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Click here or scroll down to respond to this candidate Candidate's Name
github.com/bdadeveloper1 | LINKEDIN LINK AVAILABLE | EMAIL AVAILABLE | PHONE NUMBER AVAILABLE | US Citizen
Experience
Virginia Tech University October 2022- Present
Application Developer
Led the architecture and frontend development of the "HR Recommender App," a dynamic chatbot-based application that enhances
course search experiences for faculty. Utilized advanced NLP technologies including AWS Lex, Spacy, and BERT to capture user
intent and interactions. Engineered the recommendation algorithm using AWS Lambda and AWS Personalize, developed the
frontend with React/JS, fortified by TypeScript linting, and secured the application with CAS Authentication and an Nginx traffic
management solution, ensuring robust security and reliable performance.
Transitioned the university s legacy system from Perl to Python, improving PDF uploads to Canvas and faculty workflow for every
semester.
Designed and implemented an internal microservice that integrates Asana and GitLab via REST APIs within the AWS ecosystem,
using Nginx. This automation of issue synchronization and task management significantly enhanced project tracking and team
communication.
Conceptualized and executed an end-to-end analytics pipeline for a university dashboards, employing PostgreSQL and Python
Django models. Developed interactive visualizations using HighCharts and Vue.js, highlighting surges and correlations in platform
usage including Zoom, Canvas, and Kaltura by the university.
Collaborated with the original Ph.D. author to implement a novel "depth-of-use" metric for learning management system analysis.
Enhanced and extended the author s codebase to develop a sophisticated UI dashboard, providing substantial insights into STEM
educational effectiveness within Canvas.
Cargas Systems Inc. February 2021-April 2022
Software Engineer, Data Conversion
Delivered custom software solutions for 7+ Cargas clients using Angular, SQL, and JavaScript, handling frontend tasks with
minimal UX/UI guidance and ensuring high client satisfaction.
Increased efficiency to one of Cargas s largest commercial customers by 32% by redesigning data storage system using scalable
ETL processes including MySQL and Azure Data Factory.
Engineered custom integrations using RESTful APIs and webhooks to facilitate data exchange between CRM platforms like
Microsoft Dynamics 365 and HubSpot, which resulted in reduced manual data entry and improved data accuracy.
World Data Science Institute August 2020 January 2021
Financial Data Engineer
Co-developed and secured "CryptoShare," a proprietary Solana-based product with over 150 registered users, by implementing
on-chain smart contracts and a server management system using Rust, Node.js, and CouchDB. Collaborated directly with the
founder on strategic marketing campaigns and played a pivotal role in identifying and resolving a critical vulnerability in smart
contracts, ensuring robust security and integrity of user assets
Developed financial data science applications for academic publications and presentations, leveraging web3 technologies such as
blockchain and decentralized finance. These applications included blockchain gaming, stock prediction, time series forecasting, and
insurance quote analyzers.
Professional & Passion Projects
Nimah & Khari: Passion project turned into an ethically-responsible AI-powered luxury beauty brand for pigmented skin,
leveraging a 3,000-image dataset and CNN neural networks for personalized recommendations. Successfully deployed on AWS
and pitched to investors at MIT MITEF and the Tulsa Initiative Incubator.
Disko: Engineered a real-time music web application using React Native, Google Firebase, and Python, integrating the Spotify
API for a seamless cross-platform user experience. Designed for social gatherings, the app supported up to 75 real-time users
at launch, with CI/CD managed through Heroku.
Carolena Health Developed and served as Technical Consultant for a nutrigenomics-driven nutrition platform, creating tailor-
made diet plans based on genetic data. Led technical design, UML diagrams, and software setup, integrating REST APIs and
collaborating with a multidisciplinary team to innovate personalized dietary solutions.
SongGPT: Spotify+Langchain: Initiated a self-driven project to create a custom GPT-like language model from scratch using
attention-transformer architecture, integrating Spotify API with LangChain and my own LLM and GPT-4. Continuously
enhancing the system, focusing on sophisticated JSON data processing to innovatively generate song lyrics that resonate with
users moods and vibes.
Advanced Spatio-Temporal Traffic Analysis: Implemented ST2Vec, a deep learning-based spatio-temporal trajectory similarity
learning model for road networks using Python s OSMnx library and the Microsoft Geospatial Life Dataset, achieving an
approximate 43% reduction in validation loss compared to state-of-the-art methods, enabling efficient and accurate trajectory
analysis in real-world applications.
Education
North Carolina A & T State University
Computational Data Science and Engineering, M.S August 2023
University of North Carolina at Chapel Hill
Applied Mathematics, B.S. May 2020
University of California at San Diego Extension School
Machine Learning Methods Certification April 2020
Skills Summary
Programming Languages: Python, R, Java, C++ (for Electronic Devices), Solidity, JavaScript (React), TypeScript,
MATLAB, SQL
Frameworks and Libraries: PyTorch, Scikit-learn, FastAPI, Keras, Django, Flask, Node.js, Pandas, Spring Boot, Docker,
Unity
Version Control and DevOps Tools: GitLab, AWS CodePipeline, Jenkins, GraphQL, Firebase, ONNX Runtime, MLflow,
AI / Machine Learning: spaCy, NLTK, TextBlob, Ivy, OpenAI GPT, BERT, OpenCV, YOLO, DICOM (for medical
imaging)
Data Management and Analysis: Tableau, Excel, PowerBI PostgreSQL, MySQL, SQLite, Hadoop, PySpark, AWS Red-
shift, Apache Hudi, Datadog, Cassandra, MongoDB, Snowflake, Apache Airflow
Management and Communication: Asana, Confluence, Jira, Public Speaking, Effective Communication (with technical
and non-technical teams), Time Management, Remote Hybrid Work
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