Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in Python, Data Analytics & 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
Final-year Electronics and Communication Engineering student with knowledge of Python, Data Analytics, IoT, and Machine Learning. Experienced in developing AI and IoT-based projects and eager to contribute technical and problem-solving skills in Software Development, Data Analytics, or Embedded Systems roles while continuously learning emerging technologies.
B.E Electronics and Communication Engineering
B.E · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
VEI Technologies
Python Full Stack Intern
January 1, 2025 – Present
India
Campalin
Data Science Intern
January 1, 2024 – March 31, 2024
India
TerNet: FPGA-Optimized Ternary Neural Network Accelerator
June 20, 2026 – Present
Developed a ternary neural network framework to improve inference efficiency and reduce memory consumption for edge AI applications.
Personalized Product Recommendation System for E-Commerce
June 20, 2026 – Present
Developed a recommendation engine to suggest products based on customer preferences and browsing history.
Cultural Fit Analysis
The candidate's academic projects show initiative in exploring advanced topics like ternary neural networks and recommendation systems. The internships, while foundational, demonstrate a willingness to gain practical experience in data science and full-stack development. This diversity suggests adaptability and a learning-oriented mindset, which can contribute positively to a collaborative culture. However, the limited professional experience means cultural fit would need further assessment during interviews.
Soft Skills & Operational Fit
The candidate's resume indicates an eagerness to learn and contribute, which are positive traits. However, specific soft skills like problem-solving, teamwork, or communication are not explicitly detailed beyond general project descriptions. Operational fit is moderate given the academic background and internship experience, suggesting a need for structured guidance in a professional AI engineering environment.