Google Business Intelligence Specialization

Digital Transformation with Google Cloud

Analyze Data to Answer Questions

Google Data Analytics Capstone: Complete a Case Study

Advanced Learning Algorithms

ChatGPT for Beginners: Using AI For Market Research

Foundations of Business Intelligence

Google Data Analytics Certificate

Unsupervised Learning, Recommenders, Reinforcement Learning

Machine Learning Specialization

Google Business Intelligence Certificate

Structuring Machine Learning Projects

Neural Networks and Deep Learning

Decisions, Decisions: Dashboards and Reports

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

 Supervised Machine Learning: Regression and Classification

AWS Cloud Practitioner Essentials

Data Analysis with R Programming

Deep Learning Specialization

IBM Data Science Specialization

Pediatric Cancer Ward Volunteer

We began visiting patients admitted to the Cancer Institute pediatric ward, as well as the outpatients who frequent the hospital for medication and checkups.

Organizing and conducting programs and performances for special events, such as holidays, birthdays, Christmas, etc. We also attend events organized by the hospital, including National Cancer Consciousness week activities, "Relay for Life" with other cancer institutes/hospitals in the country, etc.

Outreach Club Vice President

Bachelor of Arts (B.A.)

Bachelor of Arts - BA

𝑨𝒓𝒂𝒚𝒂 𝑨𝒑𝒑 𝒊𝒔 𝒂𝒏 𝑬𝒍𝒆𝒄𝒕𝒓𝒐𝒏𝒊𝒄 𝑯𝒆𝒂𝒍𝒕𝒉 𝑹𝒆𝒄𝒐𝒓𝒅 (𝑬𝑯𝑹) 𝒂𝒑𝒑𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏 𝒇𝒐𝒓 𝒑𝒂𝒕𝒊𝒆𝒏𝒕 𝒓𝒆𝒈𝒊𝒔𝒕𝒓𝒂𝒕𝒊𝒐𝒏 𝒂𝒏𝒅 𝒑𝒂𝒕𝒊𝒆𝒏𝒕 𝒎𝒂𝒏𝒂𝒈𝒆𝒎𝒆𝒏𝒕 [𝑯𝑰𝑷𝑷𝑨 𝑪𝒐𝒎𝒑𝒍𝒊𝒂𝒏𝒕].

★ Architected cloud-based EHR software system (AWS EC2 Infrastructure ).
★ Architected EHR’s Communication System,  Network, Patient Registration System, Hospital Registration & other External Services.
★ Architected, designed & developed the application in accordance with HIPAA compliance requirements.
★ Supervised implementation and deployments of HIPAA regulatory compliance requirements such as: Authentication, Auto Log-off, Adit & Alerts, Encryption, Hosting & Infrastructure & Authorization.
★ Supervised Production Environment Setup which involves various components of the application: AWS Amazon Virtual Private Cloud, ECR, ECS, EC2, and AWS RDS.
★ Managed a team of engineers to make necessary system improvements to satisfy physician and staff needs for i

Senior Software Engineer Technical Lead

★ Developed utility and internal websites for the company. The tools are used to estimate the shipping price, the goal is to estimate the price for FTL, LTL and Domestic shipment to be used for both internal (marketing and sales team) and external use (providing service to users).
★ Bug fixing to ensure smooth delivery and functioning of the applications. 
★ Conducted testing & maintained the code quality. 
★ Collaborated with a team of 15 engineers to define, design and ship new features & correct multiple bugs

Senior Software Engineer

★ Built data pipeline to ingest data to feed utility and internal websites using Python scripts, AWS Kinesis, and Apache Spark, which improved the metrics of the data used by the websites.
★ Designed and deployed a data pipeline for data analysis using Python scripts, AWS Elasticsearch/Kibana, and S3, to extract, transform, and load data from application logs and present the data to a dashboard.
★ Created visualizations using React.js, D3.JS library, and Python to collect metrics of ML models, and descriptive data (e.g. being able to show orders on map, visitors on map, make the map interactive, change the map and rest of the data changes, etc.) to increase user engagement by 10%
★ Developed a set of utility and internal websites for the company, enabling the end users (both internal and external) to get instant price estimates for shipping services, such as FTL, LTL and Domestic shipments.
★ Developed unit and component tests using Jest and Enzyme, resulting in 95% test coverage.
★ Re

