Help & Supportcareers@gravityer.com
AI Engineer with 2+ years in Computer Vision & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A highly motivated Machine Learning and Deep Learning developer, passionate about creating models that solve real-world problems. Possesses expertise in Computer Vision, OpenCV, Model Training, Generative-AI, and Python programming.
University of Petroleum Energy of Studies
BCA (Bachelors of Computer Application)
August 1, 2017 – June 30, 2020
Samriddhi AutomationsPvt. Ltd.
Machine Learning Engineer
September 1, 2022 – February 1, 2024
India
Grroom
Machine Learning Engineer Intern
July 1, 2021 – May 1, 2022
India
LLM-Powered Educational Chatbot
June 28, 2026 – Present
Designed and built an LLM-powered educational chatbot leveraging the Groq API to answer natural language questions from PDF documents. This project demonstrated my expertise in: PDF data processing, text chunking, embedding generation (HuggingFace), vector indexing (FAISS), prompt engineering, Streamlit UI development, and error handling.
Multilabel Text Classification using Machine Learning
June 28, 2026 – Present
Machine Learning techniques for multilabel text classification, where the goal is to predict the probability that a piece of text belongs to specific classes based on extracted features. The final model checked on against the test set. FrameWork Used:-Scikit-Learn, Machine Learning, Python, RandomForest Classifier, MultiLabelBinarizer(mlb)
Cultural Fit Analysis
The candidate's project diversity, ranging from traditional machine learning (text classification) to advanced LLM applications and extensive computer vision work, indicates a broad interest in AI/ML domains. The experience as a Machine Learning Engineer and Intern aligns well with an AI Engineer role, demonstrating a practical, hands-on approach to problem-solving. The use of various tools and frameworks suggests adaptability and a willingness to learn new technologies.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to take projects from conception to deployment (e.g., Streamlit UI for chatbot). The experience in data collection and annotation suggests attention to detail and foundational data science practices. However, the provided data does not offer sufficient information to assess specific soft skills like teamwork, leadership, or problem-solving under pressure.