AI Engineer with less than a year in Full Stack Development & Machine Learning
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Aspiring software developer with a strong foundation in programming languages seeking a job opportunity to apply technical skills and passion for software development. Eager to contribute to innovative projects, collaborate with experienced professionals, and gain hands-on experience in a dynamic development environment.
Galgotias University
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Glenhill School
XII
June 1, 2020 – May 31, 2021
Glenhill School
X
June 1, 2018 – May 31, 2019
Ethara AI
LLM Post Trainee
January 1, 2026 – May 1, 2026
Gurgaon, Haryana, India
AI-Based Crop Yield Prediction System Using ML
June 1, 2026 – June 1, 2026
Developed an AI-based crop yield prediction system using Machine Learning to estimate crop production based on historical and environmental data. Implemented ML algorithms such as Linear Regression, Random Forest, Decision Tree to analyze agricultural patterns. Performed data cleaning, feature engineering, and normalization to improve model performance. Evaluated model accuracy using metrics like RMSE, MAE, and R² score. Built a user-friendly interface to allow farmers or users to input parameters and get predicted crop yield. Improved prediction accuracy through hyperparameter tuning and model optimization. Demonstrated how AI can support smart farming and data-driven agricultural decisions.
Task Flow
June 1, 2026 – June 1, 2026
TaskFlow is a standalone client-side web application deployed on Netlify for frontend hosting and Railway for backend services, making it accessible live on the web. Built TaskFlow, a task management web app using vanilla HTML, CSS, and JavaScript. Implemented full CRUD functionality to create, update, and delete tasks with status tracking. Designed an animated dark-mode UI with glassmorphism effects and smooth transitions. Added real-time statistics dashboard with live progress bar and sidebar mini charts. Used localStorage for client-side data persistence across page refreshes. Implemented task filtering, keyboard shortcuts, and toast notifications for better UX.
Data Structures and Algorithms
Code Help
January 1, 2024 – Present
Operating Systems
Galgotias University
January 1, 2024 – Present
Database Management Systems (DBMS)
Galgotias University
January 1, 2024 – Present
Natural Language Processing (NLP)
Galgotias University
January 1, 2024 – Present
Quantum Computing
Galgotias University
January 1, 2023 – Present
Discrete Mathematics
Galgotias University
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in both AI/ML applications (Crop Yield Prediction) and general web development (Task Flow). The academic project shows an inclination towards applying technical skills to real-world problems. The internship as an LLM Post Trainee aligns with the target role of an AI Engineer, indicating a focused career interest. However, the overall breadth of experience is limited due to the candidate's early career stage (experienceLevel: 0).
Soft Skills & Operational Fit
The candidate lists soft skills such as Verbal Communication, Analytical Problem-Solving, Teamwork, and Adaptability. While these are valuable, there is no assessment data to validate their proficiency. The project descriptions indicate an ability to work on defined tasks and deliver functional applications, suggesting a basic operational fit for structured development environments.