Headline

Software Engineer | Python Developer | AI & Machine Learning | SQL | FastAPI | Scikit-learn | Apache Spark | React | Open to Work | MCA (AI, ML & Data Science)

About

I'm a passionate Software Engineer and MCA graduate specializing in Artificial Intelligence, Machine Learning, and Data Science. I enjoy building scalable software, developing intelligent applications, and solving real-world problems using technology. During my internship, I gained hands-on experience in Python development, Machine Learning, FastAPI, SQL, REST APIs, and software testing while contributing to practical AI-driven solutions. I have also developed academic and personal projects involving machine learning, data analysis, and full-stack web development, strengthening both my technical and problem-solving skills. Technical Skills: • Python • SQL • FastAPI • Machine Learning • Scikit-learn • Pandas • NumPy • PostgreSQL • Apache Spark • React.js • Node.js • HTML • CSS • JavaScript • Git • GitHub I'm continuously learning, building projects, and improving my skills in software engineering and AI. I value writing clean, efficient code, collaborating with teams, and adapting quickly to new technologies. I'm actively seeking full-time opportunities as a Software Engineer, Python Developer, AI/ML Engineer, or Data Analyst, where I can contribute, grow, and create meaningful impact. 📧 Email: jayadevask1@gmail.com 💻 GitHub: https://github.com/JayadevaSK

Location

Greater Bengaluru Area

AI stack

openai

Work experience

ML Engineer Intern at testneo, Feb 2026 - May 2026 · 4 mos, Bengaluru, Building and deploying ML systems for intelligent test failure analysis at Testneo.ai's AI testing platform. Key contributions: • Designed and deployed an ML classification system that automatically identifies root causes of test failures across 10 categories (timeout, auth errors, server errors, flaky selectors, etc.) — reducing manual triage time for QA teams. • Built complete training pipelines with TF-IDF and sentence-embedding feature extractors, trained Logistic Regression and XGBoost models with 5-fold cross-validation (87% validation accuracy). • Developed production REST APIs using FastAPI — single prediction, batch prediction (up to 1000 records), /metrics, and /health endpoints. • Implemented automated model versioning, evaluation metrics export, and a browser extension for direct platform integration. • Deployed the system to Render with a full test suite (unit, property-based with Hypothesis, integration) targeting 85%+ code coverage. • Performed data preprocessing and EDA on real-world datasets using Python, Pandas, and NumPy. Stack: Python · Scikit-learn · XGBoost · FastAPI · TF-IDF · PostgreSQL · Pytest · Hypothesis · Render

Intern at Ekathva Innovations Private Limited, Jun 2024 - Jul 2024 · 1 mo, Shivamogga, Developed a full-stack Hospital Management System during a 4-week intensive internship. • Built the complete frontend (HTML5, CSS3) and backend (PHP, MySQL) with database integration for managing patient records and staff schedules. • Implemented secure role-based access control and optimized MySQL queries for reliable data retrieval. • Collaborated in an Agile team, used Git for version control, and contributed to sprint planning and weekly delivery cycles. Stack: HTML · CSS · PHP · MySQL · Git · Agile

Education

Master of Computer Applications - MCA, AI ML Data science, Swami Vivekananda Yoga Anusandhana Samsthana

Bachelors of Computer Applications, Computer Science, S.R.N.M. National College of Applied Sciences, Shivamogga