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AI Engineer with less than a year in Generative AI and data processing.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence and Data Science graduate with experience in Machine Learning, Generative AI, workflow automation, cloud technologies, and scalable data processing. Skilled in Python, R, SQL, Nextflow, Docker, Flask, Streamlit, and Azure.
Jansons Institute of Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Vizzhy (Vardhan SK Healthcare Pvt. Ltd.)
AI/ML Intern
October 1, 2025 – Present
India
AI Recruiter Bot – Generative AI Interview Platform
January 1, 2025 – December 31, 2025
Developed an end-to-end GenAI recruitment platform using Python, Flask, Streamlit, Gemini API, ChromaDB, and PostgreSQL. Implemented AI-powered resume parsing and skill extraction for candidate profiling. Generated personalized interview questions using Large Language Models (LLMs). Built a Retrieval-Augmented Generation (RAG) based conversational memory system using vector embeddings. Integrated speech-to-text processing and automated answer evaluation workflows. Generated AI-driven hiring recommendations and comprehensive interview reports.
House Price Prediction System
January 1, 2024 – December 31, 2024
Developed an end-to-end machine learning-based house price prediction system using Python, Flask, and Scikit-Learn. Built and trained a Random Forest Regression model using property features such as area, location, bedrooms, and bathrooms. Implemented feature preprocessing using ColumnTransformer and OneHotEncoder. Performed exploratory data analysis, feature engineering, and model evaluation. Optimized model performance through hyperparameter tuning and validation techniques. Developed REST APIs for real-time predictions and AI-powered prediction explanations.
Cultural Fit Analysis
The candidate's academic projects showcase a strong interest and practical application in cutting-edge AI fields like Generative AI and predictive modeling. The internship in bioinformatics demonstrates versatility and an ability to adapt to different domains requiring data analysis and workflow automation. This diversity of projects and skills indicates a curious and adaptable individual, which generally aligns well with innovative and fast-paced technical environments. The focus on end-to-end system development in projects suggests a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying advanced AI/ML concepts through academic projects. The internship experience shows an ability to work with complex data pipelines and contribute to reproducible research environments. However, without specific psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly. The project descriptions suggest an ability to work independently on technical challenges.