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As an AI Developer at Linkt, I am at the forefront of integrating artificial intelligence technologies into practical applications. My focus lies in enhancing object detection models for mobile devices and developing high-precision image capture solutions, leveraging tools such as ONNX for optimization. Furthermore, I contribute to projects employing open-source Large Language Models (LLMs) for automating report generation, ultimately improving sales processes through innovative SaaS platforms. This role enables me to apply my passion for AI and machine learning, driving forward the integration of these technologies in web and mobile applications to solve real-world challenges. Before joining Linkt, I served as an Artificial Intelligence Intern at OpenView. I applied machine learning and LLMs across various domains, including report generation and market research, to enhance decision-making and unearth insights from complex datasets. My academic background includes a Nanodegree in Computer Vision from Udacity, where I honed my skills in building and deploying applications using TensorFlow and PyTorch. My experience extends to developing a multilingual chatbot and a web application platform as an AI and Web Engineer Intern at NolymitAI. I hold a Bachelor of Technology in Computer Science from Velagapudi Ramakrishna Siddhartha Engineering College, with a co-authored publication on Majorana fermions in topological superconductors. My core competencies encompass statistical data analysis, TensorFlow, machine learning, deep learning, and AWS SageMaker, alongside proficiency in Python, PySpark, R, JavaScript, SQL, PSQL, and visualization tools like D3.js, Matplotlib, Tableau, and Flask. Eager to expand my knowledge and skills, I am committed to collaborative innovation, continuous learning, and developing impactful solutions that leverage AI to address complex challenges.…As an AI Developer at Linkt, I am at the forefront of integrating artificial intelligence technologies into practical applications. My focus lies in enhancing object detection models for mobile devices and developing high-precision image capture solutions, leveraging tools such as ONNX for optimization. Furthermore, I contribute to projects employing open-source Large Language Models (LLMs) for automating report generation, ultimately improving sales processes through innovative SaaS platforms. This role enables me to apply my passion for AI and machine learning, driving forward the integration of these technologies in web and mobile applications to solve real-world challenges. Before joining Linkt, I served as an Artificial Intelligence Intern at OpenView. I applied machine learning and LLMs across various domains, including report generation and market research, to enhance decision-making and unearth insights from complex datasets. My academic background includes a Nanodegree in Computer Vision from Udacity, where I honed my skills in building and deploying applications using TensorFlow and PyTorch. My experience extends to developing a multilingual chatbot and a web application platform as an AI and Web Engineer Intern at NolymitAI. I hold a Bachelor of Technology in Computer Science from Velagapudi Ramakrishna Siddhartha Engineering College, with a co-authored publication on Majorana fermions in topological superconductors. My core competencies encompass statistical data analysis, TensorFlow, machine learning, deep learning, and AWS SageMaker, alongside proficiency in Python, PySpark, R, JavaScript, SQL, PSQL, and visualization tools like D3.js, Matplotlib, Tableau, and Flask. Eager to expand my knowledge and skills, I am committed to collaborative innovation, continuous learning, and developing impactful solutions that leverage AI to address complex challenges.

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As an AI Developer at Linkt, I am at the forefront of integrating artificial intelligence technologies into practical applications. My focus lies in enhancing object detection models for mobile devices and developing high-precision image capture solutions, leveraging tools such as ONNX for optimization. Furthermore, I contribute to projects employing open-source Large Language Models (LLMs) for automating report generation, ultimately improving sales processes through innovative SaaS platforms. This role enables me to apply my passion for AI and machine learning, driving forward the integration of these technologies in web and mobile applications to solve real-world challenges. Before joining Linkt, I served as an Artificial Intelligence Intern at OpenView. I applied machine learning and LLMs across various domains, including report generation and market research, to enhance decision-making and unearth insights from complex datasets. My academic background includes a Nanodegree in Computer Vision from Udacity, where I honed my skills in building and deploying applications using TensorFlow and PyTorch. My experience extends to developing a multilingual chatbot and a web application platform as an AI and Web Engineer Intern at NolymitAI. I hold a Bachelor of Technology in Computer Science from Velagapudi Ramakrishna Siddhartha Engineering College, with a co-authored publication on Majorana fermions in topological superconductors. My core competencies encompass statistical data analysis, TensorFlow, machine learning, deep learning, and AWS SageMaker, alongside proficiency in Python, PySpark, R, JavaScript, SQL, PSQL, and visualization tools like D3.js, Matplotlib, Tableau, and Flask. Eager to expand my knowledge and skills, I am committed to collaborative innovation, continuous learning, and developing impactful solutions that leverage AI to address complex challenges.…As an AI Developer at Linkt, I am at the forefront of integrating artificial intelligence technologies into practical applications. My focus lies in enhancing object detection models for mobile devices and developing high-precision image capture solutions, leveraging tools such as ONNX for optimization. Furthermore, I contribute to projects employing open-source Large Language Models (LLMs) for automating report generation, ultimately improving sales processes through innovative SaaS platforms. This role enables me to apply my passion for AI and machine learning, driving forward the integration of these technologies in web and mobile applications to solve real-world challenges. Before joining Linkt, I served as an Artificial Intelligence Intern at OpenView. I applied machine learning and LLMs across various domains, including report generation and market research, to enhance decision-making and unearth insights from complex datasets. My academic background includes a Nanodegree in Computer Vision from Udacity, where I honed my skills in building and deploying applications using TensorFlow and PyTorch. My experience extends to developing a multilingual chatbot and a web application platform as an AI and Web Engineer Intern at NolymitAI. I hold a Bachelor of Technology in Computer Science from Velagapudi Ramakrishna Siddhartha Engineering College, with a co-authored publication on Majorana fermions in topological superconductors. My core competencies encompass statistical data analysis, TensorFlow, machine learning, deep learning, and AWS SageMaker, alongside proficiency in Python, PySpark, R, JavaScript, SQL, PSQL, and visualization tools like D3.js, Matplotlib, Tableau, and Flask. Eager to expand my knowledge and skills, I am committed to collaborative innovation, continuous learning, and developing impactful solutions that leverage AI to address complex challenges.

Available to hire

As an AI Developer at Linkt, I am at the forefront of integrating artificial intelligence technologies into practical applications. My focus lies in enhancing object detection models for mobile devices and developing high-precision image capture solutions, leveraging tools such as ONNX for optimization. Furthermore, I contribute to projects employing open-source Large Language Models (LLMs) for automating report generation, ultimately improving sales processes through innovative SaaS platforms. This role enables me to apply my passion for AI and machine learning, driving forward the integration of these technologies in web and mobile applications to solve real-world challenges.

Before joining Linkt, I served as an Artificial Intelligence Intern at OpenView. I applied machine learning and LLMs across various domains, including report generation and market research, to enhance decision-making and unearth insights from complex datasets. My academic background includes a Nanodegree in Computer Vision from Udacity, where I honed my skills in building and deploying applications using TensorFlow and PyTorch. My experience extends to developing a multilingual chatbot and a web application platform as an AI and Web Engineer Intern at NolymitAI.

I hold a Bachelor of Technology in Computer Science from Velagapudi Ramakrishna Siddhartha Engineering College, with a co-authored publication on Majorana fermions in topological superconductors. My core competencies encompass statistical data analysis, TensorFlow, machine learning, deep learning, and AWS SageMaker, alongside proficiency in Python, PySpark, R, JavaScript, SQL, PSQL, and visualization tools like D3.js, Matplotlib, Tableau, and Flask.

Eager to expand my knowledge and skills, I am committed to collaborative innovation, continuous learning, and developing impactful solutions that leverage AI to address complex challenges.