// available for opportunities

Dheeraj Kandikattu

Fort Wayne, IN · Purdue University · MS CS (GPA 4.0)

› View My Work ↗ View Resume
// whoami

About Me

role:SWE · AI & Full-Stack
edu:MS CS, Purdue
prev:SDE-I @ Tavant
pub:IEEE Access
loc:Fort Wayne, IN

Hey, I'm Dheeraj.

I'm an AI-focused software engineer who builds full-stack applications powered by LLMs and machine learning. I'm currently pursuing my Master of Science in Computer Science at Purdue University (4.0 GPA), with nearly three years of professional engineering experience behind me.

At Tavant Technologies, I shipped production full-stack features in Java, Angular, and PostgreSQL, including AI-driven document and image analysis built into a mortgage automation platform. Today, as a Sustainability Software Intern at Purdue's Environmental Resources Center, I build real-time energy dashboards and AI-driven automation that turn raw data into action.

I've also published research in IEEE Access on deep-learning-based medical image fusion. What ties it all together: I like building AI systems that solve real problems, not demos.

0
years shipping software
0
GPA @ Purdue
0
AI/Full-Stack Projects Shipped
// tech.stack

My Skills

Languages

JavaPythonC/C++ SQLJavaScriptTypeScript HTML/CSSR

Frontend & Backend

Spring BootAngularReact Node.jsNext.jsRESTful APIs JUnit

AI & ML

LLMsRAGPrompt Engineering NLPDeep LearningVGG-19 OCRComputer Vision

Cloud & DevOps

AWS EC2AWS S3AWS Lambda DockerGitCI/CD

Databases

PostgreSQLMySQL MongoDBVector DB

Concepts

Distributed SystemsOOP Data StructuresAlgorithms Agile / ScrumSDLCDebugging
// career.log

Work & Education

~/career · 3 years
─ experience/
*Waterfield Sustainability Intern
Environmental Resources Center, Purdue University
↪ Fort Wayne, IN, USA
  • Leading development of a real-time energy and sustainability dashboard, integrating campus utility data to improve energy transparency and student engagement.
  • Collaborating on a Smart Solar Panel System with sensor-based tracking and actuator-driven panel positioning to maximize power output.
  • Conducting feasibility analysis and architectural design for an AI-supported control system using irradiance and weather datasets.
Jan 2025 – Present
*Software Development Engineer - I
Tavant Technologies
↪ Bengaluru, India
  • Built a full-stack web application using Java, Angular, and PostgreSQL, ensuring smooth functionality and scalability.
  • Integrated an AI-powered Image Analysis module achieving 98% accuracy through advanced prompt engineering techniques.
  • Optimized backend rule-engine logic for nested conditional execution, reducing runtime errors in large-scale workflows.
  • Refactored legacy modules using OOP principles, improving code reusability and debugging efficiency.
  • Collaborated in Agile cycles with JUnit unit testing and CI/CD deployment via Git and Docker.
Jul 2022 – Nov 2024
─ education/
*Master of Science in Computer Science
Purdue University
↪ Fort Wayne, IN, USA · GPA: 4.0
  • Coursework: Data Structures, Algorithms, Distributed Systems, Software Engineering, Machine Learning, NLP.
Jan 2025 – Dec 2026
*B.Tech in Electronics and Communications Engineering
Vellore Institute of Technology
↪ Chennai, India · GPA: 9.29
  • Coursework: Operating Systems, Computer Networks, Web Development, DBMS.
Jun 2018 – May 2022
─ projects/
*AI Mock Interviewer
ai/
  • AI mock interview platform where students can take unlimited mock interviews with AI-driven question generation and real-time feedback.
  • Built detailed performance reports and deep analysis on past interviews to help users track improvement over time.
  • Developed real interview scheduling and tracking so users can manage upcoming interviews in one place.
ReactNode.jsPostgreSQLAI
Jan – May 2026
*MastodonGPT
ai/
  • Two-portal system with an admin dashboard to upload webpage links and PDFs, and a user-facing AI chatbot delivering context-aware answers.
  • Implemented a RAG pipeline with vector database for semantic search over ingested documents.
PythonNext.jsPostgreSQLLLMsRAGVector DB
Jan – Apr 2025
*AI Powered Career Management System
ai/
  • Career management platform with resume ingestion and an admin portal featuring natural language search — no SQL knowledge needed.
  • LLM-driven SQL generation pipeline transforms plain-English queries into optimized SQL executed dynamically against the candidate database.
PythonNext.jsPostgreSQLLLMsNLP
Jan – Apr 2025
// ls -la ~/projects

Featured Projects

MastodonGPT
January 2025 – April 2025
  • Built a two-portal system with an admin dashboard to upload webpage links and PDF documents, and a user-facing AI chatbot portal.
  • Implemented a Retrieval-Augmented Generation (RAG) pipeline with a vector database for semantic search.
  • Engineered document parsing and embedding workflows converting unstructured content into vector representations.
  • Developed an intelligent chatbot interface delivering context-aware answers from the knowledge base.
PythonNext.js PostgreSQLLLMs RAGVector DB
AI Mock Interviewer
January 2026 – May 2026
  • Built a full-stack AI mock interview platform where students can take unlimited mock interviews powered by AI-driven question generation.
  • Implemented detailed performance reports and deep analysis on past interviews to help users track improvement over time.
  • Developed a real interview scheduling and tracking system so users can manage upcoming interviews in one place.
ReactNode.js PostgreSQLAI
↗ View Project
AI Powered Career Management System
January 2025 – April 2025
  • Developed an AI-powered career management platform with candidate resume ingestion and an admin portal for streamlined talent management.
  • Integrated natural language search enabling admins to query candidate data in plain English — no SQL knowledge needed.
  • Implemented an LLM-driven SQL generation pipeline transforming admin queries into optimized SQL commands executed dynamically.
  • Combined AI, databases, and intuitive UI for accurate, real-time candidate search and filtering.
PythonNext.js PostgreSQLLLMs NLP
// research.papers

Publications

Texture Aware Deep Feature Map Based Linear Weighted Medical Image Fusion
📄 Published in IEEE Access · Aug 10, 2022 · Jan 2022 – Mar 2022
// get_in_touch()

Get in Touch

I'm open to full-time roles, internships, and interesting collaborations. Feel free to reach out!

kandikattu.dheeraj@gmail.com · +1 260-206-4757

↗ View Resume ✉ Email Me LinkedIn GitHub