AI Engineer with less than a year in Machine Learning, Deep Learning, and LLM integration.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.