEs have improved in generating high-quality images, text, and even audio. These models have applications in creative fields, data augmentation, and synthetic data generation.

Reinforcement Learning: RL algorithms have achieved impressive results in various domains, including gaming (e.g., AlphaGo, OpenAI Five), robotics, and recommendation systems.

Transfer Learning and Pre-trained Models: These particularly with pre-trained models like BERT and GPT, has revolutionized natural language processing tasks.

AI Ethics and Interpretability: There's increasing focus on the ethical implications of AI systems and efforts to make AI more interpretable and transparent.

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Books & Articles (3)

Machine Learning Algorithms Using Python Programming
Nova Science Publication,
2021
A Brief Knowledge about Technology Advancement - Artificial Intelligence
Amazon Publication,
2021
Researcher

Expertise (17)

IT consulting and services
Technology
Leadership
Other
Deep Learning Machine Learning NLP Data Science AWS Python GenerativeAI Computer Vision LLM-RAG Azure PowerBI PySpark AI in Research
Recommendations
Why choose me? 

A dedicated Data & AI professional leveraging computational solutions to solve complex task.

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