Anudeep Nayak - Software Engineer | Data Scientist - Software Engineer

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.

Work Experience

Software Engineer

GE Healthcare

Jul 2022 - Aug 2023

Bangalore, Karnataka, IN

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

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.

Software Engineering Intern

GE Renewable Energy

Jan 2022 - Jun 2022

Bangalore, Karnataka, IN

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

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

Data Science

University of Colorado Boulder

3.93 GPA

Aug 2023 - May 2025

Boulder, Colorado, US

Computer Science and Engineering

Manipal Institute of Technology

Aug 2018 - Jun 2022

Manipal, Karnataka, IN

Certificates

Enterprise Design Thinking – Practitioner

IBM

Jan 2023

Team Essentials for AI

IBM

Jan 2023

R Programming and Tidyverse Specialization

University of Colorado Boulder

Jan 2023

Projects

AniTA network (AI TA)

Jan 2024 - May 2024

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

Dota 2 Chatbot

Jan 2024 - May 2024

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

Cinecypher

Jan 2024 - May 2024

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

Resume Classification

Mar 2022 - Jun 2022

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

GRE Vocab Builder

Jan 2021 - Jun 2021

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

Languages

English

Skills

Data Science and AI

Scikit-learn
PyTorch
TensorFlow
LLMs
NLP
RAG
Pandas
NumPy
Python
Kubernetes

Software Development

Java
C/C++
JavaScript
TypeScript
REST APIs
Spring Boot
Angular
React

Database & Data Systems

SQL
NoSQL
AQL
ArangoDB
Big Data Architecture
Network Analysis
Cassandra

Cloud & DevOps

Containerization
Microservices
Git
CI/CD

Project Management & Tools

Agile
Scrum
Confluence
GitHub
Asana