Help & Supportcareers@gravityer.com
AI Engineer with less than a year in machine learning and scalable ML solutions.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven AI and Data Science graduate with strong foundations in Python, SQL, machine learning, analytics, and software development. Hands-on experience building and deploying scalable ML solutions using TensorFlow, Scikit-learn, FastAPI, and Docker. Proven ability to analyze data, automate workflows, and solve business problems through data-driven solutions.
Pune University
BE · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Annasaheb Waghire College, Otur
HSC
N/A – May 31, 2021
Chaitanya Vidyalaya, Otur
SSC
N/A – May 31, 2019
MITU Research
Data Science Intern
December 1, 2023 – January 1, 2024
Pune, Maharashtra, India
Sign Language Recognition and Translation System
January 1, 2025 – January 1, 2025
Designed and trained a CNN-based deep learning model using TensorFlow and Keras. Trained on 10,000+ labeled images with 80% accuracy. Applied OpenCV preprocessing for real-time hand gesture detection. Built gesture-to-text live prediction pipeline.
Steel Plate Fault Detection
January 1, 2024 – January 1, 2024
Built an end-to-end ML pipeline to classify 6 steel surface defects using 2,000+ samples and 27 engineered features. Achieved 94% classification accuracy after tuning and optimization. Implemented StandardScaler and SelectKBest for preprocessing and feature selection. Deployed the trained model using FastAPI and Docker.
Artificial Intelligence
Accenture
June 1, 2026 – Present
Introduction to Machine Learning
Kaggle
June 1, 2026 – Present
AWS Cloud Practitioner Essentials
AWS
June 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation (Forage)
Forage
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with projects in fault detection and sign language recognition, demonstrates a strong interest and alignment with an AI Engineer role. The internship at MITU Research further reinforces practical application in the field. The breadth of skills (ML, DL, MLOps basics) and project diversity suggest adaptability and a proactive learning attitude, which are positive indicators for cultural fit in a dynamic AI team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and deliver functional solutions. The internship experience suggests an understanding of practical application in an industrial setting. However, without specific assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.