Help & Supportcareers@gravityer.com
AI Engineer with less than a year in LLMs, RAG, NLP, and 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
Aspiring Generative Al Engineer with hands-on experience in LLMs, RAG, NLP, and Machine Learning through projects and internships. Proficient in Python, LangChain, ChromaDB for developing Al-powered applications. Eager to contribute strong problem-solving skills and build intelligent, scalable Al solutions.
Noida Institute of Engineering and Technology (NIET)
B.Tech · Computer Science & Engineering (Data Science)
August 1, 2022 – June 30, 2026
Ethara.ai
LLM Intern
April 1, 2026 – May 1, 2026
Gurgaon, Haryana, India
Primathon Technology
Associate Software Developer Intern
January 1, 2026 – March 1, 2026
Gurgaon, Haryana, India
Sales Forecasting Using XGBoost
June 1, 2026 – Present
Built an end-to-end ML pipeline using XGBoost to forecast Walmart sales, reduced RMSE by 18% compared to a baseline model. Performed data cleaning, preprocessing, EDA, and feature engineering using Pandas. Optimized model using hyperparameter tuning and evaluated using RMSE and MAE.
AI Video Assistant
June 1, 2026 – Present
Built an end-to-end Generative AI pipeline for audio/video processing using speech-to-text transcription and NLP. Developed LLM-based features using Mistral AI for summarization, title generation, and extraction of action items, decisions, and questions. Implemented a RAG-based Q&A system using vector embeddings and ChromaDB for contextual retrieval over transcripts and deployed via Streamlit for interactive querying.
Advanced RAG Chatbot
June 1, 2026 – Present
Developed a Retrieval-Augmented Generation (RAG) chatbot enabling natural language question answering over uploaded PDF documents. Built a semantic retrieval pipeline using LangChain, vector embeddings, and ChromaDB to provide context-aware responses from document content.
Programming Using Java
Infosys Springboard
June 1, 2026 – Present
Data Analysis with Python
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and initiative in AI/ML, particularly Generative AI, which aligns well with an AI Engineer role. The diversity of projects (video assistant, chatbot, sales forecasting) shows a breadth of application areas. However, the experience is primarily academic and personal projects, with limited professional experience, which might require more mentorship in a professional setting. The candidate is still pursuing a bachelor's degree, indicating a junior-to-mid-level fit for a senior role.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, analytical thinking, team collaboration, and communication as soft skills. The psychometric test score of 308/500 suggests average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration, indicating potential areas for development in operational fit. The English test score of 77/100 indicates good communication clarity.