Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in Generative AI and Python Backend Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI / ML Engineer with hands-on experience in Machine Learning, NLP, LLMs, and RAG systems. Developed AI solutions with Python, Flask, FAISS, LangChain, and Ollama, with strong focus on backend systems and scalable applications.
Chhatrapati Shahu Ji Maharaj University
Bachelor of Technology · Computer Science (A.I)
August 1, 2021 – June 30, 2025
Infosys Limited
Artificial Intelligence Intern in BPM Role (PM Internship Scheme)
July 1, 2025 – Present
Mangalore, Karnataka, India
Infosys Springboard Internship 5.0(B2)
Project: AI-Powered Call Center Intelligence(Medical Chatbot)
October 1, 2024 – December 1, 2024
India
Ybi Foundation
Data Science and Machine Learning Intern
June 1, 2024 – July 1, 2024
India
Medical Chatbot with Generative AI
June 1, 2026 – Present
Developed a RAG-based medical assistant using Flask, LangChain, and Pinecone. Processed and indexed 3,600+ pages of medical encyclopedia data for domain-specific question answering. Improved response relevance and reduced hallucinations through retrieval grounding and prompt engineering. Implemented multi-turn conversational workflows for better user experience.
View ProjectAI Document Analyzer with RAG
June 1, 2026 – Present
Developed an end-to-end AI document intelligence platform using Flask, FAISS, and Ollama (Llama 3). Supported PDF, DOCX, TXT, CSV, Excel, and image ingestion with OCR-based extraction. Created semantic retrieval workflows using embeddings and vector search for contextual Q&A. Produced automated summaries, MCQs, and grounded responses from uploaded documents. Improved user experience by generating MCQs on demand for faster interactions.
View ProjectSelected under the Government of India's Pradhan Mantri Internship Scheme (PMIS)
Government of India
June 1, 2026 – Present
Presented a research paper at ICRAECCT 2025 (International Conference)
ICRAECCT 2025 (International Conference)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's involvement in diverse projects (AI Document Analyzer, Medical Chatbot, Financial Data Analysis) and internships (Infosys, YBI Foundation) demonstrates adaptability and a broad interest in applying AI across different domains. The focus on Generative AI and RAG systems aligns well with current industry trends for an AI Engineer role. Participation in extracurriculars and a research paper presentation indicates a proactive and engaged individual, which generally contributes positively to cultural fit. The candidate's education in Computer Science (A.I) further strengthens the alignment with an AI-focused role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and improve user experience, suggesting a focus on practical application and user-centric design. Participation in internships and a research paper presentation also points to a proactive and learning-oriented attitude. However, without specific psychometric or English test results, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.