A selection of end-to-end full-stack software systems, high-performance database architectures, and machine learning pipelines engineered between 2025 and 2026.
Lead Developer & Machine Learning Engineer
- Python
- CNN
- KNN
- Random Forest
- React.js
- Flask
- REST APIs
93.8% ACCURACY
-30% LATENCY
- Architected a full-stack smart farming platform integrating 3 predictive ML models for plant disease detection, dynamic crop pricing, and automated water usage forecasting.
- Implemented an image-processing pipeline using Region of Interest (ROI) extraction, achieving 93.8% disease classification accuracy across botanical leaf datasets.
- Engineered automated data pipelines and interactive web dashboards, cutting data processing latency across API endpoints by 30%.
Full-Stack Developer • Infosys Springboard
- Java
- Spring Boot
- MySQL (3NF)
- Stored Procedures
- Unit Testing
- RESTful APIs
-45% QUERY TIME
15+ DEFECTS RESOLVED
- Developed a modular tournament management system handling player registration, live match statistics, and automated performance scoring calculations.
- Designed an optimized 3NF relational schema with custom stored procedures and indexes, reducing database report generation query times by 45%.
- Conducted complete testing lifecycle (Unit, Functional, Regression, Smoke testing), systematically identifying and resolving 15+ functional defects before deployment.
Backend & Database Developer
- Java
- SQL (ACID)
- JDBC
- Java Swing UI
- CSV Telemetry
- Triggers
0 CONCURRENCY ERRORS
REAL-TIME CSV EXPORT
- Built a desktop inventory management application supporting automated stock tracking, CRUD operations, billing workflows, and automated reorder alerts.
- Implemented parameterized SQL transactions and database triggers to eliminate concurrency anomalies and prevent stock discrepancies during high-throughput checkouts.
- Created automated CSV export and analytics routines, delivering real-time inventory turnover rates and daily sales revenue summaries.
