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Assessing your cultural and operational fit
AI Engineer with less than a year in Machine Learning, Deep Learning, and LLM integration.
Motivated engineer with expertise in Machine Learning, Deep Learning, and LLM integration. Proven track record of building end-to-end technical solutions, including AI-integrated management platforms and high-accuracy diagnostic applications using TensorFlow, Scikit-learn, and Hugging Face API. Proficient in C, C++, and Python, with hands-on experience in database management and deploying real-time models. Eager to apply technical expertise to solve real-world problems and contribute to organizational success.
Kalinga Institute Of Industrial Technology
Bachelor of Technology · Computer Science
September 1, 2022 – May 1, 2026
Red Rose Public School
Higher Secondary
May 1, 2020 – July 1, 2021
GD DAV Public School
Secondary School
May 1, 2018 – May 1, 2019
[Zidio Development]
Data Science and Analytics Intern
June 1, 2026 – Present
India
CardioCheck
June 13, 2026 – Present
Engineered a predictive diagnostic tool using XGBoost and Scikit-learn to assess cardiovascular risk, achieving a validated clinical accuracy of 93%. Integrated SHAP to generate explainable AI visualizations, providing dynamic and transparent insights into patient-specific health indicators. Deployed a responsive, containerized Streamlit application to Hugging Face Spaces using Docker for real-time, interactive model execution.
InsightStream
June 13, 2026 – Present
Engineered a Streamlit-powered Q&A platform utilizing NLP pipelines and Hugging Face API to deliver context-aware answers with source citations. Implemented FAISS for efficient vector-based document retrieval, optimizing query processing speed and retrieval accuracy across large datasets. Architected a robust, scalable deployment pipeline using Docker, ensuring consistent environment configuration and long-term application stability.
Generative AI
IBM & Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects (CardioCheck, InsightStream) demonstrate a diverse application of AI/ML skills, from predictive diagnostics to NLP-powered Q&A platforms. The internship in Data Science and Analytics aligns well with the target AI Engineer role, showing a practical application of theoretical knowledge. The breadth of skills listed (languages, databases, AI/ML frameworks, Generative AI, Dev Tools) indicates a willingness to learn and adapt, which is positive for cultural fit. However, the candidate is still pursuing a Bachelor's degree, which might indicate a need for mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from model development to deployment. The internship experience highlights an understanding of MLOps and delivering actionable insights, suggesting a results-oriented approach. However, without specific psychometric or English test scores, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be provided.