Entering the Matrix...

AI/ML Research · Robotics · Software Engineering

Mechatronics Undergrad @ IIT Bhilai  |  IEEE Published Researcher  |  Inter IIT 5th Rank

Results-driven engineer bridging Machine Learning, Robotics (ROS2/Isaac Sim), and Software Engineering. Published IEEE researcher in 6G RIS systems. Top 3.5% at Amazon ML Challenge (700/20,000+ teams). Building GNN architectures for protein modelling and open-source 6G simulators.

View Projects Control Arm

> ./INITIATE: Profile_Vamsi.exe

[user@matrix ~]$ ./load_profile --vamsi

Accessing IIT Bhilai mainframe... Connection established.

Querying Mechatronics Undergraduate Program... Subject: Galaba Vamsi.

Expected graduation: 2027. Status: Active, High Potential.

Core directive: Engineer advanced robotic systems, innovate relentlessly.

Secondary directive: Share knowledge, foster collaborative success.

[user@matrix ~]$ cat Skills_Matrix.log

  • [AI/ML]: PyTorch, Graph Neural Networks, Safe RL, Transformers (Qwen-VL, ViT, RoBERTa), OpenCV
  • [ROBOTICS]: ROS2, NVIDIA Isaac Sim, MuJoCo, Custom Python Simulators, PLC, Drone Dev
  • [6G/NETWORKS]: Wi-Fi PHY/MAC Modelling, IEEE 802.11k/v, SDR/USRP, RIS Simulation, Linux
  • [WEB/APP]: React.js, Node.js, Three.js, WebGL, Flutter, Flask
  • [LANGUAGES]: Python, C/C++, JavaScript, Dart, Go
  • [HW/DESIGN]: DipTrace, SolidWorks, CST Microwave Studio, PCB Design

[user@matrix ~]$ ls -l Project_Archives.dat

  • [ACTIVE — 2025]: GNN for Electron Interactions in Protein Structures (Quantum Chemistry)
  • [IEEE PUB — 2025]: Open-Source 6G RIS Simulator & Testbed — IEEE INDICON 2025 (First Author)
  • [TOP 3.5% — 2025]: Amazon ML Challenge — Qwen 2-VL + RoBERTa, SMAPE 49.0 (700/20,000+ teams)
  • [RESEARCH — 2025]: Shared-Action Autonomous Smart Wheelchair (Isaac Sim + MuJoCo)
  • [DEPLOYED — 2024]: Serenity Mental Health App — Flutter + CV emotion detection

[user@matrix ~]$ run Recreation_Subroutines.ini

  • [ATHLETICS_CORE]: Badminton (Champion), Basketball, Football, Cricket
  • [LITDB_ACCESS]: Sci-Fi (The Martian, Dune, Three-Body Problem)
  • [LOGIC_PUZZLES]: Sudoku, Crosswords
  • [MEDIA_STREAM]: Cinematography, Storytelling, Film & Photography Society
  • [GAMING_MODULE]: Strategy, Card Games, Console, Game Design

[user@matrix ~]$ echo "Contact for collaboration or system integration."

Contact for collaboration or system integration.

> ./Key Projects & Research

GNN Protein Structure

AI-Powered Electron Interaction in Protein Structures

2025 – Present

Designing Graph Neural Network (GNN) architectures to model complex electron interactions within protein structures, bridging deep learning and computational quantum chemistry.

PyTorch · GNN · Quantum Chemistry
6G RIS Simulator

Open-Source 6G RIS Simulator & Testbed

2025 · IEEE INDICON — First Author

Engineered a zero-budget, open-source RIS simulator emulating USRPs in LoS/NLoS environments, saving lakhs in hardware costs. Designed custom two-layer RIS PCB for RF energy harvesting.

SDR/USRP · IEEE 802.11 · DipTrace · CST
Amazon ML Challenge

Amazon ML Challenge — Top 3.5%

2025 · 700 / 20,000+ Teams

Led multimodal price prediction using Qwen 2-VL 7B and a two-tower (ViT + RoBERTa) architecture over 75,000 data pairs, achieving an SMAPE score of 49.0.

Qwen VL · RoBERTa · ViT · Transformers
Smart Wheelchair

Shared-Action Autonomous Smart Wheelchair

2025 · IIT Bhilai Research

Developed a shared-control system integrating multiple stimulus inputs and joystick navigation with deep learning-based real-time signal processing; validated dynamics in Isaac Sim and MuJoCo.

ROS2 · Isaac Sim · MuJoCo · Deep Learning
Serenity App

Serenity — Mental Health App

2024 · Open Source

Open-source Flutter app integrating CV-based real-time emotion detection, stress-revealing games, guided exercises, research-backed assessment quizzes, and a doctor appointment booking system.

Flutter · OpenCV · Flask · ML

> ./Technical Expertise

AI & Machine Learning

  • PyTorch · Graph Neural Networks (GNN)
  • Safe RL · Transformers
  • Qwen 2-VL · ViT · RoBERTa
  • Computer Vision (OpenCV, DIP)
  • Bayesian Optimization

Robotics & Simulation

  • ROS2 · NVIDIA Isaac Sim
  • MuJoCo · Custom Python Simulators
  • PLC · Drone Development
  • DipTrace · CST Microwave Studio
  • PCB Design · SolidWorks

Systems & Networks

  • Wi-Fi PHY/MAC · IEEE 802.11k/v
  • SDR/USRP · 6G / RIS Technology
  • Linux · Git
  • OBSS-PD · Beamforming
  • Signal Processing

Web & App Dev

  • React.js · Node.js · Three.js
  • WebGL · Flask · REST APIs
  • Flutter (Mobile)
  • HTML · CSS · Tailwind

💻 Languages

  • Python · C / C++
  • JavaScript · Dart
  • Go
  • MATLAB · Bash

> ./Publications & Achievements

Publications

  • First Author — "An Open Emulator for Smart Radio Environments" · IEEE INDICON 2025
  • Co-Author — "Experience with RF Energy Harvesting-Driven Self-Powered RIS" · IEEE INDICON 2025

Achievements

  • 5th Rank — Arista Networks Wi-Fi Optimization Challenge, Inter IIT Tech Meet 14.0
  • Top 3.5% — Amazon ML Challenge 2025 (700 / 20,000+ teams)
  • Top 10 Finalist — Toyota Hackathon
  • Team Lead for Inter IIT problem statement (5th Rank, Dec 2025)

Robotic Arm Controls

Interact with the 6-DOF robotic arm in real-time. Adjust the sliders to control each joint or select a preset movement pattern.

Joint Controls

45°
90°
50%

> ./Movement_Presets

> ./Get In Touch

Open to research collaborations in AI/ML, Robotics, and 6G Networks. Also seeking internship and research opportunities. Feel free to reach out!

Send Email
resume_downloader.sh
$ ./fetch_resume --target=galaba_vamsi --format=pdf
Connecting to resume server...
Authentication successful.
Locating file: Galaba_Vamsi_Resume.pdf
File size: 2.3 MB
Last modified: March 2026
Status: READY_FOR_DOWNLOAD
$ Download ready. Execute command below:
wget Galaba_Vamsi_Resume.pdf
$ # Complete resume with technical skills, projects & experience
> ./VamsiBot.exe
Status: Online | Knowledge Base: Loaded
[VamsiBot]: Hello! I'm VamsiBot, your AI assistant. I can answer questions about Galaba Vamsi's projects, skills, education, and experience. What would you like to know?