Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in Generative AI & Intelligent Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with experience in developing AI-powered applications, Generative AI solutions, and intelligent automation systems using Python, FastAPI, LangChain, and Large Language Models (LLMs). Hands-on experience building AI agents, Retrieval-Augmented Generation (RAG) applications, NLP solutions, workflow automation systems, and full-stack AI platforms. Skilled in machine learning, data analysis, information retrieval, feature engineering, model evaluation, and business process automation. Experienced in integrating AI-driven workflows, RPA solutions, and scalable software systems to improve operational efficiency and decision-making. Passionate about leveraging Generative AI, data science, and intelligent automation to solve real-world business challenges.
Savitribai Phule Pune University
BSc Computer Science · Computer Science
August 1, 2021 – June 30, 2024
GlobalStep
Test engineer
January 29, 2026 – Present
India
Maxnet Technologies LLC
Developer Trainee
March 10, 2025 – January 20, 2026
India
Machine Learning Sales Prediction System
June 24, 2026 – Present
Developed a predictive analytics solution using Linear Regression to estimate sales outcomes from advertising expenditure. Performed data preprocessing, exploratory data analysis (EDA), feature engineering, and model evaluation. Built an end-to-end machine learning pipeline using Python and Scikit-learn. Developed an interactive Streamlit application for real-time sales prediction and visualization. Conducted performance analysis using regression metrics and model validation techniques.
AI-Powered Multilingual Review Analysis System
June 24, 2026 – Present
Developed an NLP-driven multilingual sentiment analysis system using LLaMA 3.1 and TextBlob. Applied text mining and sentiment classification techniques to analyze customer feedback across multiple languages. Generated context-aware responses using Generative AI and prompt engineering techniques.
MedAI: Health RAG Assistant
June 24, 2026 – Present
Developed a Retrieval-Augmented Generation (RAG) healthcare assistant providing evidence-based responses using LLMs. Implemented semantic search and information retrieval using HuggingFace embeddings, pgvector, and Supabase. Designed scalable AI workflows integrating FastAPI, vector databases, and Generative AI models. Built real-time conversational AI capabilities using Llama 3 and Server-Sent Events (SSE).
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and initiative in cutting-edge AI technologies, aligning well with an innovative and research-driven culture. The diversity of projects (sales prediction, multilingual sentiment analysis, healthcare RAG assistant) shows a broad application interest within AI. The 'Developer Trainee' experience, focusing on AI agents and automation, directly aligns with the target role of an AI Engineer. The candidate's background suggests a proactive learner eager to apply AI to solve real-world problems. However, the current role as a 'Test Engineer' is a deviation from the AI path, which might indicate a temporary shift or a need for more focused AI experience.
Soft Skills & Operational Fit
The candidate's resume indicates a structured approach to project development and problem-solving. The 'Developer Trainee' role at Maxnet Technologies LLC suggests an ability to work on complex AI agent development and monitoring platforms, implying good operational fit for roles requiring end-to-end AI solution development. The 'Test Engineer' role, while not directly AI-related, shows attention to detail and quality assurance, which are valuable in any engineering discipline. However, without specific psychometric test results, a comprehensive assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.