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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.
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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.
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