https://www.alchemyai.dev/

• Led development of mobile application end-to-end from UX/UI using Figma and software development using Dart and Flutter framework, integrating Firebase for backend services and real-time data synchronization.• Scaled app to 400 active weekly users (2 weeks after launch), implementing Firebase Analytics for user behavior tracking.• Integrating Vertex AI Gemini API via Firebase Cloud Functions (Node.js runtime) for AI-driven notifications, with real-time, bi-directional communication… Show more • Led development of mobile application end-to-end from UX/UI using Figma and software development using Dart and Flutter framework, integrating Firebase for backend services and real-time data synchronization.• Scaled app to 400 active weekly users (2 weeks after launch), implementing Firebase Analytics for user behavior tracking.• Integrating Vertex AI Gemini API via Firebase Cloud Functions (Node.js runtime) for AI-driven notifications, with real-time, bi-directional communication using Firebase's latest client SDKs and Firestore. Show less

• Engineered cost analysis dashboard using AWS cloud infrastructures, processing 50M+ data entries and analyzing $5M+ usage costs for 192 fintech accounts with 99.98% accuracy.• Developed project architecture, CI/CD pipeline, and integration testing using AWS CDK.• Integrated AI business analytics features to the dataset, allowing customers to query data using natural language.• Led internal hackathon project, developing an AI on-call assistant utilizing AWS Bedrock for LLM… Show more • Engineered cost analysis dashboard using AWS cloud infrastructures, processing 50M+ data entries and analyzing $5M+ usage costs for 192 fintech accounts with 99.98% accuracy.• Developed project architecture, CI/CD pipeline, and integration testing using AWS CDK.• Integrated AI business analytics features to the dataset, allowing customers to query data using natural language.• Led internal hackathon project, developing an AI on-call assistant utilizing AWS Bedrock for LLM integration, Lambda for serverless compute, and internal RESTful APIs. Show less

• Developed cell infiltration analysis, leveraging libraries such as NumPy and SciPy for image processing and analysis, working with researchers to create an intuitive front end interface, currently being used at 3 laboratories at UT Austin.• Enhanced ML classification model with scikit-learn, achieving 5% accuracy improvement through hyperparameter tuning (GridSearchCV) and feature engineering. Reduced processing time by 60% using joblib for parallelization.• Created microfiber QA… Show more • Developed cell infiltration analysis, leveraging libraries such as NumPy and SciPy for image processing and analysis, working with researchers to create an intuitive front end interface, currently being used at 3 laboratories at UT Austin.• Enhanced ML classification model with scikit-learn, achieving 5% accuracy improvement through hyperparameter tuning (GridSearchCV) and feature engineering. Reduced processing time by 60% using joblib for parallelization.• Created microfiber QA program using OpenCV and custom algorithms, achieving 1±2% error rates and significantly reducing manual processing time. Show less

• Enhanced SQL database performance by implementing efficient indexing techniques using Microsoft SQL Server's indexing features, resulting in faster data retrieval and optimized query performance by 30%.• Developed and automated ETL (Extract, Transform, Load) processes using SQL Server Integration Services (SSIS) to organize and report loan origination data, coupled with creating interactive dashboards and reports in PowerBI for actionable insights.• Managed a team of 3 interns to… Show more • Enhanced SQL database performance by implementing efficient indexing techniques using Microsoft SQL Server's indexing features, resulting in faster data retrieval and optimized query performance by 30%.• Developed and automated ETL (Extract, Transform, Load) processes using SQL Server Integration Services (SSIS) to organize and report loan origination data, coupled with creating interactive dashboards and reports in PowerBI for actionable insights.• Managed a team of 3 interns to publish the 2023 Annual Report. Show less

• Contributed to data analysis and experimentation until the publication of the study.• Created and implemented an image analysis tool, expediting cell categorization.• Recognized for significant contributions and invited to extend my role past the initial term