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Work Background
Founder
LEALE.AIFounder
Jul. 2025San Francisco Bay AreaWe are a cutting edge AI solution startup with 2 active patents worked on by the best Lawyer in the country. Our First AI Patent is an AI Framework which gives the orchestration of 3 major components the Brain ( LLM ) the memory ( where data is stored ) and Security . We also have come with focused on the Ethical aspect of the AI which has worried the humans most that’s why we have come with LEALE ( Live Ethical Awareness Learning Engine) . We will keep you posted more on our work . We also have an active patent application for Vector memory implementation using matrices . The crazy part is the Implementation doesn’t use GPU at all . All code is working and is already uploaded to GITHUB servers . I will be posting my results next week.
Chief Executive Officer
LEALE.AIChief Executive Officer
Jul. 2025Milpitas, California, United States• Spearheaded the development and implementation of the LEALE Framework, enhancing operational efficiency. • Architected AI solutions and engineered contextual data systems to drive informed decision-making. • Led a diverse team focused on human-centric technology, fostering innovation and collaboration.
Business Intelligence Analyst
LendistryBusiness Intelligence Analyst
Jan. 2023 - Jul. 2025San Jose, California, United States•Developed a cash flow application to predict next available balance of bank accounts by analyzing inflow and outflow of transactions from plaid using python, this application fastened the decision making on loan application by 25% and facilitated better business outcome. •Leveraged K-means clustering to categorize customers into homogeneous groups and identified patterns and similarities among different customers segments to drive personalized marketing campaigns and targeted customer engagement programs, which improved customer conversion rate by 40%. •Extracted data from redshift and postgresql database to produce 20+ interactive dashboards using tableau and superset to provide meaningful insights and recommendations based on various KPI's performance to support data driven decision-making and strategic planning. •Collaborated with cross functional teams to assess the existing manual reporting procedures and identify pain points and requirements to create automated solutions which reduced data generation time from 15 days to 1 day.
Business Intelligence Engineer
LendistryBusiness Intelligence Engineer
Jan. 2023 - Jul. 2025Santa Clara, California, United States
Data Analyst
Infosys BPMData Analyst
Aug. 2018 - Jan. 2021India• Extracted retail transactions and inventory data from multiple databases of different regions using SQL queries, stored procedures to perform statistical analysis for fraud detection using various KPI’s. • Developed 20+ exception-based reportsfor anomalydetection andshrinkageusing SQL and Excel.Atotal of $156000potentialfraud value wassaved in FY-2019-20 from fraudulent activities and malpracticesthrough reports and business models • Fetching data from source of truth and establishing a secured connection of data pipeline between tableau and data warehouse using SQL for maintaining live data sources and publishing 10+ interactive dashboardsforshowcasing progressin sales and inventory • Developeda fraudpredictionmodelusing Sci-kitlearnlibraries(Logistic regression,Neuralnetwork,Decisiontree,randomforest) with high level of precision (90%), accuracy (90%). Time taken to analyze fraud wasreduced from 5hrs to 2 hrs.
Management Information System Analyst
WiproManagement Information System Analyst
Sep. 2016 - Jun. 2018India• Synthesized business data from various sources to produce reports, dashboards, and presentations, highlighting the findings and recommended changes using SQL Server, Excel and Tableau. • Created 50+interactive filters, parameters & calculations for operational, resource utilization dashboard using tableau. • Conducted research analysis of resource allocation, customer satisfaction and cost optimization of the business process using reports which resulted in improving customer experience by 20% • Built library of models and reusable knowledge base assetsto produce consistent and streamlined business intelligence results.

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