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AI Engineer with 1+ years in Python, Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science and Business Systems graduate with strong expertise in Python, SQL, Machine Learning, and Data Analytics. Experienced in developing AI-powered solutions using Computer Vision and Predictive Modeling. Skilled in data preprocessing, feature engineering, visualization, and machine learning model development. Passionate about leveraging AI and data-driven insights to solve real-world business challenges.
GITAM University
Bachelor of Technology · Computer Science and Business Systems
January 1, 2022 – January 1, 2026
KodNest
Full Stack Java Intern
June 1, 2025 – Present
India
Driver Drowsiness Detection System
January 1, 2026 – June 1, 2026
• Built a real-time driver monitoring system using facial landmark and eye-state detection. • Implemented automated alert mechanisms to improve road safety. • Enhanced detection performance through testing and optimization of computer vision algorithms.
Intelligent Traffic Routing and Simulation System
January 1, 2026 – June 1, 2026
• Developed a traffic optimization system using A* and D* Lite algorithms. • Simulated real-world traffic scenarios and generated optimized routing strategies. • Reduced congestion by identifying efficient alternative routes through traffic analysis.
Automatic Citrus Fruit Disease Detection
January 1, 2025 – December 31, 2025
• Developed an image-based disease classification system using machine learning techniques. • Performed image preprocessing, feature extraction, and model evaluation for disease prediction. • Trained classification models to improve disease detection accuracy and reliability.
Artificial Intelligence and Machine Learning
Coursera
June 1, 2026 – Present
Introduction to R Programming
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to diverse real-world problems (agriculture, automotive safety, urban planning), indicating a proactive and problem-solving mindset. The internship in full-stack Java development shows versatility, though the primary focus is on AI/ML. The candidate's achievements, such as solving numerous coding problems and participating in hackathons, suggest a driven and competitive individual. The NSS Best Volunteer Award indicates community involvement, which can be a positive cultural indicator. However, the overall experience level is junior, which might require significant mentorship in a senior AI Engineer role.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration in Agile teams during their internship, suggesting an ability to work effectively in a team-oriented environment. Project descriptions indicate problem-solving skills and a passion for leveraging AI to solve real-world challenges. However, without psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.