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AI Engineer with 1+ years in Machine Learning & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Dual Degree Mining Engineering student with a strong passion for Artificial Intelligence, Machine Learning, and Data Science. Proven ability to design and implement end-to-end AI/ML solutions, from building predictive models and RAG pipelines to developing interactive dashboards and image detection systems. Proficient in Python, Java, and web technologies with practical experience in frameworks like Scikit-learn, TensorFlow, Keras, and LangChain, eager to contribute to innovative projects.
Indian Institute of Technology, Kharagpur
Dual Degree Mining Engineering · Mining Engineering
N/A – June 30, 2027
Delhi Public School, Ruby Park
Class 12 · CBSE
N/A – May 31, 2022
The Future Foundation School
Class 10 · ICSE
N/A – May 31, 2020
Enterprise RAG System
December 1, 2025 – Present
Designed and implemented an enterprise-grade RAG pipeline for document-aware Q&A across large databases. Built embeddings-based retrieval using vector databases to reduce hallucinations and improve contextual grounding. Developed evaluation framework for answer relevance, citation correctness, latency, and factuality. Built Streamlit UI for document upload, history tracking, and interactive queries using LangChain.
Neon Explainable Diabetes AI
November 1, 2025 – Present
Built predictive AI model for diabetes risk using structured clinical datasets and supervised ML algorithms. Implemented SHAP-based explainability to interpret predictions and identify key medical parameters. Developed interactive UI to visualize patient risk scores and feature contributions. Integrated Neon-based explainability workflows into the inference pipeline to enhance transparency of AI decisions.
HR Analytics Attrition Prediction Chatbot
October 1, 2025 – Present
Built an HR attrition prediction system integrating an analytics dashboard and conversational chatbot. Trained classification model using scikit-learn on HR datasets to predict employee attrition risk. Developed Streamlit dashboard with interactive KPI visualizations, filters, and trend insights. Integrated OpenAI chatbot with SQLite employee database for context-aware HR policy and attrition insights.
Dental Image Detection System
July 1, 2025 – Present
Developed YOLO-based dental detection pipeline automating training, validation, and inference tasks. Implemented post-processing algorithms to assign FDI tooth numbers, detect missing teeth, and split dental regions. Visualized detection results with bounding boxes and FDI labels using OpenCV and Matplotlib for clarity.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to diverse domains (healthcare, HR, dental imaging, enterprise Q&A), indicating adaptability and a broad perspective. Participation in extracurricular activities like Spring Fest, web novel authoring, and junior chef roles suggests a well-rounded individual with initiative and a collaborative spirit. However, the academic nature of all projects and lack of professional experience might indicate a need for mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's involvement in organizing large-scale events (Spring Fest) suggests strong organizational, leadership, and collaboration skills. Managing logistics for 3000+ attendees and coordinating with multiple teams indicates operational capability and teamwork. The web novel author and junior chef roles highlight creativity, attention to detail, and ability to manage complex tasks, which are beneficial for problem-solving in engineering roles.