Independent AI & Systems Research Lab
Building Adaptive Algorithms for Smarter Systems.
RDCodivora Labs explores machine learning, database optimization, intelligent automation, and scalable software systems through research-driven engineering.
Flagship Research
Adaptive Query Optimization Algorithm
A machine learning based optimizer that predicts workload state, selects the best execution plan, estimates cost, and improves through feedback-driven retraining.
200K+ Queries Tested
30–40% Lower Latency
Dynamic Plan Selection
Feedback Learning Loop
Research Areas
What RDCodivora studies
Artificial Intelligence
Machine Learning
Database Optimization
Query Processing
Distributed Systems
Software Engineering
Algorithm #001
Adaptive Query Optimization Algorithm
Traditional query optimizers often rely on static rules and fixed cost estimates. This research explores an adaptive optimizer that learns workload patterns, predicts execution context, and selects query plans based on real-time system behavior.
Workload Prediction
Plan Selection
Cost Estimation
Continuous Retraining
Projects
Research-backed systems
30–40% latency reduction
Adaptive Query Optimizer
A learning-based optimization system that predicts workload behavior and dynamically selects efficient execution strategies.
93.3% model accuracy
CodeTheGenome
Machine learning pipeline for genetic variant conflict prediction using ensemble models and explainable AI.
25% engagement increase
SmartSpend AI
AI-powered personal finance platform with spending prediction, risk alerts, and intelligent dashboards.
35% faster alerts
Disaster Early Warning System
Real-time monitoring and alerting system for disaster risk forecasting and emergency response.
500K+
Records Analyzed
200K+
Queries Optimized
93.3%
ML Accuracy
4+
Research Projects
Build. Research. Optimize.
RDCodivora Labs is founded by Prajwal Devaraj, M.S. Computer Science, Kent State University, focused on AI, ML, database systems, and scalable software engineering.
prajwal@rdcodivora.com