Genetic Algorithm Optimization
Python implementation with Ray for distributed computing
Driving innovation in MLOps and AIOps with 8+ years of experience in AI and ML
Data Sciences in Computer Science and Engineering
Big Data Analytics and Optimization, Data Analytics
Comprehensive introduction to data science with hands-on experience covering Big Data tools (Apache Pig, Spark, Hive), Machine Learning algorithms (SVM, Neural Networks, Decision Trees, Random Forest), AI techniques (CNN, RNN), and programming in R and Python.
Mechanical Engineering
Strong foundation in engineering principles and analytical thinking. Active member of Automotive Engineers society, developing problem-solving and technical skills that later transitioned to data science.
Python implementation with Ray for distributed computing
Comprehensive visualization toolkit for complex datasets
Containerized ML application for music classification
Available for leadership roles, consulting projects, and strategic AI partnerships