Welcome, my name is

Saquib Hussain

Associate Engineer – R&D (AI) | 2x Kaggle Expert

Results-driven Data Science enthusiast with hands-on experience in machine learning, deep learning, and reinforcement learning. I build intelligent systems that solve real-world problems.

Saquib Hussain

01. About Me

Hi πŸ‘‹ there! I currently work as an Associate Engineer – R&D (AI) at Senrysa Technologies, Kolkata. I hold a B.Tech. (Honors) in CSE (Data Science) from UTD, CSVTU, Bhilai.

My journey began at Jawahar Navodaya Vidyalaya, which taught me resilience and adaptability. I’m deeply passionate about AI/ML, Data Science, and research-oriented fields.

Beyond coding, I am a "Bibliophile" and a "Sketch Artist" ☺️. Portrait sketching is my form of meditation, keeping my mind creative and analytical. I'm always eager to connect with fellow tech enthusiasts!

Education

B.Tech (Honors) - Data Science

2021 - 2025 | CGPA: 7.96

University Teaching Department (UTD), CSVTU, Bhilai, C.G.

Senior Secondary School (CBSE)

2021 | 65.60%

Sun Valley Public School, Varanasi, U.P.

Secondary School (CBSE)

2019 | 79.80%

JNV Bhadohi, U.P.

02. Technical Skills

My technical toolkit and stack

Languages

Python MySQL R C/C++ (DSA)

Libraries

NumPy Pandas Matplotlib Scikit-learn TensorFlow Keras PyTorch OpenCV Streamlit FastAPI Pydantic

AI / ML

Data Cleansing Machine Learning Deep Learning NLP Reinforcement Learning Statistics

Tools

Git/GitHub Jupyter Google Colab VS Code RStudio MySQL Workbench Excel

03. Work Experience

Associate Engineer – R&D (AI)

Senrysa Technologies

Sep 2025 – Present

Currently working on cutting-edge AI research and development projects.

Research Intern

IIT Jammu (Reinforcement Learning & Deep Learning)

Feb 2024 – Jul 2024

  • Developed RL-Based Intrusion Response System (RL-IRS).
  • Implemented VarDetect framework with datasets like Fashion MNIST/CIFAR10.
  • Created adversarial samples using FGSM with ResNet50.

Machine Learning Intern

iHUB at IIT Roorkee

Jul 2023 - Sep 2023

  • Implemented ML algorithms (SVM, KNN, Random Forest, etc.).
  • Completed "Explore different datasets with classifiers" project.
  • Maintained strict version control via GitHub.

04. Featured Projects

MasterChef

Deep learning application transforming food images into recipes using Transformer Architecture. Built with Streamlit, Computer Vision, and NLP.

Transformers β€’ Deep Learning β€’ NLP β€’ Streamlit

Object Detection & Tracking

Real-time implementation for video streams and static images. High-performance tracking algorithm accessible via web.

OpenCV β€’ YOLOv8 β€’ Python β€’ Real-time Object Detection

Classifier Explorer

Streamlit app to explore different classifiers on various datasets with real-time interactivity and 2D PCA visualization.

PCA β€’ Scikit-learn β€’ Data Visualization

Facial Analysis App

Analyzes uploaded images to predict Age, Gender, and Emotion using DeepFace, OpenCV, and Streamlit.

DeepFace β€’ OpenCV β€’ Streamlit

Pandas Profiling Report Generator

Upload CSV files to generate detailed Pandas Profiling reports and download them as HTML.

Pandas β€’ Automation β€’ Python

05. Achievements

2x Kaggle Expert

Datasets & Notebooks

View Profile

1300+ Contributions

35+ Repositories

View Profile

850+ Problems

Competitive Programming and DSA

View Codolio

Finalist

Dark Patterns Buster Hackathon - 2023

View Certificate

What's Next?

Get In Touch

Whether you have a question about AI, want to discuss a project, or just want to say hi, my inbox is always open.