AJEEB SAGAR

AI Intern

https://talent.gravityer.com/ajeeb-sagar

Dayananda Sagar University

Key Strengths

Strong academic background in CSE (AI&ML) with a high CGPA (8.67), demonstrating a solid theoretical foundation.
Exceptional hands-on experience for an intern, including an AI/ML Engineer internship where the candidate built a multilingual OCR pipeline and developed layout parsing.
Demonstrated ability to execute complex AI/ML projects, such as a RAG-based LinkedIn analyzer, a deep learning system for medical imaging (98% accuracy), and a real-time AI voice assistant leveraging LLMs and cloud deployment.
Proficiency in a wide array of relevant AI/ML technologies and frameworks, including Python, TensorFlow, PyTorch, Scikit-learn, LangChain, LLMs, Computer Vision, and NLP.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Final year B.Tech student at Dayananda Sagar University CSE(AI & ML), passionate about exploring Artificial Intelligence, Machine Learning, LLMs, NLP and Deep Learning. Possesses a strong foundation in Python, TensorFlow, PyTorch, Scikit-learn, and Pandas, with practical experience in Natural Language Processing, Image Processing, and AI-driven automation.

Skills

(Power BI, Tableau)AI EngineerAI/ML FrameworksAPI / Integration (Scanners, Connectors)Agentic AiAi MlAzureData AnalysisData scienceDockerGenerative AiGitGit-GitHubHugging FaceHugging Face TransformersLLM applicationsLangchainLarge Language ModelsLinuxLlm Fine TuningMachine Learning AlgorithmsMachine LearningMachine Learning ArchitectureMl DeploymentNatural Language ProcessingOpenaiPandasPandas, NumPyPineconePower BIPythonRAG (Retrieval-Augmented Gener ation)SQLScikit LearnSeleniumStreamlitTensorFlowPyTorch

Education

Dayananda Sagar University

B.Tech · CSE (AI&ML)

August 18, 2022 – May 8, 2026

Key Strengths

Strong academic background in CSE (AI&ML) with a high CGPA (8.67), demonstrating a solid theoretical foundation.
Exceptional hands-on experience for an intern, including an AI/ML Engineer internship where the candidate built a multilingual OCR pipeline and developed layout parsing.
Demonstrated ability to execute complex AI/ML projects, such as a RAG-based LinkedIn analyzer, a deep learning system for medical imaging (98% accuracy), and a real-time AI voice assistant leveraging LLMs and cloud deployment.
Proficiency in a wide array of relevant AI/ML technologies and frameworks, including Python, TensorFlow, PyTorch, Scikit-learn, LangChain, LLMs, Computer Vision, and NLP.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0/500 is a critical red flag for cultural fit. This score, assessing work attitude, stress handling, and team collaboration, indicates a severe potential mismatch with organizational values and team dynamics. Without further context or re-evaluation, this score presents a substantial barrier to recommendation.

Soft Skills & Operational Fit

The psychometric test score of 0/500, which evaluates critical aspects like logical reasoning, work attitude, stress handling, and team collaboration, raises severe concerns regarding the candidate's soft skills and operational fit. This score strongly suggests potential deficiencies in non-technical areas essential for workplace success and requires immediate clarification or re-evaluation.