Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Machine Learning & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Artificial Intelligence Engineer, Data Science Enthusiast, and Software Developer. Skilled in Machine Learning, NLP, Data Analytics, and Python. Experienced in developing data-driven applications, building visualization dashboards, and applying predictive modeling techniques. Seeking an internship in Data Science, AI, or Software Development to contribute analytical and technical expertise.
Dr. Ambedkar Institute of Technology
Bachelor of Engineering · Artificial Intelligence
August 1, 2022 – June 30, 2026
KPS PU College, Arsikere
Pre-University · Science
June 1, 2020 – May 31, 2022
Adichunchanagiri English High School
High School
June 1, 2017 – May 31, 2020
Banao Technologies
Python Developer Intern
January 1, 2026 – Present
India
Interactive Data Visualization Platform
June 28, 2026 – Present
Built dynamic dashboards for academic and personal datasets. Implemented advanced DAX measures and Power Query for analytical insights. Enabled end-to-end data reporting and visualization.
Real-Time Object Detection for Road Safety
June 28, 2026 – Present
Developed a real-time object detection system for identifying pedestrians, vehicles, and road markings using computer vision. Designed an interactive PyQt5-based GUI enabling feature toggling, live frame analysis, and image capture. Managed version control, documentation, and enhancements using GitHub.
Python with Data Science
PySpider, Bengaluru
January 1, 2025 – Present
Python Micro Degree
Micro Degree, Bengaluru
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in Artificial Intelligence and their project work in object detection and data visualization show a clear interest and alignment with an AI Engineer role. Their certifications in Python and Data Science further reinforce this alignment. However, the project diversity is somewhat limited to academic contexts, and the experience is primarily internship-level, which might require more mentorship in a senior role. The breadth of skills is good for an entry-level AI role, but for a senior position, more depth in specific AI domains and real-world system deployments would be expected.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying technical skills, as evidenced by their academic projects and certifications. Their internship experience highlights collaboration, participation in code reviews, and adherence to agile methodologies, indicating a good operational fit for team-based development environments. The focus on data processing and automation aligns well with typical AI engineering tasks.