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AI Engineer with 1+ years in Generative AI & Full Stack Development
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Assessing your cultural and operational fit
Emerging AI Engineer and Generative AI Developer with demonstrated experience building AI-powered applications, integrating Large Language Models (LLMs), and applying prompt engineering to deliver intelligent, production-ready software. Proficient in end-to-end full stack development using the MERN stack (MongoDB, Express.js, React.js, Node.js), REST API development, and machine learning pipelines leveraging Python, Scikit-Learn, TensorFlow, and Keras. Experienced in implementing Retrieval-Augmented Generation (RAG) patterns, training and evaluating ML models, and collaborating within Agile software development lifecycles. Passionate about applying generative AI and deep learning to build scalable applications that solve real-world problems.
Baba Ghulam Shah Badshah University
Bachelor of Technology · Computer Science Engineering
N/A – June 30, 2024
Drytis
AI Engineer
March 1, 2026 – Present
India
Desire Infotech
Software Developer & Technical Trainer
November 1, 2024 – October 1, 2025
India
AI Health Analyzer
June 27, 2026 – Present
Built a machine learning-powered health prediction application that analyzes user-reported symptoms and applies a trained Scikit-Learn classification model to generate health condition predictions. Developed the full ML pipeline including data preprocessing with Pandas and NumPy, feature engineering, model training, and model evaluation to maximize classification accuracy. Implemented a React.js frontend that delivers real-time prediction results, making the ML system accessible through an intuitive web-based interface.
View ProjectAnimal Endangered Species Detection System
June 27, 2026 – Present
Built an image classification system trained on a dataset of 6,400+ images, achieving 90% classification accuracy in identifying and categorizing endangered animal species. Implemented data preprocessing, feature extraction, and model evaluation pipelines using Scikit-Learn and Pandas, optimizing model performance through systematic hyperparameter tuning.
AI Study Assistant
June 27, 2026 – Present
Built an AI-powered educational platform integrating LLM APIs to automatically generate personalized quizzes, topic summaries, and adaptive learning plans tailored to individual student needs. Implemented advanced prompt engineering techniques to structure LLM interactions for consistent, high-quality educational content generation across diverse subject areas. Developed a complete full stack architecture with a React.js frontend, Express.js/Node.js REST API backend, and MongoDB data layer, supporting scalable multi-user access.
View ProjectFull Stack Development Certification
Unknown
January 1, 2025 – Present
Machine Learning Certification
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from educational platforms to health analysis and image classification, shows a broad interest in applying AI across different domains. Their experience as a technical trainer also indicates a willingness to share knowledge and contribute to a learning environment. The current AI Engineer role at Drytis is a strong fit for the target role, suggesting alignment with an AI-focused organizational culture. However, the experience level is relatively low (starting professional experience in 2024), which might impact their ability to navigate complex organizational dynamics without further mentorship.
Soft Skills & Operational Fit
The candidate's experience as a Technical Trainer suggests strong communication and mentorship skills, which are valuable for team collaboration and knowledge transfer. Their project descriptions indicate an ability to deliver end-to-end solutions and follow SDLC practices. The academic projects demonstrate initiative and problem-solving capabilities. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.