Aniket Khadanga

AI Engineer

https://www.opentalent.in/aniket-khadanga

Bhubaneswar, indiaMember since September 7, 2025

Key Strengths

Strong foundational knowledge in Computer Vision and AI, demonstrated through projects like YOLO-based Pothole Detector and real-time multi-object tracking with Kalman Filters.
Practical experience in implementing object detection and tracking using Python and OpenCV, including optimization for latency reduction.
Familiarity with key machine learning frameworks (TensorFlow, PyTorch) and tools (Git/GitHub, Jupyter Notebooks).
Demonstrated ability to work in a team and collaborate, as evidenced by leading a team of 5 during the DRDO internship.
Proactive in learning and skill development, indicated by certifications and a broad range of listed competencies.
Good match for an entry-level AI Engineer role, particularly in Computer Vision, given the academic background and project experience.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 63.8% suggests moderate alignment with desired work attitude, stress handling, and team collaboration. While the candidate has demonstrated teamwork in an internship setting, further assessment during interviews would be beneficial to fully gauge cultural fit and ensure alignment with team dynamics and company values.

Soft Skills & Operational Fit

The psychometric test indicates moderate performance in logical reasoning, work attitude, stress handling, and team collaboration (63.8%). The resume lists problem-solving, teamwork, communication, and adaptability as interpersonal skills, which were demonstrated during the DRDO internship. Overall, the candidate shows potential in these areas but with room for development based on the assessment scores.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong foundational knowledge in Computer Vision and AI, demonstrated through projects like YOLO-based Pothole Detector and real-time multi-object tracking with Kalman Filters.
Practical experience in implementing object detection and tracking using Python and OpenCV, including optimization for latency reduction.
Familiarity with key machine learning frameworks (TensorFlow, PyTorch) and tools (Git/GitHub, Jupyter Notebooks).
Demonstrated ability to work in a team and collaborate, as evidenced by leading a team of 5 during the DRDO internship.
Proactive in learning and skill development, indicated by certifications and a broad range of listed competencies.
Good match for an entry-level AI Engineer role, particularly in Computer Vision, given the academic background and project experience.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Aniket Khadanga

Key Strengths

Cultural & Operational Fit

Skills

Experience

Key Strengths

Cultural & Operational Fit