cv
Basics
Name | Aditya Dutta |
Label | Student/Programmer |
adi22dutta@gmail.com | |
Phone | +91-9382522757 |
Url | https://mrishu.github.io |
Summary | A passionate programmer and student with a knack for problem-solving and a strong foundation in mathematics and computer science. |
Work
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2022.08 - 2023.03 MS Project
Indian Institute of Science Education and Research Kolkata (IISER Kolkata)
Conducted in-depth research on Complex Dynamical Systems and Complex Analysis under Dr. Sushil Gorai. Developed detailed animations and visualizations using Matplotlib.
- Conducted research on Complex Dynamics
- Developed visualizations and animations using Matplotlib
Education
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2023.08 - 2025.06 M.Tech
Indian Statistical Institute, Kolkata (ISI Kolkata)
Computer Science Score: 81.44%
- Discrete Mathematics
- Information Retrieval
- Machine Learning I and II
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2018.08 - 2023.06 BS-MS Dual-Degree
Indian Institute of Science Education and Research Kolkata (IISER Kolkata)
Mathematics Score: 8.07
- Real Analysis
- Complex Analysis
Skills
Programming Languages | |
Python | |
C | |
C++ | |
Java | |
Bash |
Libraries | |
PyTorch | |
Scikit-learn | |
NumPy | |
SciPy | |
Pandas | |
Matplotlib | |
Gymnasium | |
StableBaselines3 |
Tools & Systems | |
Git | |
Linux | |
Neovim | |
Docker |
Databases | |
MySQL |
Projects
- 2015
- 2020
libg-fzf
Created a POSIX-compliant shell script to download documents from the Library Genesis website directly via the terminal. (Received 40+ stars on GitHub.)
- 2021
welearntui
Automated batch downloading of lecture notes from the institute’s website during the COVID-19 lockdown.
- 2020
- 2024
Homeserver
Set up a home server on an old laptop to host a personal website and cloud service using Nextcloud.
- 2024
- 2024
Information Retrieval Models using PyLucene
Implemented information retrieval models based on truncated probability distributions (EXP-T and GLL-T) using PyLucene. Tested performance on the TREC678 dataset in comparison with BM25.
- 2024
Tic-Tac-Toe RL Agent
Trained and ran tests on two Tic-Tac-Toe Reinforcement Learning agents using Monte Carlo and Q-Learning.
- 2024
Computer Vision Implementations
Implemented Anisotropic Diffusion, Harris Corner Detection, and Lucas Kanade Optical Flow algorithms.
- 2024
MinHash Implementation
Efficient implementation of the MinHash algorithm for approximating Jaccard similarity.
- 2024
- 2024
Human Detection through HOG
Implemented a human detection system using Histogram of Oriented Gradients (HOG).
- 2024
Next Word Prediction
Implemented next word prediction systems using a Trigram Model with back-off and LSTM.
- 2024
Connect4 RL Agents
Developed and trained reinforcement learning agents for Connect4 using PPO, A2C, DQN, curriculum-based training, and UCB heuristics.