"I’m Reddy Prasad, an AI/ML Consultant, specializing in Generative AI, Data Science, Prompt Engineering, and various other areas of AI, with a passion for excellence and innovation that fuels the growth of AI. where I leverage Generative AI, Machine Learning, Deep Learning, and LLMs to create transformative solutions that think, learn, and adapt with real brilliance. Throughout my career, I’ve had the privilege of working with several leading companies, including Girikon Solutions Pvt. Ltd, Sumeru Software Solutions Private Limited, ClientoClarify, BroadNexus (TMTS), and Bitit. My experience spans various industries such as transportation, energy, security, and information technology.
A skilled AI/ML engineer who specializes in developing and maintaining artificial intelligence and machine learning models, including large language models (LLMs). He works with large datasets to train these models, enabling them to learn from data and perform various natural language processing tasks.
A seasoned AI/ML consultant with a proven track record of successfully implementing AI/ML solutions across various industries. I specialize in assessing business needs, identifying opportunities, and developing tailored strategies to leverage AI/ML technologies for improved efficiency, innovation, and competitive advantage.
As a Machine Learning Researcher, I specialize in developing end-to-end machine learning and deep learning applications. I leverage the CRISP-DM methodology to solve complex business problems across various industries.
As a Technology Enabler, I specialize in developing and evaluating machine learning models using the Prajna Framework. I focus on building robust and efficient models across various domains, ensuring they meet the highest performance standards.
As a Research Assistant, I contributed to cutting-edge machine learning and AI research projects at IITBX. I supported Ph.D. scholars in conducting experiments and analyzing simulation results. Additionally, I taught undergraduate courses in machine learning with Python and data science with R. My technical skills include building data pipelines, developing machine learning models, and creating data visualizations for dashboards.
Leveraged my passion for machine learning by completing an M.Tech in Computer Science (specialization) at Sri Venkateswara College of Engineering Technology (SVCET-Autonomous), Chittoor (JNTU-A)
A specialized field within computer science focused on applying technology to solve business problems at Sri Venkatesa Perumal College of Engineering & Technology(SVPCET-Autonomous), Puttur JNTU-A
Higher Secondary Education in MPC (Mathematics, Physics, Chemistry) at Rayalaseema Jr College in Tirupati.
Secondary Education at R.R. High School, Bairagipatteda in Tirupati.
Machine learning enables systems to learn from data and make predictions without explicit programming. It has applications in areas like image recognition, natural language processing, and recommendation systems.
Deep learning is a subset of machine learning that uses neural networks with multiple layers to model complex patterns in large datasets. It excels in tasks such as image and speech recognition, often outperforming traditional algorithms.
Large Language Models (LLMs) are advanced AI systems trained on vast amounts of text data to understand and generate human-like language. They excel in tasks like conversation, text generation, and language translation, leveraging deep learning techniques.
Data analysis involves inspecting, cleaning, and interpreting data to extract meaningful insights and inform decision-making. It employs statistical methods and tools to identify trends, patterns, and relationships within datasets.
Predictive analytics uses statistical algorithms and machine learning techniques to analyze historical data and forecast future outcomes. It helps businesses make informed decisions by identifying trends, risks, and opportunities based on data-driven predictions.
Computer vision is a field of artificial intelligence that enables machines to interpret and understand visual information from the world, such as images and videos. It powers applications like facial recognition, object detection, and autonomous navigation.
Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and human language. It enables machines to understand, interpret, and generate text or speech, facilitating applications like chatbots, translation, and sentiment analysis.
Reinforcement learning is a type of machine learning where an agent learns to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties.It is commonly used in applications like robotics, gaming, and autonomous systems to optimize behavior over time.
A chatbot is an AI program designed to simulate conversation with users, often through text or voice interfaces. They can assist with customer service, provide information, and engage users in interactive dialogues, leveraging technologies like natural language processing and machine learning.