I am an Independent Researcher in AI, Machine Learning, and Generative AI, with expertise in multi-agent systems, time-series forecasting, and explainable AI (LIME/SHAP). My work has contributed to healthcare forecasting for 30M+ patients, enterprise AI cost savings of $2M–$4.6M annually, and large-scale contract automation.
0 Project completed
Formulated contract document classification model with interpretability via LIME/SHAP, conducted class-level evaluation and proposed roadmap with BERT-based improvements, human review, and production deployment planning.
Developed a Time Series model to forecast the number of positive HIV & AIDS cases in African countries at Local Municipality level using exogenous factors to bene t 30+ millions patients
Implemented a prediction model to find the probability that user will click on email advertisement based on the features of the user and establish metrics to drive the product campaigns.
Staged web scrapping to extract 5+ million raw data, cleaned and preprocessed to convert into 300+ features for exploratory data analysis to provide descriptive statistics and built machine learning models.
Manufactured a descriptive statistics and predictive model to anticipate the buy probability of a Automobile client, who is in the middle of statement and strategy buy arrange and distinguished the factors that affected client transformation rate essentially.
Developed an End-to-End Time Series system to forecast User related KPI metrics for Wallet payment, strategy and planning purpose in di erent markets, which helped to suggest actionable insights for improving the product usage and revenue.
Grasped data extraction and cleaning techniques, statistical and predictive modeling, machine learning, big data tools, data variation and validation, linear and quadratic analysis, NLP and data visualization techniques.
Building a AI/ML model to predict which server needs to be patched for 5G upgradation, benefits up to $1.7 million. Extracted more than 20 millions records to build predictive model and analyzed reasons of failure.
Performed Segmentation on 2+ Million customers with K-means clustering to target customers in the United States and redefined marketing strategies, which increased conversion rate by 9%.
I graduated with a undergraduate degree in Electronics & Telecommunication Engineering. Found out about front line communication innovations and designing strategies.
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Preprint, 2025.
440 Coit Rd, Plano TX 75075 USA