I am a Data Science Intern specializing in Deep Learning pipelines and Computer Vision optimization.
My workflow is driven by Linux (Hyprland), emphasizing automation and efficiency in model deployment.
π± Currently Learning: Japanese (ζ₯ζ¬θͺ) & Advanced System Architecture
π§ System: Arch Linux / Hyprland / Wayland
|
Python |
Java |
C |
Bash |
SQL |
|
OpenCV |
Deep Learning |
Scikit-Learn |
Docker |
AWS |
|
Linux |
Git |
VS Code |
Vim |
Docs |
| Role / Organization | Key Technical Contributions |
|---|---|
| Data Science Intern Postulate InfoTech Pvt. Ltd |
[cite_start]β’ Engineered PSO & ACO algorithms, achieving a 20% efficiency boost in detection systems [cite: 16][cite_start]. β’ Developed machine learning models to solve complex data-driven performance challenges[cite: 17]. |
I focus on solving novel problems through algorithmic consistency and hardware-software integration.
- Patent Pending: Developing an AI-driven safety system for pressure cookers utilizing IoT and ML.
- [cite_start]Geospatial Intelligence: Expert in Mineral Prospectivity Mapping using LightGBM + Optuna with geospatial data fusion[cite: 21].
- [cite_start]Medical Diagnostics: Built end-to-end pipelines for Cancer Detection (Oral/Skin) using CNNs and ONNX for edge deployment[cite: 27, 28].
| Badge | Certification | Score | Authority |
|---|---|---|---|
 |
AWS Cloud Practitioner Essentials | 80% | [cite_start]AWS [cite: 37, 39] |
 |
Cybersecurity Essentials | 97% | [cite_start]Cisco [cite: 46, 47] |
 |
Networking Essentials | 92% | [cite_start]Cisco [cite: 44, 45] |
 |
Programming in Java | 90% | [cite_start]Infosys [cite: 48, 50] |
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