Sheethal GK
Open to work6 years experienceAI & Data Science Engineer
AI & Data Science engineering student with experience in machine learning, LLMs, and full-stack AI development.
Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
35 skillsWork Experience
Software Developer Intern
Flexrad
- Engineered AI-powered features for FlexReport.AI using Generative AI and Large Language Models (LLMs) to simplify complex medical reports into patient-friendly explanations.
- Integrated and tested LLM APIs for automated report summarization, improving the accessibility and understanding of radiology and clinical reports.
- Collaborated with cross-functional teams to design, develop, and deploy intelligent healthcare application features in an Agile environment.
- Participated in code reviews and sprint retrospectives, ensuring timely delivery of AI-powered features adhering to software engineering best practices.
Projects
AI Chatbot with Image Processing
- Architected and deployed a full-stack AI chatbot supporting multimodal inputs (text + image), serving 100+ test interactions with a 95%+ response accuracy rate on standard benchmarks.
- Integrated MobileNetV2 deep learning model for real-time image recognition, achieving 92% classification accuracy across 10 object categories.
- Designed a RESTful API backend with MySQL database integration managing 500+ chat history records, reducing data retrieval latency by 30%.
- Applied prompt engineering techniques with the Google Gemini API to improve conversational coherence and reduce hallucination in NLP responses.
Crop Recommendation System – ML Web Application
- Developed and trained an XGBoost classification model on 2,200+ agricultural data records, achieving 97% prediction accuracy on the test dataset.
- Executed full ML pipeline — data preprocessing, feature engineering, model training, cross-validation, and hyperparameter tuning — reducing overfitting by 15% versus baseline.
- Built and deployed an interactive Streamlit web application enabling real-time crop recommendations for 22 crop types, receiving positive feedback from 30+ users during demo.
- Documented model evaluation metrics (accuracy, F1-score, confusion matrix) and maintained reproducible experiment tracking using GitHub.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
1st Place – Mini Project Competition
1st Place – Mini Project Competition, CMRIT: Led a team of 3 from concept to deployment, delivering a fully functional AI-powered application judged best among 25+ competing projects.
Nokia Hackathon 2025
Selected among top participants; built a real-time LLM-integrated solution within a 24-hour competitive development sprint.
Smart India Hackathon (SIH) 2023
Represented CMR Institute in national-level competition; collaborated with a 6-member team to prototype a data-driven government solution.
About Details
Professional Bio
Results-driven AI & Data Science engineering student with hands-on experience in machine learning, LLMs, RAG, and full-stack AI development. Demonstrated ability to design and deploy end-to-end AI-powered applications.
Bachelor of Engineering in Artificial Intelligence & Data Science
CMR Institute of Technology, Bengaluru (2022 - 2026)
12th Grade in Science (PCMB)
Presidency PU College, Sira ( - 2022)
10th Grade (SSLC) in N/A
St. Anne's High School, Sira ( - 2020)