Senior Data Engineer

★ Designed and Built requisite services for Dominique, a digital teaching assistant built by Soul Machines for Bill O'Connor's Innovation class at Maryville University.
★ Participated in designing the entire conversation flow in Whimsical. 
★Designed a chatbot system architecture Based on Google Cloud Platform and its services.
★ Built a fully customized chatbot interface to be embedded in the Canvas learning management system with React.js.
★ Built orchestration services to integrate chatbot models with Node.js and Express.js.
★ Built chatbot models that can understand the intent of the user, learn from it, respond intelligently and perform actions if required with an efficient learning mechanism with RASA and Google Dialogflow.
★ Improved intent matching and entity extraction accuracy up to 98%.
★ Built a dialogue management model that predicts what action or response this chatbot should make based on the state of the conversation. Improved prediction accuracy up to 95%.
★ Built a cu

Natural Language Processing Engineer

★ Created near-real time event based ETL pipelines using Google Cloud Functions to fetch data from external API’s for example Phoneburner and LMS Canvas.
★ Enabled CICD using Github and Github Actions.
★ Created ETL pipelines in fivetran to integrate data from multiple sources e.g. SQL Server, Google Sheets and Salesforce.
★ Enabled automatic scaling and handle schema evolutions.
★ Used dbt models, seeds, exposure to transform and document data in BigQuery.
★ Created Data Lineage using DBT.
★ Built dashboards using thoughtspot to provide reports of data marts.
★ Extracted audio calls from phoneburner, converted to text using Cloud Speech to Text and performed sentiment analysis using Cloud Natural Language API.
★ Ingested assessment form data from Nice for analysis in BigQuery in order to enable stakeholders to track rep call performance improvement.
★ Prepared data representation for phoneburner in details and major entities involved.
★ Performed Performance Testing, including data si

Google Data Engineer | Natural Language Processing Engineer

★ Led end-to-end development of AI systems integrating ML, Computer Vision, NLP, Robotics, Chatbots, and Recommendation Engines, achieving significant results such as a 40% reduction in equipment downtime, 94% accuracy in NLP context prediction, and successful collaboration with 70+ Upwork clients.

Senior Machine Learning Engineer

𝑨𝒑𝒑𝒍𝒚 𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 𝒕𝒐 𝒅𝒆𝒕𝒆𝒓𝒎𝒊𝒏𝒆 𝒕𝒉𝒆 𝒄𝒐𝒏𝒕𝒆𝒏𝒕 𝒐𝒇 𝒕𝒉𝒆 𝑨𝑻𝑻&𝑪𝑲 𝒇𝒓𝒂𝒎𝒆𝒘𝒐𝒓𝒌 𝒂𝒏𝒅 𝒕𝒉𝒆 𝒅𝒆𝒔𝒄𝒓𝒊𝒑𝒕𝒊𝒐𝒏 𝒐𝒇 𝒆𝒂𝒄𝒉 𝒅𝒊𝒈𝒊𝒕𝒂𝒍 𝒗𝒂𝒄𝒄𝒊𝒏𝒆 𝒊𝒏 𝒕𝒉𝒆 𝒅𝒂𝒕𝒂𝒔𝒆𝒕.

★ Built UIs (React.js) to visualize aggregation results of the machine learning model that classifies cyberattack techniques based on the MITRE ATT&CK framework. 
★ Utilized Python and Natural Language Processing libraries to developed model that predicted the context of the ATT&CK framework data with 94% accuracy; resulting in reduction of false-positives in vaccine mis-identification by 50%.
★Developed advanced machine learning models to detect threats, with 90% accuracy in predicting malicious activities, and automated the deployment of ML models on production servers.

