Help & Supportcareers@gravityer.com
Entry-level AI/ML Engineer with Python and Data Science skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech AI & Data Science fresher with hands-on experience building ML models, data pipelines, and Streamlit-based AI applications. Completed internships at IBM (Full Stack) and VDart Academy (AI/ML). Passionate about applying supervised & unsupervised learning to real-world problems. Seeking an entry-level AI/ML role to contribute to impactful, data-driven products.
Chettinad College of Engineering & Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – Present
Vivekananda Higher Secondary School
H.S.C · Higher Secondary
N/A – May 31, 2022
Vivekananda Higher Secondary School
S.S.L.C · Secondary School
N/A – May 31, 2020
VDart Academy
AI / ML Internship
January 1, 2023 – December 31, 2023
Mannargudi, Tamil Nadu, India
IBM
Full Stack Development Internship
January 1, 2023 – December 31, 2023
India
Skill Vertex
Web Development Internship
January 1, 2023 – December 31, 2023
India
Smart Traffic Signal Optimization
January 1, 2026 – Present
Built a real-time traffic management system that dynamically adjusts signal timing based on vehicle density. Applied image processing to detect and count vehicles from camera/video inputs; simulated via Arduino + LEDs. Demonstrates practical ML + IoT integration core skill for AI/ML engineering roles.
ML Practice Platform
January 1, 2026 – Present
Interactive app for end-to-end ML pipeline: data preprocessing → model training → evaluation & visualization. Supports algorithm selection and performance comparison built with Python + scikit-learn + Streamlit.
Folder Creation Automation Tool
January 1, 2026 – Present
Python + Streamlit tool to auto-generate structured project directories, reducing setup errors and manual effort.
Cultural Fit Analysis
The candidate's project diversity, including personal and academic projects, shows initiative and a passion for AI/ML. The 'Smart Traffic Signal Optimization' project demonstrates an ability to integrate different technologies (ML, IoT, image processing), indicating adaptability. The internships, while varied, show a willingness to learn and contribute. However, the lack of professional experience beyond internships and academic projects might require a team that can provide mentorship and structured growth opportunities.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, collaboration, time management, and continuous learning as soft skills. These are crucial for an AI Engineer role, especially in collaborative project environments. The project descriptions indicate an ability to work on end-to-end solutions, which suggests good operational fit for project execution.