ARYAN DUA
Senior Undergraduate at CSE, IIT Delhi
Pioneering the future of AI & Machine Learning
About Me
I'm a Computer Science student at IIT Delhi with a passion for exploring the limitless possibilities of technology. My journey is driven by an insatiable curiosity for Machine Learning, Artificial Intelligence, and their transformative real-world applications.
From designing AI-driven personalized treatment pathways to fine-tuning language models, I thrive at the intersection of innovation and impact. I've delved into diverse areas such as natural language processing, image recognition, and graph algorithms.
What excites me most is solving complex problems through elegant code and collaborative teamwork. Whether developing AI products, contributing to ML research, or pushing the boundaries of deep learning, I aim to create technology that not only innovates but also benefits society.
Core Interests
{ Education }
B.Tech + M.Tech in Computer Science
Indian Institute of Technology, Delhi
GPA: 9.00 | Department Rank: 8 | Merit List (Top 7%)
Work Experience
Quant Intern
Quadeye
- Worked in Equity Derivatives to recognise profitable opportunities and devised a high frequency arbitrage strategy
- Produced competitive market returns for cash and carry strategy with minimal delta
- Analysed Volume, Trades and Order-book changes to generate signals for market positions
ML Engineer
Ripik.ai
- Developed Ripik Optimus, an AI production planner for pharmaceutical manufacturing (SunPharma)
- Architected task-based graph optimization algorithms for optimal drug production schedules
- Designed robust pipelines for data preprocessing and feature engineering
Research Intern
Zuse Institute Berlin
- Programmed asynchronous algorithms involving gradients, projections and proximity operators
- Determined hyperparameter selection strategies for synchronous and asynchronous algorithm versions
Master's Thesis
AI-Based Personalized Treatment Pathways
Developing AI-driven systems for personalized medical treatment recommendations
Featured Projects
Graph-to-Text Conversion Using GPT-2
Extended graph-to-text methodology using GPT-2 on WebNLG dataset. Fine-tuned GPT-2 for generating coherent text from structured graphs.
Hate Span Detection with BERT & CRF
System to identify hateful spans within sentences using BERT and Conditional Random Fields for improved sequence labeling.
CUDA Image Processing Library
Optimized image processing library in C++ and CUDA for MNIST recognition implementing LeNet-5 architecture with GPU acceleration.
Distributed Maze Solver with MPI
64x64 perfect maze generator and solver using MPI with BFS, Kruskal's, DFS, and Dijkstra's algorithms with parallel processing.
CRDT Collaborative Editor
CRDT-based collaborative Jupyter notebook-styled editor enabling real-time collaboration with conflict-free concurrent edits.
Linux Kernel Modifications
Implemented scheduling, memory management, and device drivers in the Linux Kernel. Added system calls for context switch tracking.
Technical Skills
Languages
Frameworks & Tools
Courses Completed
Recommendations
I am thrilled to offer my wholehearted recommendation for Aryan. Throughout his time with us, he consistently showcased strong analytical abilities, a keen grasp of complex concepts, and a genuine enthusiasm for learning. Aryan's relentless pursuit of excellence and positive attitude left a significant impact on our team.
Aryan is an excellent programmer and researcher -- I was repeatedly impressed by how quickly he grasped onto graduate-level topics in mathematics, as well as how he was very self-driven in both learning theory and developing code.
Aryan's determination to success led him to excel in class 12th. One thing which differentiates Aryan from other students is his curiosity and the habit of asking questions. He is very organised, consistent and persistent. Aryan has a growth mindset and able to connect learning to life.
Get In Touch
I'm always interested in hearing about new opportunities, collaborations, or just having a chat about AI and technology. Feel free to reach out!