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AI Engineer with 1+ years in Machine Learning and Full-Stack Development.
Computer Science graduate with expertise in Artificial Intelligence, Machine Learning, Full-Stack Development, and Data Analytics. Proficient in Python, JavaScript, SQL, Django, FastAPI, React.js, Node.js, and modern database technologies including MySQL, PostgreSQL, and MongoDB. Experienced in developing scalable web applications, RESTful APIs, JWT based authentication systems, and end-to-end machine learning solutions. Skilled in data analysis, exploratory data analysis (EDA), statistical analysis, data visualization, and dashboard development using Pandas, NumPy, Power BI, Matplotlib, and Seaborn. Strong problem-solving and analytical abilities demonstrated through real-world projects in fraud detection, predictive modeling, and business intelligence. Passionate about leveraging data and technology to build impactful solutions while collaborating effectively in Agile development environments.
Don Bosco Institute of Technology, Bengaluru
B.E. · Computer Science & Engineering (AI & ML)
August 1, 2021 – June 30, 2025
Okulr Techminds
Full Stack Web Development Intern
April 1, 2025 – August 1, 2025
India
Unified Mentor
Data Science Intern
January 1, 2025 – April 1, 2025
India
Dotch Endeavours Pvt. Ltd.
Full Stack Web Development Intern
August 1, 2024 – December 1, 2024
India
Institutional Internship Program
Python Programming Intern
May 1, 2023 – August 1, 2023
India
Task & Productivity Tracker
August 1, 2023 – June 1, 2026
Architected a full-stack productivity ecosystem using Django, featuring JWT-driven secure role-based access control (RBAC) and data-driven user performance metrics. Optimized relational SQLite queries to monitor multi-user completion rates and integrated an automated Excel reporting engine for seamless data exports.
View ProjectCryptocurrency Price Prediction
August 1, 2023 – June 1, 2026
Developed and optimized predictive ML models (Random Forest, SVM) for cryptocurrency trends, improving predictive accuracy by 12% through hyperparameter tuning and k-fold cross-validation. https://crypto-price-prediction-girishg0wda.streamlit.app/ Evaluated performance metrics (Precision, Recall, F1-Score) and built visual analytics dashboards using Pandas and Matplotlib to map behavioral trends and model confusion matrices. Built a complete ML pipeline including preprocessing, feature engineering, model evaluation, and Streamlit-based deployment using Python, Pandas, Scikit-learn, and GitHub.
View ProjectMoney Laundering Detection System
August 1, 2023 – June 1, 2026
Built and deployed an end-to-end Anti-Money Laundering (AML) detection system using Python, Scikit-Learn, and Streamlit, training a Random Forest model on 6.3M+ financial transactions with engineered behavioral risk features such as balance differences and high-value transaction indicators. Developed a production-style modular ML pipeline and interactive Streamlit dashboard for real-time transaction risk assessment, achieving 97.1% precision, 81.7% recall, 88.7% F1-score, and 99.75% ROC-AUC on a highly imbalanced fraud detection dataset.
View ProjectE-Commerce Sales Analytics Dashboard
August 1, 2023 – June 1, 2026
Processed and analyzed 9,994 retail sales transactions using Python, Pandas, and SQL to identify revenue trends, customer behavior, and product performance. Built a multi-page Power BI dashboard featuring Executive Summary, Sales Analytics, Customer Segmentation, and Forecasting reports. Performed RFM-based customer segmentation to identify high-value customer groups and business opportunities. Developed forecasting, profitability, regional sales, and product performance visualizations to support data-driven decision making.
View ProjectClinic Front Desk Management System
August 1, 2023 – June 1, 2026
Architected an appointment scheduling and queue management system using MongoDB, Express.js, React.js, and Node.js. Implemented JWT-based role-specific admin and staff dashboards; leveraged MongoDB for scalable patient data storage.
View ProjectAgile Project Management
HP LIFE
June 1, 2026 – Present
Python Programming
Infosys Springboard
June 1, 2026 – Present
Python (AI/ML) Internship
Dotch Endeavours Pvt. Ltd.
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a diverse interest in both full-stack development and AI/ML, with a clear focus on practical applications. The personal projects demonstrate initiative and a passion for building solutions. The internships, though short-term, indicate an ability to adapt to different team structures and technologies. The target role of 'AI Engineer' aligns well with their academic specialization and project work, suggesting a strong intrinsic motivation for the field.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and skill development through various internships and certifications. Their project descriptions indicate an ability to work on complex problems and translate data into actionable insights. Experience in Agile/Scrum environments suggests a good fit for collaborative team settings. However, the candidate is still pursuing their bachelor's degree, indicating limited real-world professional experience beyond internships.