Rajnish Kumar Sharma

AI Engineer

https://www.opentalent.in/rajnish-kumar-sharma

gwalior, indiaMember since September 29, 2025

Key Strengths

Strong performance in the AI/ML specific assessment (94%), indicating solid theoretical and practical understanding of AI concepts.
Extensive project experience in deep learning, including medical image analysis, IoT integration with LLMs, and real-time object detection (YOLO, CNN).
Demonstrated ability to apply model optimization techniques such as quantization and transfer learning.
Proficiency in Python and relevant AI/ML frameworks (TensorFlow, Keras, Pandas, NumPy).
Experience in full-stack web development (React.js, Next.js) which is valuable for deploying and visualizing AI solutions.
Proactive in self-learning and certifications in AI/ML and data science.

Skill Analysis

Data Science & Artificial Intelligence

★★★★★

94%

Achieved an excellent score of 94%, demonstrating strong foundational and practical knowledge in data science and artificial intelligence concepts, including deep learning, model optimization, and various AI applications.

Data ScientistMachine LearningDeep LearningTensorFlowKerasModel OptimizationQuantizationTransfer LearningYOLOCNNLLM

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's psychometric test score of 60% suggests an average alignment with desired traits such as logical reasoning, work attitude, stress handling, and team collaboration. This indicates a moderate cultural fit, with potential areas for development in these non-technical domains to fully integrate into a high-performing team.

Soft Skills & Operational Fit

The psychometric test score of 60% indicates moderate performance in logical reasoning, work attitude, stress handling, and team collaboration. While the resume mentions collaboration and version control experience, these areas may require further development to align with senior-level expectations.

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Experience

Super Health Hospitals Private Limited

Data Analytics Intern

June 1, 2025 – August 1, 2025

Bangalore, India

IEEE Power & Energy Society (PES)

Contributor - Website Development

February 1, 2022 – December 1, 2024

Gwalior, India