Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am Shivakumar, a motivated and enthusiastic Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning at Alliance University, Bengaluru, with an expected graduation year of 2026. I am passionate about technology, problem-solving, and building intelligent applications that can create real-world impact. I enjoy learning new technologies and continuously improving my technical and analytical skills through projects, coding practice, and certifications. My technical skills include Python, Java, HTML, CSS, MySQL, FastAPI, Flask, Django, TensorFlow, PyTorch, REST APIs, and basics of Generative AI. I also have a strong understanding of Data Structures, Object-Oriented Programming, Operating Systems, and Computer Networks. I am comfortable working with tools and platforms such as Git, GitHub, Google Colab, Jupyter Notebook, and VS Code. I completed an Industry Immersion Bootcamp organized by the Alliance School of Advanced Computing, where I gained practical exposure to Data Structures, Logical Reasoning, Critical Thinking, and structured problem-solving. I was awarded an Elite Certificate of Achievement for my consistent performance during the program. I have worked on projects including an Intelligent College FAQ Chatbot using Python, FastAPI, NLP, and Generative AI, as well as an AI-Powered Medical Report Summarizer using BioBERT and ClinicalBERT. These projects helped me strengthen my skills in Artificial Intelligence, Natural Language Processing, backend development, and AI-driven applications. In addition, I actively practice coding and problem-solving. I have solved more than 150 problems on LeetCode and achieved a 5-star rating on HackerRank in both Java and Python. I am a quick learner, hardworking, adaptable, and always eager to contribute to innovative and challenging projects while growing professionally and technically.
Alliance University. Bangalore
B. Tech /CSE(AIML) · Computer science and engineering
December 1, 2022 – June 1, 2026
Oakland Promise Safeway Tech Immerison Program
DSA with Java
April 30, 2025 – June 27, 2025
Bangalore Urban, Karnataka, India
AI-AR-Cognitive-Behavioral-Therapy-An-Immersive-Framework-for-Anxiety-Management-main
December 29, 2025 – May 10, 2026
ChatGPT said: AI AR CBT Anxiety Management is a full-stack web application developed to support anxiety management using Cognitive Behavioral Therapy (CBT) techniques combined with therapeutic visual assistance. The system allows users to share their feelings through text input, analyzes the emotional context using explainable CBT-based logic, and provides personalized positive suggestions along with three calming therapeutic images selected from a predefined dataset. I worked as the Full-Stack Developer and was responsible for designing and implementing both the frontend and backend of the application. I developed the user interface using React, Vite, and JavaScript to create a responsive and user-friendly experience. On the backend, I used Node.js and Express to handle API requests, user interaction processing, and image recommendation functionality. I also structured the project for future integration with AI models, augmented reality (AR) features, and database scalability. Key achievements of the project include creating an explainable rule-based CBT suggestion system, integrating therapeutic image recommendations for emotional comfort, designing a clean and accessible UI, and developing a scalable architecture ready for future AI and healthcare enhancements. The project demonstrates skills in frontend development, backend API creation, mental health technology solutions, and user-focused application design. Project Link: https://ai-ar-cbt.netlify.app/
View ProjectAI-Powered-Medical-Report-Summarizer
June 12, 2025 – October 10, 2025
MedLite – AI-Powered Medical Report Summarizer is an AI-based healthcare application developed to simplify complex medical reports into patient-friendly summaries and key findings. The system uses advanced Natural Language Processing (NLP) and transformer-based AI models such as BART, T5, BioBERT, and ClinicalBERT to analyze medical documents and generate understandable explanations for patients and healthcare learners. The application supports PDF and TXT file uploads, automatically extracts important medical information, translates difficult medical terminology into simple language, and provides downloadable summaries for future reference. Pasted text I worked as the Full-Stack and AI Developer for this project. My responsibilities included designing the user-friendly Streamlit interface, implementing AI-powered summarization logic using Hugging Face Transformers, integrating PDF text extraction modules, and developing the medical terminology translation system. I also created sample medical datasets, optimized model performance, and structured the application for scalability and healthcare-focused usability. Key achievements of the project include developing an intelligent medical report summarization system, implementing support for multiple medical specialties such as cardiology, neurology, pulmonology, oncology, and endocrinology, creating a medical jargon translation dictionary with 100+ simplified terms, and designing a responsive and accessible interface for both patients and healthcare learners. The project demonstrates expertise in Artificial Intelligence, NLP, Python development, transformer models, Streamlit, and healthcare technology solutions. Technologies Used: Python, Streamlit, Hugging Face Transformers, PyTorch, spaCy, PDFMiner, Pandas, BART, T5, BioBERT, ClinicalBERT.
View ProjectCompiler Design
NPTEL
April 29, 2025 – Present
Machine Learning with Python
Coursera
April 16, 2024 – Present
Cultural Fit Analysis
The candidate exhibits a strong passion and commitment to the AI/ML domain, as evidenced by their specialized degree, project choices, and certifications. Their engagement in competitive programming and hackathons suggests a drive for continuous learning, innovation, and tackling challenges, which aligns well with a dynamic tech culture.
Soft Skills & Operational Fit
The candidate's participation in hackathons and consistent performance in a bootcamp suggest a proactive, problem-solving attitude and a capacity for structured learning. While direct professional soft skill demonstration is limited due to their student status, the clear presentation of projects indicates good organizational and communication skills.