Mantasha Idrisi
AI Model Training EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and 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
AI Prompt Engineer with hands-on experience designing, testing, and optimizing prompts for Large Language Models (LLMs). Skilled in prompt engineering techniques including zero-shot, few-shot, chain-of-thought prompting, and retrieval-augmented generation (RAG). Built and deployed Generative AI applications using LLMs, Groq API, Hugging Face, Gradio, and vector-based retrieval systems. Developed AI-powered projects for natural language interaction, data analysis, and healthcare use cases, with a strong focus on improving response quality, accuracy, and user experience. MCA graduate specialized in AI/ML, passionate about leveraging Generative AI to solve real-world business problems and create intelligent AI-driven solutions.
UTTARANCHAL UNIVERSITY, DEHRADUN
MCA · Computer Applications (AI and ML)
August 15, 2023 – August 18, 2025
Achieved a perfect score (100%) on the 'Data Engineer — Data Platforms' test, indicating excellent understanding of the evaluated data engineering concepts.
Strengths
Limitations
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to applying AI/ML concepts in diverse domains (data querying, healthcare, analytics), indicating adaptability and a willingness to tackle varied challenges. Their focus on practical application and problem-solving (e.g., reducing hallucinations, improving accuracy) aligns with a results-oriented culture. However, the psychometric test score is a concern for cultural fit, as it suggests potential challenges in areas like team collaboration or stress handling, which are vital for a collaborative work environment. The experience level is 0, indicating a fresh graduate profile, which might require more mentorship and integration into team dynamics.
Soft Skills & Operational Fit
The candidate demonstrates strong written communication and analytical strengths, as evidenced by their resume's description of structured output design and detail-oriented approach to AI response evaluation. Their ability to translate business requirements into precise AI prompts suggests good problem-solving and communication skills relevant for operational roles. The psychometric test score of 252/500 is below average, which might indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, though specific details are not provided.
Scored 94% on the 'Data Scientist — Artificial Intelligence' test, demonstrating a very strong grasp of AI and data science principles.
Strengths
Limitations