Anudeep Nayak

Software Engineer | Data Scientist
Boulder, US.

About

Highly analytical and results-driven professional with a Master's in Data Science and a B.Tech in Computer Science, combining robust software engineering expertise with advanced AI/ML capabilities. Proven ability to lead end-to-end development, optimize system performance, and engineer data-driven solutions that enhance efficiency and user experience. Seeking to leverage a strong foundation in full-stack development, cloud technologies, and machine learning to drive impactful innovations in a dynamic tech environment.

Projects

AniTA network (AI TA)

Summary

Developed an AI Teaching Assistant web application deployed on Google Cloud Platform with Docker for automated grading and assessment data analysis.

Dota 2 Chatbot

Summary

Engineered a game-specific chatbot with OpenAI GPT-4 LLM and a custom RAG pipeline for player query support.

Cinecypher

Summary

Developed a movie recommendation system using NLP techniques such as LSI (Latent Semantic Index) and tf-idf.

Resume Classification

Summary

Developed a resume categorization system using KNN algorithm and scikit-learn with custom Natural Language Processing (NLP).

GRE Vocab Builder

Summary

Built a website with flashcards to expand vocabulary for GRE tests using React.

Work

GE Healthcare
|

Software Engineer

Bangalore, Karnataka, India

Summary

Led end-to-end development of over 20 features, improving product functionality and efficiency, while ensuring system stability and seamless operation for GE Healthcare.

Highlights

Spearheaded end-to-end development of over 20 product features using Java, Vaadin, REST API, and MongoDB, deploying solutions on Azure to enhance functionality and efficiency.

Integrated NYMI APIs, reducing signature authentication time by over 80% through collaboration with customers, streamlining supply chain data entries.

Resolved over 40 critical bugs within a year, reducing system downtime by more than 20% and ensuring seamless operation through collaborative team efforts.

Managed key aspects of deployment, version control, and code reviews, maintaining zero downtime by promptly resolving critical bugs and updating documentation for future deployments.

GE Renewable Energy
|

Software Engineering Intern

Bangalore, Karnataka, India

Summary

Modernized user interfaces and developed data-driven solutions to improve data quality and user engagement for GE Renewable Energy.

Highlights

Designed and deployed a modernized user interface using Angular 11, HTML5, CSS, and TypeScript on AWS, completing over 12 user stories in 6 months.

Engineered a Python-based fuzzy logic model for categorizing inconsistent data, achieving 98% accuracy and significantly reducing data inconsistency.

Improved code quality by increasing SonarQube coverage from 45% to 80% and decreasing code duplication from 10% to 5% through comprehensive cleanup and unit testing.

Developed an NPS ratings page, increasing customer feedback by 10% and providing a key KPI index for product improvement.

Education

University of Colorado Boulder
Boulder, Colorado, United States of America

MS

Data Science

Grade: 3.93 GPA

Manipal Institute of Technology
Manipal, Karnataka, India

B. Tech

Computer Science and Engineering

References