Help & Supportcareers@gravityer.com
AI Engineer with 2+ years in Machine Learning & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Post Graduate Diploma (PGD) graduate in Artificial Intelligence and Machine Learning with strong skills in programming, machine learning, deep learning, natural language processing, computer vision, and modern web technologies. Recognized for quick learning ability, teamwork, and adaptability. Passionate about developing innovative AI-driven solutions to solve real-world problems. Seeking opportunities to contribute to impactful AI and software development projects while continuously enhancing technical expertise and delivering value to organizational success.
Dr. Vishwanath Karad MIT World Peace University
PG Diploma · Artificial Intelligence and Machine Learning
August 1, 2025 – June 30, 2026
Yashwantrao Chavan Institute of Science
Bachelor of Science · Computer Science
August 1, 2022 – June 30, 2025
Recipe Management System
January 1, 2025 – January 1, 2026
Developed a database-driven Recipe Management System that allows users to add, search, update, and manage various recipes efficiently. Designed relational database tables to store recipe details, ingredients, categories, cooking instructions, and user information using DBMS concepts and SQL queries. Implemented CRUD operations and search/filter functionalities for seamless recipe organization and retrieval. Built an interactive web interface enabling users to explore recipes, manage favorite dishes, and maintain structured food-related data efficiently.
Multimodal AI-Based Interview Performance Evaluation System
January 1, 2025 – January 1, 2026
Developed a Multimodal AI-Based Interview Performance Evaluation System that analyzes candidate performance through speech recordings and resume data. Implemented Natural Language Processing (NLP) and Machine Learning techniques to evaluate communication skills, answer quality, fluency, confidence, sentiment, and ATS resume compatibility. Built multiple predictive models using Random Forest algorithms for interview scoring, answer classification, fluency detection, and resume assessment. Integrated speech-to-text conversion, sentiment analysis, keyword matching, and personalized interview question generation to provide comprehensive performance feedback. Designed and deployed an interactive Streamlit-based web application that enables users to upload resumes and interview recordings, visualize performance metrics, identify improvement areas, and receive automated evaluation reports for effective interview preparation.
AI-Powered Business Automation System for Local Vendors
January 1, 2025 – January 1, 2026
Developed an AI-driven application that extracts key invoice details such as invoice number, date, vendor name, and total amount from scanned or uploaded invoices using OCR and ML models. The system integrates automated data validation, clustering, and basic forecasting techniques to help local vendors analyze trends and make informed business decisions. An interactive Streamlit dashboard was designed to enable users to upload invoices, visualize extracted data, and generate summary reports, providing a seamless and efficient business management experience.
Mobile Shop (Web Application)
January 1, 2024 – January 1, 2025
Developed a responsive web-based platform for buying and selling second-hand mobile phones. The system allows sellers to list devices with details and images, while buyers can search, filter, and purchase based on preferences. Features include user registration, login authentication, and a cash-on-delivery payment option. The project aims to provide a seamless and reliable e-commerce experience.
Machine Learning for Natural Language Processing
AWS
January 1, 2026 – Present
AWS Academy Graduate - Cloud Foundations
AWS Academy
January 1, 2026 – Present
LLM and Agentic AI
MIT World Peace University
January 1, 2025 – Present
Programming & AI
Infosys Springboard
January 1, 2025 – Present
GenAI for Professionals: 10x Your Productivity
Udemy
January 1, 2025 – Present
Implementing Deep Learning: Optimized Deep Learning Applications
Infosys Springboard
January 1, 2025 – Present
Deep Learning with Keras
Infosys Springboard
January 1, 2025 – Present
An Introduction to AI and Sustainability
LinkedIn Learning Community
January 1, 2025 – Present
Python for Data Science: From Basics to Projects
SkillEcted
January 1, 2025 – Present
Attention Mechanism
Simplilearn SkillUp
January 1, 2025 – Present
Introduction to Artificial General Intelligence (AGI): Future of AI
Udemy
January 1, 2025 – Present
Implementing Deep Learning: Practical Deep Learning using Frameworks & Tools
Infosys Springboard
January 1, 2025 – Present
Machine Learning with Python: Foundations
LinkedIn Learning
January 1, 2025 – Present
National Conference on Threat Hunting Conclave 2024
Y.C.I.S., Satara
January 1, 2024 – Present
Employability Skill Training Program
Naandi Foundation / Mahindra Pride Classroom
January 1, 2024 – Present
Certificate Course in Java Programming
SiiT Education
January 1, 2024 – Present
Value Added Course in System Administration & Technology
Y.C.I.S., Satara
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a good alignment with an AI Engineer role, particularly the 'Multimodal AI-Based Interview Performance Evaluation System' and 'AI-Powered Business Automation System'. The academic projects demonstrate initiative and a practical approach to problem-solving using AI. The breadth of certifications in AI/ML, cloud, and programming indicates a strong desire for continuous learning and skill development, which aligns well with a growth-oriented culture. However, the lack of professional experience means cultural fit is primarily inferred from academic achievements and project types.
Soft Skills & Operational Fit
The candidate's profile summary highlights quick learning ability, teamwork, and adaptability, which are positive indicators for operational fit. Project descriptions suggest an ability to work on end-to-end solutions, from data processing to interactive web interfaces. However, without direct work experience or psychometric test results, it's difficult to fully assess stress handling or team collaboration in a professional setting.