Help & Supportcareers@gravityer.com
AI Engineer with less than a year in IoT & 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
Enthusiastic Computer Science Engineering student (Batch of 2025) with strong proficiency in Python, SQL, HTML, CSS, JavaScript, and Django. Skilled in software development, database management, and problem-solving. Passionate about web development and AI-driven solutions. Eager to contribute to dynamic projects and grow as a Software Engineer / Full Stack Developer.
R.M.D Engineering College
Computer Science Engineering · Computer Science Engineering
August 1, 2021 – June 30, 2025
Velammal. Mat. Hr. Sec. School
12th
June 1, 2020 – May 31, 2021
Velammal. Mat. Hr. Sec. School
10th
June 1, 2018 – May 31, 2019
DLK Technologies Pvt Ltd
Artificial Intelligence
July 1, 2023 – July 1, 2023
India
ENVIROTECH: REVOLUTION WASTE MANAGEMENT WITH IOT-DRIVEN AUTOMATED SEGEREGATION AND ALERTS
June 28, 2026 – Present
Developed an IoT-enabled automated waste management system using Python, Embedded C, ESP32, and sensor integration to segregate biodegradable and non-biodegradable waste through image processing and machine learning. Implemented gas, temperature, and ultrasonic sensors for real-time monitoring and optimized waste collection via an IoT dashboard, promoting smart and sustainable urban waste management.
HAND GESTURE RECOGNITION
June 28, 2026 – Present
Developed a hand gesture recognition system using Python, TensorFlow, Keras, and OpenCV to classify American Sign Language (ASL) gestures through Convolutional Neural Networks (CNNs), achieving over 90% accuracy in prediction.
GenAI Powered Data Analytics Job Simulation
TATA
October 1, 2025 – Present
CREATE YOUR FIRST PYTHON PROGRAM
UST
February 1, 2025 – Present
PYTHON FULL STACK DEVELOPMENT
QSPIDERS
December 1, 2024 – July 1, 2025
REACT. JS TUTORIA
GREAT LEARNING
October 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in applying AI to real-world problems (waste management, accessibility), suggesting a proactive and impact-driven mindset. The breadth of skills listed, from frontend to backend, cloud, and AI, indicates a versatile individual eager to learn and contribute across different areas. However, the experience level is very junior (internship only), which might require significant mentorship and integration into a senior team.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication & collaboration, and quick learner as soft skills. The project descriptions indicate an ability to apply technical knowledge to solve practical problems. However, without specific assessment data on these soft skills, it's difficult to fully evaluate operational fit beyond what's stated.