Machine learning Graduate Engineer @ U of M Division of Research
Engineered collaboratively with various Departments at the University of Maryland, Built a robust and automated langchain pipeline to process research data via an ensemble of Amazon Nova Premier and Nova Lite models to ensure federal compliance of research proposals.
Stack: Streamlit, Python, MySQL, Langchain, AWS Bedrock, Hugging Face, AWS
Ex - Gradute Software Engineering Lead @ U of M Extension
Spearheaded the development of a dynamic Grain budgeting and data assessment tool, leveraging a comprehensive database to provide farmers with real-time insights into their crop budgets and financial planning.
Stack: NextJS, Radix UI, AWS Amplify, DynamoDB, AWS
Ex - Software Engineer @ Zoominfo
Worked on the 
and 
platforms,
to leverage zoominfo's best in class contact and buying signal data to provide customers with an end-to-end pipeline that can, source and hire a candidate or convert buyer research into actionable sales prospects!
Stack: AngularJS, NestJS, Groovy on Grails, Apache Solr, Jenkins, Google Cloud
Ex - Technical Lead @ Ezcaza
Bringing real estate to the 21st century,
our vision is to change how real estate tranasctions are managed by title companies and real estate vendors.
Stack: NextJS, Express.js, MySQL, Github Actions, Vercel
Derivatives Based Quantitative Trading Strategy
Designed and backtested a proprietary, low-latency computational strategy for a weighted confidence model in C++ that synthesizes signals to generate high-conviction trading decisions using historical data from the Alpaca API.
The model achieved a backtested cumulative 2024 yearly return of 54.8% on $25K initial capital.
he model is deployed on a event-driven trading infrastructure on AWS, leveraging EventBridge to schedule Lambda functions that manage the lifecycle of a C++-optimized EC2 trading instance, minimizing operational costs.
stack: C++, Alpaca SDK, TA-lib, AWS
Custom LLM Chatbot
We use Hugging Face Inference Endpoints to deploy and scale a open source and custom LLM model to run inference through a openAI GPT based User interface.
Using open Web APIs, Voice input is also enabled based on the Web Speech API!
stack: NextJS, Langchain, Vercel AI SDK, Prompt Engineering