Experience

Software Engineering Intern, Quantime, Jun 2019 – Present

• Managed ML task duration prediction project making user task entry faster by using neural networks and nltk
• Designed and implemented program in Python to decrease np-hard task scheduling time by using greedy algorithm
• Used Python requests and Postman to create an interface to an intelligent scheduling feature by building a RESTful API
• Used Github and Slack to collaborate on software development and participate in code review and deliver code consistently
• Analyze data, create new applications, communicate data-driven insights to CEO, Collaborate with developers via Github

Electrical Engineering Intern, EnterSolar, Jan 2019 – May 2019

• Proposed and created a Python program for automation of data acquisition, creating 50hours time+$250/year API savings
• Used Helioscope to increase project output by an avg of 3/day by helping design commercial-scale solar PV layouts
• Quickly learned to collaborate in Salesforce and Slack with BD, PM, and other teams, cut project execution time by 20%

Software Development Fellow, CUNY Tech Prep, Jun 2019 – Present

• Selected as 1st ever Electrical Engineering student and 1 of 120 from 400 CS-student applicants for full-stack JavaScript web development program by self-teaching programming concepts and building a software resume over the course of 1 year
• Won project proposal vote and led team of programmers in the test-driven development of a mobile parking locator application using React Native, Express, PostgreSQL, HTML, CSS, JavaScript, and version control in Git/GitHub
• Pitched project to Tech recruiters, stakeholders, and colleagues during final showcase event at the NYC HBO office space.

Undergraduate Researcher, CCNY, Jan 2019 – Present

• Led interprofessional team of engineers to an increase in collaborative productivity by advocating for working according to AGILE principles and practices during group sessions in person, as well as via Mural and Skype
• Unlocked access to derive meaning from unstructured data constituting 90% of available document corpus by building an NLP conversational solution using Watson Assistant, Watson Discovery Service, and Watson Knowledge Studio
• Increased entity classification accuracy of conversational solution 10-fold by designing and implementing a niche domain ontology (dictionary implementations) and type system, and training it on a manually accumulated document corpus
• Guided class in integrating Telegram with Nodered by creating a video tutorialand posting it on Youtube
• Implemented Genetic Algorithm in a group of 4 autonomous agents to chase and capture an enemy agent, built the algorithm into a web application using Python and Dash, and deployed the web app to Heroku
• Applied Topology Control in MANETs using PSO, implemented solutions to the Santa Fe Trail problem using Grammatical Evolution, and applied a Genetic Algorithm to find the optimal mix of 4 cancer drugs that would minimize the growth of a cancerous tumor.
• Applied Genetic Algorithms to find solutions to routing problems (TSP), scheduling problems (job shop problem), resource matching, pathfinding (robot in a maze), and stock portfolio optimization.