SAMUYEL DAMMU

B.Tech Student | AI & Machine Learning Specialist

Kakinada, IN.

About

Highly motivated B.Tech student specializing in Computer Science (AI & ML) with a strong foundation in machine learning, Python, and front-end development (HTML/CSS). Proven ability to develop innovative AI/ML solutions, demonstrated through successful projects like a real-time hand sign recognition system and securing a Top 5 position in a collegiate hackathon. Passionate about leveraging prompt engineering and AI tools to drive impactful technological advancements and solve complex problems.

Work

AICTE Internship Portal

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Intern

Kakinada, Andhra Pradesh, India

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Summary

Completed certified internships through the AICTE Internship Portal, gaining practical exposure to industry-relevant technical applications.

Highlights

Completed certified internships via the AICTE Internship Portal, gaining practical exposure to industry-relevant technical applications.

Applied theoretical knowledge to real-world scenarios, strengthening foundational skills in software development and data analysis.

Engaged in projects that required problem-solving and technical implementation, contributing to a deeper understanding of industry practices.

IBM SkillsBuild

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Student Ambassador Intern

Kakinada, Andhra Pradesh, India

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Summary

Enhanced prompt engineering abilities to effectively guide AI tools like ChatGPT, improving AI output quality and efficiency.

Highlights

Participated in the IBM SkillsBuild Student Ambassador Program, enhancing expertise in prompt engineering for advanced AI models like ChatGPT.

Developed and refined strategies for crafting effective prompts, leading to improved AI output quality and efficiency in various applications.

Gained practical experience in guiding AI tools to generate targeted and relevant content, demonstrating foundational skills in AI interaction and optimization.

Edunet Foundation

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Intern

Kakinada, Andhra Pradesh, India

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Summary

Developed a real-time hand sign recognition system using Python and machine learning techniques, enhancing communication for diverse users.

Highlights

Designed and implemented a real-time hand sign recognition system leveraging Python and advanced machine learning techniques.

Applied deep learning models to process visual data, achieving high accuracy in identifying multiple distinct hand gestures.

Contributed to a project selected for the Regional Round at Edunet, demonstrating practical application and innovation in AI for social impact.

Education

KAKINADA INSTITUTE OF ENGINEERING AND TECHNOLOGY

Kakinada, Andhra Pradesh, India
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B.Tech Computer Science & Engineering (AI & ML) Grade: 7.3/10 CGPA

Courses

Machine Learning

Deep Learning

Data Structures and Algorithms

Python Programming

Web Technologies (HTML/CSS)

Artificial Intelligence

AP Model School, Hamsavaram

Hamsavaram, Andhra Pradesh, India
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Higher Secondary Education Mathematics, Physics, Chemistry (MPC) Grade: 611/1000

Awards

Top 5 Finalist in College-Level Hackathon

College-Level Hackathon

Secured a Top 5 finalist position among multiple competing teams in a competitive college-level hackathon, demonstrating strong problem-solving and technical execution.

Languages

English

Telugu

Skills

Programming Languages

Python, HTML, CSS.

Artificial Intelligence & Machine Learning

Machine Learning, Deep Learning, AI Tools, Prompt Engineering, Natural Language Processing (NLP), Computer Vision.

Tools & Platforms

Git, GitHub, VS Code, ChatGPT (AI Tools).

Web Development

Frontend Development, HTML, CSS.

Data Analysis

Data Modeling, Predictive Analytics.

Project Management

Problem Solving, Team Collaboration, Innovation.

Interests

Hobbies

Travelling, Video Editing.

Technology Interests

AI-Powered Content Creation, Generative AI.

Projects

Chemical Reaction Outcome Predictor

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Summary

Engineered an AI-powered system designed to predict the outcomes of chemical reactions, leveraging computational chemistry and machine learning algorithms.

Crop Prediction System

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Summary

Created a machine learning model to predict optimal crop yields and types based on various environmental and soil parameters, aiming to enhance agricultural efficiency.

Sign Speak: The Silent Communicator

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Summary

Developed an AI-powered real-time hand sign recognition system to facilitate communication for the hearing impaired, leveraging advanced machine learning techniques.