Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Gen AI, Python & 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
Highly motivated Gen AI Engineer Intern with 4 months of experience in building and deploying AI-powered solutions. Skilled in Gemini LLM, FastAPI, ChromaDB, LangChain, PyTorch, and Stable Diffusion for various applications including voice assistants, RAG systems, and creative content generation. Proven ability to improve system accuracy, reduce response times, and automate workflows in AI/ML projects.
KJ Somaiya Institute of Technology
Bachelor of Technology · Electronic and Telecommunication Engineering
August 1, 2022 – June 30, 2026
Neurabit Solutions LLP
Gen AI Engineer Intern
August 1, 2025 – November 30, 2025
India
Technical Troubleshooting Agent - RAG Project
June 1, 2026 – Present
Developed an agentic Retrieval-Augmented Generation (RAG) system using LangChain and Streamlit, automating technical issue resolution and reducing manual troubleshooting efforts by 60%. Integrated structured and unstructured datasets (e.g., IT logs, chat transcripts) into a semantic search pipeline using FAISS and OpenAI embeddings, improving query accuracy by 45%. Engineered a multi-step intelligent agent with memory and tool use, enhancing diagnostic flow efficiency by 50% and user engagement with dynamic interaction.
SkinSence AI - Machine Learning Project
June 1, 2026 – Present
Built an AI-powered dermatology platform using FastAPI, PyTorch(CNN), React, and Gemini API, enabling end-to-end skin disease screening across 7 conditions with 85% classification accuracy and diagnosis delivery in under 30 seconds. Engineered a scalable REST API backend using FastAPI with JWT authentication, multipart image upload handling, and end-to-end patient flow from diagnosis to AI doctor appointment booking. Integrated Gemini API to power 3 AI specialist doctor personas with real-time consultation, automated post-session clinical summaries, and scan-linked appointment context, cutting consultation setup time by 70%.
AI Creative Studio - Gen AI Project
June 1, 2026 – Present
Developed an AI-driven creative generation system using FastAPI and Streamlit, producing 4–12 brand-consistent marketing visuals per request through Stable Diffusion–based image synthesis. Architected a multimodal inference pipeline combining Stable Diffusion, brand color extraction, and LLM-based caption generation (Gemini), cutting manual creative effort by ~80%. Implemented a robust API-first backend with dynamic model switching, batch asset packaging, and fault-tolerant inference, enabling scalable and reliable creative generation workflows.
Cultural Fit Analysis
The candidate's project portfolio showcases a strong interest and hands-on experience in cutting-edge AI technologies, aligning well with an AI Engineer role. The diversity of projects (RAG, Gen AI Creative Studio, Dermatology Platform) indicates a broad curiosity and ability to apply AI in different domains. The internship experience, though short, further solidifies their practical application of AI. However, the lack of team-based projects or open-source contributions makes it difficult to assess collaboration and broader cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through their diverse personal projects. Their ability to work with various AI frameworks and integrate different technologies suggests adaptability. The internship experience indicates a capacity for contributing to real-world applications and improving operational metrics. However, without specific behavioral assessment data, a comprehensive evaluation of soft skills like teamwork, leadership, and stress handling is limited.