Saquib Hussain +

Welcome, I'm Saquib Hussain

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

Results-driven Data Science enthusiast with hands-on experience in machine learning, deep learning, and reinforcement learning, complemented by impactful internships, advanced projects, and strong coding skills.

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About Me

Hi 👋 there! My name is Saquib Hussain, and I currently work as an Associate Engineer – R&D (AI) at Senrysa Technologies, Kolkata. I hold a B.Tech. (Honors) degree in Computer Science and Engineering (Data Science) from the University Teaching Department (UTD), CSVTU, Bhilai, Chhattisgarh. I’m deeply passionate about AI/ML, Data Science, and research-oriented fields that focus on solving real-world problems. I completed my schooling at Jawahar Navodaya Vidyalaya, which served as the foundation of my educational journey. This institution taught me the values of self-dependence, adaptability, and resilience, shaping me into a confident problem solver. It also nurtured my love for reading, especially in Hindi and English literature. In my free time, I enjoy reading and collecting books, as well as portrait sketching, which I consider a form of mind meditation. You could also call me a “Sketch Artist.” ☺️ I believe these hobbies help me stay creative while strengthening my analytical thinking. I’m always eager to connect with fellow professionals in the tech industry and learn from their experiences. If you’re interested in discussing programming, data science, or anything tech-related, feel free to reach out! ☺️

Education

  • Graduation - B.Tech. (Honors) CSE (Data Science): University Teaching Department (UTD), CSVTU, Bhilai, C.G., India

    2021 - 2025 | CGPA: 8.58

  • Senior Secondary School/CBSE: Sun Valley Public School, Varanasi, U.P., India

    2021 | 65.60%

  • Secondary School/CBSE: Jawahar Navodaya Vidyalaya (JNV) Bhadohi, U.P., India

    2019 | 79.80%

Skills

Programming Languages

Python, SQL, R, C/C++, DSA(C++)

Libraries and Frameworks

NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV, Streamlit

Data Science

Machine Learning Algorithms, Machine Learning Statistics, Reinforcement Learning, NLP, Deep Learning, Data Science pipeline (data cleansing, visualization, modeling, interpretation)

Other Skills

Hypothesis Testing, OOP, Excel, Git, GitHub, Google Colab, Jupyter, VS Code

Experience

Associate Engineer – R&D (AI) at Senrysa Technologies

Sep 2025 – Present

Research Intern (Reinforcement Learning and Deep Learning) – IIT Jammu

Feb 2024 – Jul 2024

  • Researched and developed a Reinforcement Learning-Based Intrusion Response System (RL-IRS) by integrating the Bellman equation and hyperbolic tangent reward function into a custom RL model.
  • Implemented the VarDetect framework, generated attacker/non-attacker datasets (Fashion MNIST, CIFAR10), and calculated Maximum Mean Discrepancy (MMD) and Mahalanobis distances for threshold analysis.
  • Created adversarial samples using FGSM attack with ResNet50, extracted embeddings using VAE, and visualized datasets in 3D via PCA and evaluated the model’s performance with a confusion matrix (TP=974, FN=26, FP=387, TN=613).

Machine Learning Intern – iHUB at IIT Roorkee

Jul 2023 - Sep 2023

  • Implemented Python libraries (e.g., Matplotlib, NumPy, Pandas) and Machine Learning Algorithms (e.g., SVM, KNN, Naïve Bayes, Decision Tree, Random Forest, Linear and Logistic Regression and Apriori Algorithms).
  • Completed a project that “Explore different datasets with classifiers”
  • During the internship phase, I pushed all code to GitHub to secure my learning and project works in GitHub Repository.

Projects

MasterChef

MasterChef is a deep learning-powered (Transformer Architecture Based) application that transforms food images into personalized recipes using computer vision and natural language processing. Built with Streamlit for the frontend, it integrates advanced image processing and text generation techniques to deliver accurate dish identification and step-by-step cooking instructions.

View on GitHub

Object Detection and Tracking Algorithm

Object Detection and Tracking Algorithm Implementation for Real-Time Video Streams and Static Images.

View on Streamlit

Explore Different Datasets with Different Classifiers

This Streamlit app enables users to explore different classifiers applied to various datasets, offering real-time interactivity to select datasets, classifiers, and parameters, while visualizing data in a 2D space using PCA

View on Github

Facial Analysis App

The Streamlit Facial Analysis App is a simple web application that allows users to upload images and perform facial analysis on them. It utilizes popular libraries like OpenCV, DeepFace Numpy , Pillow , and Streamlit to create an easy-to-use interface for analyzing/predict the Age , Gender and Emotion of image.

View on GitHub

Pandas Profiling Report Generator

This app allows you to upload a CSV file, generate a Pandas Profiling report, and download the report in HTML format.

View on GitHub

Achievements

Kaggle

- 2x Kaggle Expert (Datasets, Notebooks), Highest Rank Achieved is 539 and 1082 respectively.

- Kaggle Discussions Legacy Expert (Highest Rank Achieved 369).

Link

GitHub

1200+ Contributions and 30+ Repositories

Link

Competitive Programming

Completed 800+ coding challenges on various platform

Link

Hackathons

Finalist (Awards Round) in Dark Patterns Buster Hackathon (DPBH) – IIT BHU 2023

Link

Contact

Get in Touch

Email: saquib9451@gmail.com

Phone: +91 8542817707

LinkedIn | GitHub | Kaggle | Codolio

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