Help & Supportcareers@gravityer.com
AI Engineer with less than a year in LLM post-training & machine learning systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Third-year B.Tech student in Artificial Intelligence & Data Science with hands-on experience in Large Language Model (LLM) post-training, Al evaluation, and machine learning systems. Skilled in Python, data science workflows, and real-world AI applications involving forecasting and analytics. Passionate about Generative AI, autonomous systems, and applied research.
Sanjivani University
Bachelor of Technology · Artificial Intelligence & Data Science
August 1, 2024 – June 30, 2028
Ethara AI
LLM Post-Training Intern
February 1, 2026 – May 1, 2026
India
AnantaNetra – AI-Powered Air Quality System
June 1, 2026 – Present
Built forecasting pipelines using LSTM, ARIMA, satellite (TEMPO), and OpenAQ datasets for air quality prediction Designed real-time dashboards for pollution trends and public health insights with interactive visualizations
Completed intensive professional Data Analytics Job Simulation
Deloitte (via Forage)
June 1, 2026 – Present
Comprehensive training in Data Analysis with Python, Agile methodologies, DevOps, and Design Thinking
IBM Skills Network
June 1, 2026 – Present
Bridging the Gap: An AI-Driven Approach to Make Urban Public Transport More Inclusive and Sustainable
Transformative Transport Conference (Scopus Indexed)
June 1, 2026 – Present
Certified expertise in MongoDB for Students and advanced database Transactions
MongoDB University
June 1, 2026 – Present
AnantaNetra: Environmental Monitoring System
International Journal of Emerging Technologies and Innovative Research (JETIR)
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's profile shows a strong interest in applied AI and data science, aligning well with an AI Engineer role. Their project on 'AnantaNetra' and research on 'Inclusive and Sustainable Transport' indicate a commitment to impactful, real-world applications, which can be a positive cultural fit for organizations focused on innovation and societal benefit. However, the breadth of experience is limited to a single internship and personal project, which might require further assessment for diverse team environments and complex operational challenges.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and practical application, as evidenced by their internship, personal projects, and certifications. Their involvement in research and publications suggests a collaborative and inquisitive mindset. The psychometric test score indicates a reasonable capacity for logical reasoning and work attitude, though specific details on stress handling and team collaboration are not provided beyond the general focus areas.