Experience time

  1. An AI & ML Expert designs, develops, and deploys intelligent systems using machine learning, deep learning, and data science techniques. They analyze complex datasets, build predictive models, and integrate AI solutions into products and services. Their work spans across model development, algorithm optimization, deployment (cloud/on-premise), and ethical AI practices, often using tools like Python, TensorFlow, PyTorch, scikit-learn, and cloud platforms like AWS, Azure, or GCP.

Work Experience

Data Science and Gen ai
Naresh IT 2024 oct 28 - Present A Data Science and Generative AI specialist leverages statistical analysis, machine learning, and deep learning to extract insights from data and build intelligent systems. They design end-to-end pipelines for data processing, model training, and deployment. With expertise in Generative AI (e.g., LLMs, GANs, diffusion models), they build applications like text generation, chatbots, synthetic data creation, and content automation. Proficient in tools such as Python, SQL, PyTorch, TensorFlow, LangChain, and cloud platforms (AWS/GCP/Azure), they focus on solving real-world problems with responsible and scalable AI solutions.

Education

BTech
Graduated 2020 - 2024 B.Tech in Computer Science and Engineering (AI & ML) A four-year undergraduate program that blends core computer science fundamentals with advanced topics in Artificial Intelligence and Machine Learning. The curriculum covers data structures, algorithms, databases, and software engineering, alongside AI/ML subjects like neural networks, deep learning, NLP, computer vision, and reinforcement learning. Students gain hands-on experience through projects, labs, and internships, preparing them for roles in AI development, data science, and intelligent system design

Honors & awards

World Telugu Conference
2017 Participated in the international-level essay writing competition held as part of the prestigious World Telugu Conference. The essay emphasized the cultural, historical, and linguistic significance of the Telugu language and its evolution in the digital era. Recognized for insightful content, clarity of expression, and strong connection to Telugu heritage.
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Clarity in Specification
Requirements were clear, precise, and well-structured.
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Communication
Responsive, collaborative, and proactive in all interactions
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Payment Promptness
Payments were timely and handled without issues.
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Professionalism
Highly organized, respectful, and focused on quality.
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