Machine Learning Engineer

𝑺𝒑𝒆𝒆𝒄𝒉𝒍𝒂𝒃 𝒖𝒔𝒆𝒔 𝑨𝑰 𝒕𝒐 𝒂𝒖𝒕𝒐𝒎𝒂𝒕𝒆 𝒔𝒑𝒆𝒆𝒄𝒉-𝒕𝒐-𝒔𝒑𝒆𝒆𝒄𝒉 𝒕𝒓𝒂𝒏𝒔𝒍𝒂𝒕𝒊𝒐𝒏 𝒇𝒐𝒓 𝒅𝒖𝒃𝒃𝒊𝒏𝒈 𝒐𝒇 𝒑𝒓𝒐𝒇𝒆𝒔𝒔𝒊𝒐𝒏𝒂𝒍𝒍𝒚 𝒑𝒓𝒐𝒅𝒖𝒄𝒆𝒅 𝒂𝒖𝒅𝒊𝒐 𝒂𝒏𝒅 𝒗𝒊𝒅𝒆𝒐. 𝑺𝒑𝒆𝒆𝒄𝒉𝒍𝒂𝒃 𝒊𝒔 𝒃𝒂𝒄𝒌𝒆𝒅 𝒃𝒚 𝑨𝒏𝒅𝒓𝒆𝒘 𝑵𝒈'𝒔 𝑨𝑰 𝒇𝒖𝒏𝒅. 

𝑲𝒆𝒚 𝑺𝒌𝒊𝒍𝒍𝒔: 𝑨𝑾𝑺 𝑪𝒍𝒐𝒖𝒅 𝑨𝒓𝒄𝒉𝒊𝒕𝒆𝒄𝒕𝒖𝒓𝒆, 𝑺𝒑𝒆𝒆𝒄𝒉 𝑹𝒆𝒄𝒐𝒈𝒏𝒊𝒕𝒊𝒐𝒏, 𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑻𝒓𝒂𝒏𝒔𝒍𝒂𝒕𝒊𝒐𝒏, 𝑻𝒆𝒙𝒕-𝒕𝒐-𝑺𝒑𝒆𝒆𝒄𝒉, 𝑴𝑬𝑹𝑵 𝒔𝒕𝒂𝒄𝒌. 

★ Key member in designing system architecture based on Amazon Web Services.
★ Build core components of the API to access large language models.
★ Optimize the API and interfaces for performance, robustness, and ease of use.
★ Implement tools and processes to monitor model behavior and performance using 
Sentry and Loggly. 
★ Implemented thumbnail generation for uploaded video files
★ Built utility backend services with AWS Lambda
    ☆ Built a service that processes Machine Learning Output and calls the backend

Senior Software Architect

𝑲𝒆𝒚 𝑺𝒌𝒊𝒍𝒍𝒔: 𝑴𝑳𝑶𝒑𝒔, 𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 , 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑽𝒊𝒔𝒊𝒐𝒏, 𝑬𝒅𝒈𝒆 𝑪𝒐𝒎𝒑𝒖𝒕𝒊𝒏𝒈, 𝑨𝒖𝒕𝒐 𝑴𝑳 𝑷𝒊𝒑𝒆𝒍𝒊𝒏𝒆, 𝑴𝒐𝒅𝒆𝒍 𝒅𝒆𝒑𝒍𝒐𝒚𝒎𝒆𝒏𝒕 𝒂𝒖𝒕𝒐𝒎𝒂𝒕𝒊𝒐𝒏, 𝑫𝒂𝒕𝒂 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒊𝒏𝒈.

