Help & Supportcareers@gravityer.com
AI Engineer with less than a year in LLMs, Generative AI, Deep Learning, and Python-based applicatio
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated AI & Data Science engineer with hands-on experience in LLMs, Generative AI, deep learning, and Python-based AI application development. Eager to contribute to AI-powered automation solutions, model development, and research into emerging AI technologies.
Sales Forecasting Web Application
January 1, 2026 – Present
Developed a full-stack web app for sales forecasting using LSTM and ARIMA machine learning models. Built data ingestion, prediction pipeline, and interactive Power BI dashboards for result visualization. Implemented REST API integration between Angular JS frontend and Flask backend via Axios.
LLM-Based Offline Human-Like Response Generator
January 1, 2026 – Present
Built a tool leveraging state-of-the-art LLMs (GPT-3.5, BART) for high-quality text generation and summarization. Engineered offline functionality using BART (desktop) and DistilBERT (Android) for environments with limited connectivity. Focused on prompt engineering and contextual relevance to produce autonomous, coherent responses. Streamlined professional workflows across diverse industries with a versatile and adaptable AI tool.
AI-Based Personal Assistant in Linux Distro
January 1, 2026 – Present
Designed and deployed a Linux-based AI personal assistant for file organization, image management, and email handling. Integrated LLM-based email summarization and speech synthesis for hands-free, seamless communication. Implemented voice control using Google Speech-to-Text and Pyttsx3 for intuitive user interaction. Leveraged VGG and ResNet for image classification within the assistant pipeline.
FreeCodeCamp Responsive Web Designer Certification
FreeCodeCamp
June 1, 2026 – Present
Finalist - HACK@SKCET: 48-hour Hackathon
SKCET
June 1, 2026 – Present
Finalist - DEVHACK 2023: Hackathon
TN STARTUP
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in AI and data science, aligning well with an AI Engineer role. The diversity of projects (forecasting, LLM generation, personal assistant) shows adaptability and a broad technical curiosity. Participation in hackathons suggests a proactive and competitive spirit, which can be a good cultural fit for innovative teams. However, the lack of professional experience makes it difficult to assess collaboration and long-term team dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work independently on complex technical challenges. The hackathon achievements imply teamwork and problem-solving under time constraints. However, without direct experience or explicit soft skill evaluations, a comprehensive assessment of operational fit is limited.