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AI Engineer with less than a year in Machine Learning & Generative AI.
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Assessing your cultural and operational fit
AI & Data Science engineering student with hands-on experience in machine learning, deep learning, and Generative AI. Skilled in designing, developing, and deploying real-world AI solutions using Python, ML algorithms, CNNs, RAG pipelines, and Flask, with a strong foundation in data analytics, model development, and analytical problem-solving.
Savitribai Phule Pune University
Bachelor of Artificial Intelligence and Data Science · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Diebold Nixdorf
Generative AI Intern
September 1, 2025 – January 1, 2026
Mumbai, Maharashtra, India
NetLeap IT Training
Data Science Intern
December 1, 2024 – February 1, 2025
Nashik, Maharashtra, India
Supply Chain Planning (SCP) Chatbot
June 27, 2026 – Present
Developed a RAG-powered chatbot to assist supply chain planning queries by indexing domain knowledge using a Multinomial FAISS index. Designed an end-to-end RAG pipeline for context-aware responses, enabling accurate information retrieval and decision support. Tech stack: Python, FAISS, LangChain, RAG, LLMs
Smart Personalized Exercise and Diet Recommendation Platform for Elderly
June 27, 2026 – Present
Built a machine learning-based healthcare web application that delivers personalized exercise routines and diet plans for elderly users based on age, medical conditions, and health indicators, with secure MySQL authentication and optimized performance. Tech stack: Python, Flask, Scikit-learn, MySQL, Random Forest
Facial Emotion Recognition System (CNN)
June 27, 2026 – Present
Implemented a real-time CNN-based emotion recognition system trained on the FER-2013 dataset, with live webcam-based detection using OpenCV. Tech stack: TensorFlow, OpenCV, CNN
Voice-Enabled RAG Chatbot for Movie Recommendations
June 27, 2026 – Present
Developed a voice-based recommendation chatbot using a RAG pipeline with speech-to-text and intent processing to enable natural, context-aware movie suggestions. Tech stack: Python, PyAudio, SpeechRecognition, NLP, RAG, NLTK
LLM & Generative AI Workshop
Techfest, IIT Bombay
December 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from chatbots to healthcare recommendation systems and emotion recognition, indicates a broad interest in AI applications. The internship at Diebold Nixdorf aligns well with an AI Engineer role, focusing on enterprise GenAI solutions. The academic background in Artificial Intelligence and Data Science further strengthens the cultural fit for an AI-centric organization. The candidate's involvement in an LLM & Generative AI Workshop at IIT Bombay also shows a commitment to staying current with industry trends.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying AI concepts through diverse academic projects. The internship experience at Diebold Nixdorf shows an ability to work on enterprise-level GenAI solutions, indicating good operational fit for a technical role. The project descriptions are clear and highlight problem-solving skills. However, without specific psychometric or English test results, a comprehensive assessment of soft skills like logical reasoning, stress handling, and team collaboration is not possible.