★ Built and deployed AI-powered end-to-end robotic workcells that integrate within existing workflows to help enterprises automate their entire factories, warehouses, or supply chain operations.
★ Designing production computer vision pipelines.
★ Designed, prototyped, trained and delivered machine learning models to revolutionize manufacturing, supply chains, e-commerce, and other industrial applications.
★ Worked on Data ETL (extract, transform and load) tasks which includes extracting image data from compressed formats and transforming data for ingestion into training pipelines.
★ Performed Feature extraction, transformation and standardization.
★ Performed Metadata generation.
★ Performed Data registration. 
★ Collected appropriate data for

★ Spearheaded OCR-related initiatives, resulting in a 15% increase in text accuracy and a 10% reduction in missing text.
    ☆ Improved OCR accuracy by implementing image processing technologies, including scaling images to the right size, increasing the contrast and density, and choosing optimized Page Segmentation Modes (PSMs) for Tesseract.
    ☆ Improved structured table extraction performance by leveraging OCR approaches, including combining OCR with pdfminer extraction, applying PaddleOCR to cropped table images, and implementing TesseractOCR for full-page analysis.
★ Designed and implemented an advanced multi-agent system architecture using Pydantic AI and Model Context Protocol (MCP) to leverage Large Language Models (LLM). 
    ☆ Developed a sophisticated multi-agent system by creating and integrating Pydantic AI graphs with specialized unstructured MCP servers.
    ☆ Implemented custom unstructured MCP servers that successfully interfaced with numerous existing unstructured A

Senior Machine Learning Engineer ( LLMs )

𝐊𝐞𝐲 𝐒𝐤𝐢𝐥𝐥𝐬: 𝑶𝑪𝑹 𝑮𝒐𝒐𝒈𝒍𝒆 𝑴𝑳 𝑲𝒊𝒕 𝑻𝒆𝒙𝒕𝑹𝒆𝒄𝒐𝒈𝒏𝒊𝒕𝒊𝒐𝒏 𝒂𝒏𝒅 𝑻𝒆𝒔𝒔𝒆𝒓𝒂𝒄𝒕4𝑨𝒏𝒅𝒓𝒐𝒊𝒅 𝒂𝒓𝒆 𝒖𝒔𝒆𝒅 𝒇𝒐𝒓 𝒕𝒆𝒙𝒕 𝒓𝒆𝒄𝒐𝒈𝒏𝒊𝒕𝒊𝒐𝒏. 𝑶𝑪𝑹 𝒍𝒊𝒃𝒓𝒂𝒓𝒊𝒆𝒔: 𝑻𝒆𝒔𝒔𝒆𝒓𝒂𝒄𝒕4𝑨𝒏𝒅𝒓𝒐𝒊𝒅 & 𝑻𝒆𝒙𝒕𝑹𝒆𝒄𝒐𝒈𝒏𝒊𝒕𝒊𝒐𝒏, 𝑳𝒂𝒏𝒈𝒖𝒂𝒈𝒆 𝑰𝒅𝒆𝒏𝒕𝒊𝒇𝒊𝒄𝒂𝒕𝒊𝒐𝒏: 𝑮𝒐𝒐𝒈𝒍𝒆 𝑴𝑳 𝑲𝒊𝒕 𝑰𝒅𝒆𝒏𝒕𝒊𝒇𝒊𝒄𝒂𝒕𝒊𝒐𝒏

★ [DOD Prototype] Design and Develop Collection Requirements Management Prototype for Distributed Common Ground/Surface System – Marine Corps (DCGS-MC). 
★ [DOD Prototype] Design and Develop Intelligence Requirements to provide a collaborative environment to create and provide context to intelligence requirements and Commander's Critical Information Requirements.
★ [DOD Prototype] Design and Develop Collections Requirements Management – The system is expected to provide the ability to manage intelligence collection in a semi-automated manner in which the collections manager is able to quickly validate returns from 

Senior Software Engineer Technical Lead ( AI / ML )

★ Developed Metaflow workflows for anomaly filtering and FiftyOne dataset creation, enabling efficient processing of video frames with YOLO-based models and configurable confidence thresholds.
★ Created a bidirectional FiftyOne-Encord integration that facilitates seamless transfer of filtered datasets for annotation and subsequent reintegration of annotation data.
★ Implemented a custom FiftyOne Data Lens plugin (Thoth Frames Retriever) that efficiently handles frame retrieval, video sequence support, and multi-camera integration.
★ Designed factory data loaders for dynamically batched datasets, allowing for optimized processing of sequential video frames while maintaining temporal relationships.

ML Engineer

github

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