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AI Engineer with 2+ years in Machine Learning, Deep Learning, and Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic AI Intern with expertise in Machine Learning, Deep Learning, and Generative AI. Proficient in Python and SQL, with hands-on experience in building and deploying REST APIs using FastAPI and Flask. Strong background in data preprocessing, feature engineering, and model evaluation, with practical experience developing AI-driven solutions such as a Chronic Kidney Disease Prediction System. Experienced in creating AI-powered applications using OpenAI GPT models and contributing effectively to innovation-focused teams, earning recognition through awards and national-level competition achievements.
Deogiri Institute of Engineering and Management Studies, Chh. Sambhajinagar
CSE (Artificial Intelligence & Machine Learning) · Artificial Intelligence & Machine Learning
January 1, 2023 – January 1, 2027
Team Bhumiputra (SAE TIFAN)
AI Engineer
January 1, 2024 – Present
India
AI-Integrated Smart Agriculture Prediction System
June 28, 2026 – Present
• Developed an advanced AI-driven Smart Crop Health Prediction System using camera-based image input and computer vision for real-time crop monitoring. • Trained and deployed machine learning/deep learning models on crop health datasets to detect diseases, deficiencies, and stress conditions with high accuracy. • Integrated AI predictions with a web dashboard, HMI, and embedded controllers to enable intelligent, data-driven agricultural automation.
Chronic Kidney Disease Prediction System
June 28, 2026 – Present
• Built a supervised machine learning model to predict chronic kidney disease using patient clinical data. • Performed data preprocessing, feature engineering, model training, and evaluation to achieve high prediction accuracy. • Developed an interactive Streamlit application for real-time model interaction and result visualization.
German Language (A1 & A2)
Engell Institute
June 1, 2026 – Present
Python for Data Science, AI & Development
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and competition involvement show a strong interest in applying AI to real-world problems, aligning well with an innovation-driven culture. Their experience with diverse projects (agriculture, healthcare) and integration with embedded systems suggests adaptability and a broad technical curiosity. The leadership roles indicate a proactive and responsible approach, which is generally a good cultural fit for dynamic engineering teams. However, the candidate is still early in their career, and their experience is primarily academic/competition-based.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through their involvement in competitive projects and group leadership roles. Their experience in team-based projects suggests good collaboration skills. The ability to integrate AI solutions with embedded systems indicates a practical, problem-solving approach. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.