Applied atmospheric correction algorithms to improve satellite-derived water quality data for CDOM assessment in lakes.

Developed and optimized machine learning models (Random Forest, Neural Networks) using Google Earth Engine API, predicting CDOM with 85% accuracy from 40+ years of remote sensing data.

Analyzed satellite water temperature trends across 1,000+ lakes for climate impact studies.

Employed feature engineering, hyperparameter tuning, and cross-validation to enhance model performance and avoid overfitting

Developed and deployed over 5 AI agents for content summarization, product documentation analysis, and survey analytics, enhancing data-driven decision-making and reducing manual processing time by 40%.

Managed the product lifecycle for 3+ projects using Azure DevOps and Trello, incorporating Agile methodologies to streamline workflows.

Built a Python script using Mermaid.js and Gemini to generate visual workflows from documentation.

Developed a React and TypeScript web app with camera integration for image capture and upload.

Trained and fine-tuned question-answering AI models using an extensive dataset with 600+ financial queries.

Conducted supervised (FinanceBench), unsupervised (EDGAR 10-Ks), and RLHF (RAG Instruct) fine-tuning methods.

Implemented various RAG techniques (Metadata Filtering, Reranking, HyDE, FLARE, Recursive Chunking) to improve response accuracy.

Compared model performance against GPT-4, Claude, Llama3, and Mistral using custom evaluation metrics and dashboards.

Delivered comprehensive technical support by diagnosing and resolving complex hardware, software, and network issues, minimizing downtime and ensuring business continuity for end-users.

Led the setup of IT infrastructure across 7+ locations, deploying and configuring over 300 laptops.

Collaborated with cross-functional teams and IT specialists to integrate and deploy technology solutions seamlessly, actively contributing to system improvements, and participating in strategic meetings to align on project goals and IT priorities.

Assisted in developing and maintaining detailed IT documentation, including network infrastructure diagrams, user manuals, and troubleshooting protocols, to streamline future support operations.

Collaborated with the KPMG Advisory team on analyzing 40,000+ NYC asthma cases, uncovering correlations and proposing partnerships with 3 external organizations.

Evaluated statistical and predictive models (OLS Linear Regression, Random Forest), achieving 87% accuracy in forecasting the impact of increased health insurance access on asthma prevalence in 25 Bronx neighborhoods.