Highly motivated Full Stack Developer and AI Enthusiast with a B.Tech in Data Science, specializing in Python, React.js, and Machine Learning. Proven ability to build intelligent systems and solve complex problems, demonstrated through successful academic projects, competitive achievements, and impactful internships. Eager to leverage strong technical skills and a passion for innovation to contribute to a growth-oriented organization.
Associate Software Engineer
Hyderabad, Telangana, India
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Summary
Currently developing intelligent systems and innovative solutions using Machine Learning and AI Agents to address real-world challenges at Syneriq Global.
Highlights
Developing and implementing intelligent systems leveraging Machine Learning and AI Agents to drive innovation and solve complex problems.
Utilizing Python, React.js, and Node.js to build robust full-stack applications and contribute to cutting-edge technology initiatives.
Engaging in the full software development lifecycle, from conceptualization to deployment, to deliver high-impact solutions.
Google Cloud Generative AI Intern
Remote, Remote, India
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Summary
Completed an AICTE-approved virtual internship, gaining practical experience in Google Cloud Generative AI fundamentals and applications.
Highlights
Applied Generative AI principles and Google Cloud tools to develop and implement AI-driven solutions during a virtual internship.
Gained hands-on experience with Machine Learning and Python within the Google Cloud ecosystem, enhancing proficiency in AI development.
Collaborated with AICTE to successfully complete an intensive program focused on cutting-edge Generative AI technologies.
Front-End Web Development Intern
Remote, Remote, India
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Summary
Successfully completed an AICTE-approved internship, developing user-friendly interfaces with modern front-end web technologies.
Highlights
Developed and optimized user interfaces using HTML5, CSS3, JavaScript, and React.js, enhancing user experience and responsiveness.
Gained practical experience in responsive design principles, ensuring seamless functionality across various devices and platforms.
Applied modern web development best practices to build robust and scalable front-end applications.
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Bachelor of Technology
Computer Science and Engineering (Data Science)
Grade: 8.2 CGPA
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Intermediate
MPC
Grade: 9.8 CGPA
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High School
Secondary School Certificate
Grade: 9.8 CGPA
Awarded By
Siddhartha Institute of Engineering and Technology
Recognized as the 1st Class Topper in Computer Science and Engineering (Data Science) during the final semester, demonstrating consistent academic excellence and strong problem-solving abilities in data-driven technologies.
Awarded By
Siddhartha Institute of Engineering & Technology
Achieved 1st place in a Debugging and Technical Quiz competition, outperforming 500 participants through strong problem-solving, debugging skills, and comprehensive technical knowledge in data structures, algorithms, and software development.
Awarded By
NPTEL
Awarded a Gold Medal in the NPTEL Internet of Things (IoT) certification exam, achieving 90% marks and demonstrating deep analytical skills and understanding of IoT architecture, embedded systems, networking, and security.
Published by
ICMDRI 2K25
Summary
Published research paper leveraging Machine Learning to predict natural disasters (earthquakes, floods, tsunamis, landslides) using Random Forest and XGBoost algorithms, contributing to enhanced disaster preparedness.
Issued By
Skill wallet
Issued By
Infosys Springboard
Issued By
Infosys Springboard
Issued By
Infosys Springboard
Issued By
Bharat Intern, Octanet Pvt Ltd, Nxt24 Technologies
Node.js, Express.js.
SQL, MySQL, MongoDB.
Python, Java, C, JavaScript.
React.js, HTML5, CSS3, Tailwind CSS, Responsive Design, Bootstrap.
Machine Learning, AI Agents, Generative AI, Data Science, SVM, Random Forest, Decision Tree, MLP, XGBoost.
Google Cloud.
Problem-solving, Debugging, API Integration, JWT.
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Summary
Research project leveraging machine learning to predict natural disasters like earthquakes, floods, tsunamis, and landslides.
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Summary
Academic project focused on classifying thyroid diseases (hyperthyroidism, hypothyroidism, normal) using various machine learning algorithms.
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Summary
An engaging, interactive memory-based web application designed to test pattern recognition skills by challenging users to click unique emojis.
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Summary
A dynamic job search platform providing an interactive and user-friendly interface for efficient employment opportunity discovery.
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Summary
A streamlined task management solution designed with HTML, CSS, and Bootstrap for an intuitive and efficient user interface.
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Summary
A global countries database and search engine providing instant access to country and population data through REST API calls.
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Summary
Built an interactive hub for IPL teams and matches, featuring seamless navigation and real-time data presentation.
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Summary
A Wikipedia search application simplifying access to information with a user-friendly interface and real-time content retrieval.