Aryan Nair

Experience

• 

  BUILD UMass

  Oct 2022 - now

  • Leading a team of 8 members comprised of product managers and software developers to build Elitecode - a gamified mobile app for technical interview preparation.• Responsible for providing technical mentorship to team members and conducting weekly meetings for code review and technical skill development. • Collaborating with a skilled group of business and software developers to build software solutions for local clients including non-profit organizations, startups, and local businesses. • Working with a volunteer organization called MASSPIRG to revamp their legacy website using contemporary frameworks to ameliorate interactiveness and scalability.• Utilizing the agile methodology, collecting customer feedback, and going above and beyond to surpass customer expectations.

  • Project Lead

    Sept 2023 - now

  • Software Developer

    Oct 2022 - Sept 2023
• 

  University of Massachusetts Amherst

  Oct 2022 - now

  LRC Peer Tutor

  • Utilizing strong foundations in computer science and math to teach and mentor students on a 1:1 appointment or drop-in basis. • Supporting students in data structures, Calc I, Calc II, Statistics, and various Python courses, providing targeted assistance thereby ensuring their academic success.• Provided tutoring services to 100+ students, earning a rating of 4.9/5.0 for my teaching and support.

• 

  Impactsure Technologies Private Limited

  Jun 2023 - Sept 2023

  Data Science Intern

  • Developed a Django microservice that extracts data from tables within scanned financial documents using neural networks and computer vision techniques with Python OpenCV, storing it in a MySQL database.• Fine-tuned Meta’s DETR neural network using a custom dataset of 350 images labeled using VIA, allowing for the detection of unstructured and incomplete tables within bank reports with 80% accuracy.• Utilized morphological transformations for perspective correction to extract text from tables with 90% accuracy.• Enhanced OCR accuracy by 30% by leveraging Spark-NLP’s ContextSpellChecker annotator resulting in more accurate and meaningful results, crucial to the company’s value proposition as a document analytics SaaS firm. Show less

• 

  Manning College of Information and Computer Sciences, UMass Amherst

  Dec 2023 - now

  Mentor and support students with programming assignments, code reviews, and debugging as a course assistant for CS 320 - ”Intro to Software Engineering”. • Assisting in cutting-edge research on the Wearable Learning Cloud Platform, aimed at enhancing computational thinking and mathematics skills in K-12 students through game-based learning and embodied cognition under Ph.D. mentor Allison Poh.• Researched ways to enhance the WearableLearning teacher dashboard by integrating actionable feedback with LLMs. • Maximized context-aware reasoning with prompt engineering strategies - zero/few shot, CoT, RAG, and ReWOO.

  • Undergraduate Course Assistant

    Sept 2023 - now

  • Undergraduate Research Volunteer

    Dec 2023 - Mar 2024