University of Illinois Urbana-Champaign
MS in Bioinformatics (CS Concentration)
Computer Science Concentration
2026 — 2028
$ whoami
Ajinkya Naik
Hands-on experience in full-stack development, AI integration, and microservices architecture. Proficient in Python, JavaScript, TypeScript, and cloud deployment with AWS, Docker, and Kubernetes. Passionate about building scalable AI-driven solutions and optimizing system performance
$ cat ./education
Education
Purdue University Fort Wayne
BS in Computer Science
Computer Science
May 2026
$ cat ./skills
Skills
Technologies and tools I use to build full-stack applications, distributed systems, and AI-powered software.
//
Programming Languages
Java
Python
JavaScript
TypeScript
C
//
Frameworks & Libraries
React
Node.js
Express
Next.js
Spring Boot
LangChain
//
Databases
PostgreSQL
MySQL
MongoDB
//
Cloud & DevOps
AWS
Docker
Kubernetes
//
Tools & AI
Git
GitHub
OpenCV
Ollama
n8n
$ echo "always learning..."_
$ git log --work
Work Experience
CS Student Scholar Mentor
Purdue University
- >Mentored 20+ Computer Science students in problem-solving, integrating calculus and discrete math concepts to strengthen analytical skills.
- >Developed personalized study strategies and time management techniques that improved student performance and academic confidence.
Software Engineer & AI Automation Intern
360DMMC
- >Designed and developed AI-driven SaaS applications by integrating automated workflows with n8n, reducing manual processing time by 40% and improving data accuracy across multiple services.
- >Implemented workflow orchestration linking REST APIs, AI models, and Docker-hosted cloud services using JavaScript, improving processing efficiency and reducing manual effort.
Software Developer
Purdue University
- >Designed and implemented a microservice architecture with Node.js, Express, TypeScript, and PostgreSQL, adding an AI-driven summarization feature that improved system throughput by 35% and reduced API response times by 25%.
- >Built interactive dashboards with Next.js and JavaScript enabling real-time monitoring of 50+ key metrics, improving admin oversight and enabling data-driven decision-making.
Undergraduate Research Assistant
Purdue University
- >Conducted research on data visualization effectiveness, analyzing how graph selection impacts interpretation across 200+ datasets focusing on category and discrete relationships.
- >Identified and documented 12+ visualization anti-patterns and developed actionable guidelines to reduce misinterpretation risk for analysts and decision-makers.
- >Presented findings at the Purdue Fort Wayne Research Symposium, demonstrating the impact of visualization design on data comprehension.
Undergraduate Teaching Assistant
Purdue University
- >Assisted in managing administrative tasks and supporting students in the year-long Senior Capstone course.
- >Collaborated in designing a structured syllabus and creating Python-based assignments for the Intro to Data Analytics course.
$ ls ./projects
Projects
Aug 2025 — May 2026
NestWise
Agentic AI Retirement Guide
An AI-driven retirement planning application designed to provide personalized retirement planning insights using agentic workflows and retrieval-augmented generation.
- >Developing an agentic AI system using LangChain, RAG, and large language models.
- >Designing personalized retirement planning workflows that combine user information with retrieved financial knowledge.
- >Developed as an ongoing Senior Capstone project.
LangChainRAGLLMsPythonQdrant
Jan 2025 — Apr 2025
AI Scholar
AI-Based Scholar Chat Feedback Platform
A digital feedback platform designed to replace a low-participation QR-code survey and improve feedback reliability and mentoring visibility.
- >Built the platform using the MERN stack with an Ollama LLM for AI-powered mentor note summarization.
- >Deployed using Docker and Kubernetes on AWS for scalable infrastructure.
- >Improved the accessibility and reliability of student feedback collection.
MongoDBExpressReactNode.jsOllamaDockerKubernetesAWS
Sep 2024 — Dec 2024
Project Prometheus
AI Exam Grader
An AI-powered exam grading system that automates the evaluation of handwritten multiple-choice and fill-in-the-blank exams.
- >Built a custom Convolutional Neural Network and OpenCV pipeline achieving 95% standalone accuracy.
- >Integrated OpenAI as a fallback for ambiguous cases while keeping the CNN as the primary grading system.
PythonCNNOpenCVOpenAIComputer Vision
Jul 2024 — May 2025
Data Visualization Research
Effective Data Visualization Techniques
Research investigating how graph selection impacts data interpretation across different categorical and discrete relationships.
- >Analyzed how visualization choices influence interpretation across Category vs. Discrete and Category vs. Category relationships.
- >Identified risks associated with misleading visualizations and proposed practical selection guidelines.
- >Presented findings at the Purdue Fort Wayne Research Symposium.
Data VisualizationResearchData Analysis
$ ./contact
Let's Connect
Have an opportunity, project, or just want to say hello? Send me a message.
// Available for
Software Engineering
Full-stack · Backend · AI
Collaboration
Projects · Open source · Startups
Research
AI · Bioinformatics · LLMs
$ ./send-message
Fill out the form below.
$ echo "looking forward to hearing from you"_