Aditya kumar Sabat

bhubaneshwar, india

Since September 12, 2025

Skills

Front-endBlockchainWeb DevelopersAndroidAndroid DevelopmentAPI IntegrationGit-GitHubSoftware DevelopersBackendNosqlStartup DevelopersReact NativeReact.jsPythonUI/UX ImplementationPostmanHTML5Full-stackAI EngineersJavaScriptNode.jsDocker / KubernetesMysql

Experience

InTrainTech (Edtech)

Undergraduate Intern

December 1, 2023 – January 1, 2024

Bangalore

Key Strengths

Strong foundational and practical skills in AI/ML, including LLMs, GANs, NLP, Image Processing, and Time-series analysis.
Hands-on experience with major AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) and MLOps tools (Docker, Kubernetes).
Demonstrated ability to apply AI/ML in real-world scenarios through diverse projects and hackathon achievements (e.g., chatbots, data analysis, image synthesis, retail management).
Experience with prominent cloud platforms (GCP, Watsonx.ai, OpenShift) relevant for AI deployments.
Early leadership experience, having led a 5-member team during an internship, indicating initiative and teamwork potential.
Excellent alignment with the core technical requirements of an AI Engineer role, particularly for a junior to mid-level position.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 51% indicates potential areas for development in aspects such as logical reasoning, work attitude, stress handling, and team collaboration. This suggests a need for further assessment to understand specific areas of concern and ensure alignment with team dynamics and company culture.

Soft Skills & Operational Fit

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 and practical skills in AI/ML, including LLMs, GANs, NLP, Image Processing, and Time-series analysis.
Hands-on experience with major AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) and MLOps tools (Docker, Kubernetes).
Demonstrated ability to apply AI/ML in real-world scenarios through diverse projects and hackathon achievements (e.g., chatbots, data analysis, image synthesis, retail management).
Experience with prominent cloud platforms (GCP, Watsonx.ai, OpenShift) relevant for AI deployments.
Early leadership experience, having led a 5-member team during an internship, indicating initiative and teamwork potential.
Excellent alignment with the core technical requirements of an AI Engineer role, particularly for a junior to mid-level position.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit