Help & Supportcareers@gravityer.com
AI Engineer with 2+ years in Machine Learning & DevOps Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Data & AI Engineer — Building impactful AI solutions for real-world applications by uniting data engineering, machine learning, and DevOps automation.
Dayanand College of Commerce, Latur (DCCL)
Bachelor of Computer Application
August 1, 2019 – June 30, 2022
Nebulaa Innovation Pvt Ltd
Data Engineer
May 1, 2023 – June 1, 2025
India
License Plate Recognition
August 1, 2025 – October 1, 2025
Developed a YOLOv8-based system for real-time license plate detection and OCR text extraction. Built a Flask API to handle image uploads and return annotated plate images with extracted text. Optimized image preprocessing, detection, and OCR pipeline for improved accuracy and speed. Containerized the application using Docker to support batch processing and live webcam streaming.
Machine Learning Engineer
Symbiosis Skills and Professional University
June 1, 2026 – Present
Python with AI
Fuel Organization
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience as a Data Engineer supporting AI/ML workflows and a personal project involving YOLOv8 and Flask API development aligns well with an AI Engineer role. The breadth of skills listed (Python, SQL, PyTorch, TensorFlow, Docker, AWS, MLOps) indicates adaptability and a willingness to learn diverse technologies. The project diversity, from data engineering to a full-stack AI application, suggests a proactive and versatile individual. However, without more information on team collaboration or problem-solving approaches, a deeper cultural fit analysis is not possible.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on optimizing AI/ML pipelines and managing technical support, suggesting an ability to troubleshoot and improve processes. The project descriptions are clear, implying good communication skills in technical contexts. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.