Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Machine Learning & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fresher AIML Engineer with hands-on experience in Machine Learning and AI. Proficient in Python, Tensorflow, PyTorch, NLP, and AI services. Seeking a full-time AIML Engineer role to apply and grow skills in real-world AI applications.
Indur Institute Of Engineering And Technology
Diploma
N/A – Present
Megha Institute Of Engineering and Technology for Women
B.Tech · Computer Science Engineering
N/A – June 30, 2026
SYNYCS Group
AI Engineer Intern
April 1, 2026 – May 1, 2026
India
Smart Grid Energy Demand Forecasting Using Machine Learning
June 1, 2026 – Present
• Developed a predictive ML model to forecast electricity consumption using smart meter reading and environmental data. • Utilized temperature, humidity and time-based features to predict hourly and daily energy demand trends. • Tools: Python, Pandas, Numpy, Scikit-learn, LightGBM, Matplotlib, Seaborn, Joblib, Jupyter Notebook, StandardScaler.
Credit Card Fraud Detection Using Random Forest
June 1, 2026 – Present
• Developed a credit card fraud detection system using random forest algorithm to classify transactions. • Fraud detection is a critical application of AI and ML in the banking and financial sector, helping organizations. • Tools: Python, Pandas, Numpy, Scikit-learn, Random Forest, RandomizedSearchCV, StandardScaler, Joblib, Matplotlib, Seaborn.
Smart Invoice Generator Using Generative AI
June 1, 2026 – Present
• Developed a Generative AI based system to convert bill and receipt images into structured digital invoices. • Reduced manual data entry and improved financial documentation accuracy. • Tools: Python, OpenCV, EasyOCR, Pandas, Streamlit, Hugging Face LLM.
Cloud Infrastructure AI Foundations Certified Associate
Oracle University
June 1, 2026 – Present
Machine Learning Certification
Kaggle
June 1, 2026 – Present
Introduction to Generative AI & GitHub Copilot
Microsoft
June 1, 2026 – Present
Python Certification
Kaggle
June 1, 2026 – Present
Neural Networks, Image Classification & Object Detection
Google AI/ML Skill Badges
June 1, 2026 – Present
Data Science Foundation & Artificial Intelligence Expert
IABAC
April 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity (energy forecasting, invoice generation, fraud detection) indicate a broad interest in applying AI/ML across different domains. The certifications from various platforms (IABAC, Oracle, Google, Microsoft, Kaggle) suggest a strong drive for continuous learning and self-improvement, which aligns well with a culture of innovation and growth. The target role of AI Engineer is well-aligned with the candidate's stated professional summary and project work. However, the lack of team-based project descriptions or collaborative experiences makes it difficult to fully assess cultural fit beyond individual drive.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and applying AI/ML concepts through academic projects and certifications. The internship experience, though short, shows exposure to a full-stack AI application development environment, suggesting an ability to integrate into operational workflows. However, with limited professional experience, the depth of soft skills like complex problem-solving, stakeholder communication, and independent decision-making in a corporate setting is yet to be fully demonstrated.