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Rahul Ajit

Rahul Ajith Kumar is a B.Tech student in Computer Science and Engineering at IIIT Delhi, with experience as a Teaching Assistant and a Software Development Intern at Cornell Tech. He has published work on augmented reality navigation and developed various projects including an automated reviewer matching platform and a music suggestion application using machine learning. His skills include programming languages like Python and Java, as well as technologies such as Unity and PyTorch.

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Sanchit Sharma
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0% found this document useful (0 votes)
49 views1 page

Rahul Ajit

Rahul Ajith Kumar is a B.Tech student in Computer Science and Engineering at IIIT Delhi, with experience as a Teaching Assistant and a Software Development Intern at Cornell Tech. He has published work on augmented reality navigation and developed various projects including an automated reviewer matching platform and a music suggestion application using machine learning. His skills include programming languages like Python and Java, as well as technologies such as Unity and PyTorch.

Uploaded by

Sanchit Sharma
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Rahul Ajith Kumar

+91-920-562-0886 | rahul21083@iiitd.ac.in | rahul2042 | ‡ okayrahul | New Delhi, IN


Education
Indraprastha Institute of Information Technology Delhi | New Delhi, IN 2021 – 2025
Bachelors of Technology in Computer Science and Engineering (Minors in Design)
Indian High School | Dubai, UAE 2020 – 2021
Class XII (Central Board of Secondary Education)
Experience
Teaching Assistant - User Experience Design of XR New Delhi, IN
IIIT Delhi Aug 2024 – Dec 2024
• Conducted bi-weekly workshops for 30+ students, significantly enhancing their technical proficiency and XR

development skills.
• Evaluated student projects and examinations, providing detailed feedback and tailored guidance, thereby directly

contributing to their readiness for industry roles.


• Improved student satisfaction ratings by 25% (validated through semester-end feedback surveys).

Software Development Intern Remote


Cornell Tech, New York City May 2023 – August 2023
• Redesigned and optimized backend components of the Represent Bihar website, decreasing API response times by

30% and user engagement through high-fidelity UI prototypes.


• Spearheaded the design and prototyping process for Represent India, an expanded initiative of Represent Bihar,

prioritizing intuitive user experience and increasing user interaction.


• Developed a collaborative map-based visualization tool in partnership with Living Lightly Organization, focusing

on enhancing accessibility and user experience through effective UI/UX principles.

Publications
NavigAR: Enhancing Localized Space Navigation Using Augmented Reality, DOI, May 2024. Built
an interactive AR navigation system leveraging Unity, Blender, and Spline for improved spatial orientation and
campus wayfinding.
Projects
FindReviewer – Automated Reviewer Matching Platform | Project Report
◦ Built a semantic reviewer matching platform leveraging PostgreSQL, FastAPI, and React to automate

reviewer-paper assignments based on actual publication history from the DBLP dataset.
◦ Integrated a large language model (LLM) for structured metadata extraction from uploaded research papers

(PDF/DOI) enabling precise, targeted reviewer searches.


◦ Implemented advanced search functionality using semantic embeddings and JSON-based queries, ensuring

efficient, scalable, and accurate reviewer matching.


Storify - Music Suggestion Application | GitHub ‡
◦ Developed a web application that uses image recognition and a custom-trained ML model to tag emotions in user

photos and integrated Spotify API for emotion-based music recommendations.


◦ Improved emotion recognition accuracy from 40% to 77% by employing CNNs and deep learning with FER-2013

datasets.
Agentec – AI Automation & Agent Management Platform | Pitch Deck
◦ Developed a real-time AI agent management platform, addressing critical industry needs identified through

feedback from managers at Microsoft, Fidelity, and ProactAI.


◦ Enhanced enterprise adoption via centralized dashboard, onboarding flows, and intuitive agent directory.

◦ Conducted extensive usability testing and incorporated peer feedback to refine user interfaces, terminology clarity, and

navigation flows, improving overall user experience and accessibility for both technical and non-technical users.

Skills & Technologies


Languages: Python (3.x), Java, SQL, JavaScript, HTML/CSS, C#
Technologies: PyTorch, Ubuntu/Linux, Git, LATEX, Jupyter Notebook, Unity, OpenCV, Blender

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