Help & Supportcareers@gravityer.com
AI Engineer with less than a year in NLP, LLMs & 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
MSc Data Science graduate with strong foundations in mathematics, Python, SQL, and machine learning. Experienced in building end-to-end AI systems involving NLP, LLMs, RAG pipelines, OCR, and cloud-based workflows. Proven ability to design scalable, production-oriented ML solutions through industry internships.
University of Kerala, Thiruvananthapuram
MSc Data Science · Data Science
N/A – June 30, 2025
University College, Thiruvananthapuram
BSc Mathematics · Mathematics
N/A – June 30, 2023
CBSE
Class XII
N/A – May 31, 2020
CBSE
Class X
N/A – May 31, 2018
Experion Technologies
AI Intern
September 1, 2025 – December 1, 2025
India
Ospyn Technologies
Data Science Intern
March 1, 2025 – June 1, 2025
India
Attention-Guided U-Net and YOLOv8 for Cucumber Leaf Disease Classification
November 1, 2024 – July 1, 2025
Developed a PyTorch-based hybrid deep learning model combining U-Net and YOLOv8 for leaf disease classification. Achieved 4.08% higher accuracy through attention-guided preprocessing, enabling early, precise diagnosis in complex field conditions.
Spotify Listening History Visualization
July 1, 2024 – July 1, 2024
Designed an interactive Tableau dashboard to analyze Spotify listening habits, featuring insights on genres, most played albums, popularity, and audio features.
View ProjectPredictive Maintenance in Manufacturing Industries
February 1, 2024 – May 1, 2024
Built a predictive maintenance system using sensor data and ML models like Random Forest, KNN, AdaBoost. Enabled early fault detection, reducing unplanned downtime and improve efficiency
Heart Disease Prediction
December 1, 2023 – December 1, 2023
Developed and optimized heart disease prediction models using Logistic Regression and Random Forest with effective data preprocessing and feature engineering.
Aspect-Based Sentiment Analysis for Enhancing Customer Satisfaction
November 1, 2023 – March 1, 2024
Built NLP-based sentiment analysis model to extract and classify customer opinions from reviews. Utilized BERT, Sentence Transformers, spaCy, and Selenium with EDA to deliver actionable business insights.
Python Data Structures
Coursera (University of Michigan)
June 1, 2026 – Present
Programming for Everybody
Coursera (University of Michigan)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and capability in diverse AI/ML applications, including computer vision, NLP, and predictive maintenance. This breadth of exposure suggests adaptability and a willingness to tackle varied challenges, which could contribute positively to cultural fit in a dynamic AI engineering environment. The academic nature of most projects, however, means less exposure to typical corporate development cycles and team structures.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, adaptability, time management, and team collaboration as soft skills. The project descriptions and internship roles suggest an ability to work on complex technical problems and integrate various technologies, which aligns with operational fit for an AI Engineer role. However, without direct interview data, the depth of these soft skills cannot be fully assessed.