Gaurav Kabdwal

AI Researcher

Nainital, Uttarakhand, India2 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Developed high-accuracy ML systems for agriculture.
Gained extensive experience in navigation and deck operations.
Strong foundation in web development and programming languages.

Stackforce AI infers this person is a skilled candidate in Agritech and AI-driven solutions with a solid foundation in web development.

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Skills

Core Skills

Machine LearningData AnalyticsNavigation

Other Skills

Agile MethodologiesAgile Project ManagementAlgorithmsAmazon Web Services (AWS)Android DevelopmentApplication DevelopmentArtificial IntelligenceArtificial Intelligence (AI)BootstrapC (Programming Language)C++Cargo HandlingCascading Style Sheets (CSS)Celestial NavigationChart Plotting

About

Passionate and motivated Computer Science student currently pursuing a Bachelor of Technology in Computer Science & Engineering at Invertis University. With a strong focus on web development, I have gained expertise in programming languages such as C, Java and Python, as well as technologies like HTML, CSS, Bootstrap, JavaScript, TypeScript, Next.js, React.js, Node.js, Express.js, MongoDB, EJS and Flutter. Alongside my technical skills, I possess valuable soft skills such as time management, teamwork, problem-solving, and critical thinking. Outside of my studies, I find solace in swimming and have a deep passion for music in various languages. Let's connect and explore how my skills and dedication can contribute to your organization's success.

Experience

Shell

AI & Data Analytics Intern

Jan 2025 – Feb 2025 · 1 mo · Remote

Completed 4-week virtual internship on Artificial Intelligence and Data Analytics with focus on Green Skills under Skills4Future program. Independently developed and implemented machine learning projects.
Developed ML crop recommendation system using XGBoost analyzing 7+ soil/weather parameters with 95.4% accuracy, optimizing agricultural productivity for farmers
Built automated fertilizer optimization system using Random Forest algorithm achieving 96.7% accuracy in nutrient recommendations, reducing waste and preventing soil degradation
Implemented end-to-end solution using Python, XGBoost, Random Forest, Scikit-learn, Pandas, and NumPy for data processing, model training, and performance visualization

Artificial IntelligenceData AnalyticsMachine LearningXGBoostRandom ForestPython+3

Edunet foundation

2 roles

Artificial Intelligence Intern

Dec 2024 – Jan 2025 · 1 mo · Remote

Developed a Human Pose Estimation system to detect body keypoints in real-time.
Implemented machine learning models to classify gestures using webcam data.
Enhanced the accuracy of gesture recognition.

Human Pose EstimationMachine LearningGesture Recognition

Artificial Intelligence Intern

Nov 2024 – Dec 2024 · 1 mo · Remote

Developed a Machine Learning model using Linear Regression to predict employee burnout rate with 91.9% accuracy.
Applied data preprocessing, feature engineering and visualization techniques to derive actionable insights.
Applied AI concepts and tools like NumPy, Pandas, Matplotlib, Seaborn and Scikit-Learn to develop a data-driven solution.

Linear RegressionMachine LearningData PreprocessingFeature EngineeringData Visualization

A.p. moller - maersk

Deck Cadet (Trainee Officer)

Apr 2018 – Jan 2021 · 2 yrs 9 mos · Worldwide

Gained 16 months of seafaring experience in Navigation and Deck Operations, operating in international waters, and collaborating with a multinational crew while visiting 17 countries.
Led the mooring team 8 times and reported to the bridge during vessel berthing operations, including steering the vessel during pilotage under the guidance of the Officer-in-Charge.
Supervised and communicated effectively during over 40 cargo watches under the guidance of the Chief Officer.

NavigationDeck OperationsTeam LeadershipCommunication