IIT HYDERABAD

Hi, I'm SAISHUBHAM
but you can call me Subbu.

M.Tech Student in Department of Computer Science at IIT Hyderabad, working in theoretical computer science with focus on algorithms, complexity theory, and mathematical foundations of computing.

Contact

About Me

I am currently pursuing M.Tech in Computer Science at IIT Hyderabad. My research interests lie in theoretical computer science, algorithm design, computational complexity, and rigorous mathematical analysis of computation models. I enjoy solving challenging problems that require deep analytical thinking and strong mathematical foundations.

Research

Research Interests

Complexity Theory Mathematical Foundations of Computing Dimensionality Reduction Randomized Algorithms

Publications

Pranit Narendra Muttha , Siddharth Mohan Lanke, Abhishek Vanshiv, Saishubham Laisetti, Swati Joshi
Drowsiness Detection System: Stay Alert Stay Alive. International Journal of Novel Research and Development. [PDF]

Academics

Relevant Coursework

Advanced Data Structures and Algorithms
Foundations of Machine Learning
Tensor: Techniques, Algorithms and Applications
Representation Learning
Linear Optimization
Spoken Japanese Basics

Achievements & Athletic Excellence

Gold Medalist – Men's 800m (Milan 2025 Inter-Hostel Championship)
Silver Medalist – Men's 400m | 1:00.65 PB (IITH Athletics League 2025-26)
Inter-IIT Track & Field Athlete – 58th Inter-IIT Sports Meet (Represented IIT Hyderabad in 800m, 1500m & 4x400m Relay)
Official IITH Athletics Profile & Results (Athlete Profile • Official Results)
Solved 200+ algorithmic problems across competitive programming platforms (LeetCode)
Research Assistantship – ScaleX Lab @ IIT Hyderabad
Full Marathon Finisher – NMDC Hyderabad Marathon 2025 (View Certificate)

Projects

Autonomous Driving Perception & Tracking Stack

Built a modular ROS2 autonomous driving pipeline integrating YOLOv8 2D detection, LiDAR processing (RANSAC + DBSCAN), EKF sensor fusion, ByteTrack 3D tracking, and Hybrid A* motion planning evaluated across real-world benchmark datasets.

🔗 View Repository

Random Projection Matching System

Built a C++ system analyzing dimensionality reduction impact on nearest neighbor matching accuracy.

Federated Distribution Shift Study

Studied label and feature shift in federated medical imaging environments.

Algorithmic Problem Solving

Solved graph and optimization problems using efficient C++ implementations.

Technical Skills

C++

Algorithms & Data Structures

Theoretical Computer Science

Python

Hi, I'm SAISHUBHAM but you can call me Subbu.