// 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
now:AI Engineer @ LegalityIQ
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 an AI Engineer at LegalityIQ, I build RAG-powered legal research tools on AWS Bedrock — from rule-based statute tracking to real-time notification pipelines.

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/
*AI Engineer
LegalityIQ
↪ Remote
  • Led an end-to-end redesign of the application's information architecture and UI, grounding the process in in-depth research with lawyers to map real search-and-retrieval workflows.
  • Architected a custom search system letting users define rule-based criteria for tracking specific laws and statutes, with real-time notifications on the dashboard.
  • Built an elastic pipeline on AWS Bedrock using tool calling to query a RAG-based legal knowledge base, evaluate updates against user-defined criteria, and trigger real-time notifications.
Jun 2026 – Present
*Teaching Assistant
Purdue University Fort Wayne
↪ Fort Wayne, IN, USA
  • Supported undergraduate coursework by grading assignments and assessments, ensuring timely and accurate evaluation of student performance.
  • Researched emerging database technologies and industry best practices, integrating current advancements into course content to keep curriculum aligned with production trends.
Apr 2025 – Present
*Waterfield Sustainability Intern
Environmental Resources Center, Purdue University
↪ Fort Wayne, IN, USA
  • Built PFW Connect, a full-stack student engagement platform (React, Node.js, PostgreSQL) combining a social network, peer-to-peer marketplace, and ride-sharing module to promote item reuse and cut transportation-related emissions.
  • Automated donor engagement workflows with Microsoft Power Automate, integrating Excel and Microsoft Planner to auto-generate outreach reminders, reducing manual administrative effort by 70%.
  • Maintained and enhanced the Environmental Resources Center website on Drupal, publishing content that improved visibility of sustainability programs, events, and campus initiatives.
Jan 2025 – May 2026
*Software Development Engineer - I
Tavant Technologies
↪ Bengaluru, India
  • Engineered reusable validation frameworks for mortgage appraisal forms (1004, 1025, 1073) within Touchless Automation, eliminating recurring manual review errors and standardizing processing across document types.
  • Architected an end-to-end document pipeline that retrieved appraisals from AWS S3, automated extraction and JSON transformation, and mapped data into Java domain models.
  • Raised appraisal document processing success rate to 99% by diagnosing validation bottlenecks, hardening error handling, and refactoring document-analysis workflows.
  • Reduced per-document processing latency to under 1 minute by eliminating redundant rule execution and streamlining the processing pipeline.
  • Deployed and maintained mortgage automation services on AWS EC2, supporting application availability, testing, and production release activities.
Jun 2022 – Dec 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/
  • Developed a full-stack platform that generates personalized mock interviews from user profiles and resumes, simulating real technical and behavioral rounds.
  • Integrated LLM-powered question generation and adaptive follow-up interactions to mirror real-world interview dynamics.
  • Built secure authentication, resume parsing, and automated performance reporting, giving users actionable feedback and readiness insights.
ReactNode.jsPostgreSQLAI
Jan – May 2026
*MastodonGPT
ai/
  • Built a university-wide AI assistant using Retrieval-Augmented Generation (RAG), letting students and staff query campus information conversationally with answers grounded in official content.
  • Developed a content-management portal that ingests webpages and PDFs into an AI-searchable knowledge base, automating parsing, chunking, and embedding workflows.
  • Implemented vector-based semantic retrieval and LLM-powered response generation for accurate, context-aware answers, with real-time updates requiring no model retraining.
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 university-wide AI assistant using Retrieval-Augmented Generation (RAG), letting students and staff query campus information conversationally with answers grounded in official content.
  • Developed a content-management portal that ingests webpages and PDFs into an AI-searchable knowledge base, automating parsing, chunking, and embedding workflows.
  • Implemented vector-based semantic retrieval and LLM-powered response generation for accurate, context-aware answers, with real-time updates requiring no model retraining.
PythonNext.js PostgreSQLLLMs RAGVector DB
AI Mock Interviewer
January 2026 – May 2026
  • Developed a full-stack platform that generates personalized mock interviews from user profiles and resumes, simulating real technical and behavioral rounds.
  • Integrated LLM-powered question generation and adaptive follow-up interactions to mirror real-world interview dynamics.
  • Built secure authentication, resume parsing, and automated performance reporting, giving users actionable feedback and readiness insights.
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