// available for opportunities

Dheeraj Kandikattu

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

› View My Work
// 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.

An AI-focused Software Engineer with 3 years of experience building scalable full-stack applications and integrating LLM-powered automation. Currently pursuing my Master of Science in Computer Science at Purdue University (GPA 4.0).

Before Purdue, I worked as a Software Development Engineer at Tavant Technologies, where I shipped full-stack features using Java, Angular, and PostgreSQL — including an AI-powered Image Analysis module hitting 98% accuracy. I'm currently a Waterfield Sustainability Intern at Purdue's Environmental Resources Center, building real-time energy dashboards and smart solar systems.

I also have a research publication in IEEE Access on deep-learning-based medical image fusion. I'm passionate about building AI systems that solve real problems.

0
years shipping software
0
GPA @ Purdue
0
AI module accuracy
// 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

✉ Email Me LinkedIn GitHub