Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Machine Learning & Web Development
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 and results-driven individual pursuing a Bachelor of Technology in Artificial Intelligence & Machine Learning. Possessing foundational knowledge in Python, Java, HTML, CSS, and frameworks like TensorFlow/Keras and React. Proven ability to build intelligent systems and web applications, as demonstrated through projects like Stock Market Prediction using LSTM and a Food Ordering Web App. Certified in SAP, Salesforce, Oracle Cloud Infrastructure, and NPTEL Java, with strong problem-solving and self-learning capabilities.
Sri Vasavi Engineering College
Bachelor of Technology · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
Sri Chaitanya Junior College
Intermediate/+2
June 1, 2020 – May 31, 2022
Sri Chaitanya Techno English Medium High School
Matriculation
June 1, 2019 – May 31, 2020
Stock Market Prediction using LSTM
June 8, 2026 – Present
Built a stock price prediction model using LSTM. Collected and preprocessed data, trained the model using time series techniques.
WaffleCrave – Food Ordering Web App
June 8, 2026 – Present
Created a web application for food ordering with a responsive UI and smooth navigation. Implemented product listing, cart flow, and API integration to enable real-time data handling and improve user experience.
SAP Certified Associate – Back-End Developer – ABAP Cloud
SAP
February 1, 2026 – February 1, 2027
Salesforce Certified Agentforce Specialist
Salesforce
December 1, 2025 – Present
Oracle Certified Professional: Oracle Cloud Infrastructure - Generative AI
Oracle
July 1, 2025 – Present
NPTEL Certification in Programming in Java
NPTEL
January 1, 2025 – April 1, 2025
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in both AI/ML and web development, showing some versatility. The certifications indicate a drive for continuous learning and alignment with modern cloud and AI technologies. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate lists Problem Solving, Self-learning, and Adaptability as soft skills, which are beneficial for an AI Engineer role. However, without practical experience or specific examples, the depth of these skills cannot be fully assessed. The academic projects show an ability to complete defined tasks.