Hello, Geeks!
I am
Sourav
Mallick
Computer Science Student /
Aspiring Software Developer
Aspiring Software Developer
Exploring AI, building projects, and continuously learning new technologies — one commit at a time.
Who I Am
About Me
SM
Sourav Mallick
CS Student · Developer
5+
Projects
3+
Languages
∞
Curiosity
Hi! I'm Sourav Mallick, a Computer Science student with a deep passion for technology and problem-solving. I'm on a continuous learning journey, exploring the fascinating intersections of Artificial Intelligence, Machine Learning, and software development.
What excites me most is building things — whether it's experimenting with GANs for video anomaly detection or crafting clean, functional web applications. I believe in the power of curiosity-driven learning and embrace every challenge as an opportunity to grow.
I'm not an expert yet — and that's the point. I'm a student who shows up consistently, asks the right questions, and iterates quickly. Every project I build teaches me something new, and that's what keeps me going.
🤖 Artificial Intelligence
📊 Machine Learning
🎨 Generative AI
💻 Software Development
🧮 Algorithms
🔬 Research
🌐 Web Dev
⬇ Download Resume (PDF)
Machine Learning • Artificial Intelligence • Generative AI •
Machine Learning • Artificial Intelligence • Generative AI •
Machine Learning • Artificial Intelligence • Generative AI •
Machine Learning • Artificial Intelligence • Generative AI •
Creative Developer • CS Student • Software Engineer •
Creative Developer • CS Student • Software Engineer •
Creative Developer • CS Student • Software Engineer •
Creative Developer • CS Student • Software Engineer •
Technical Stack
Skills & Tools
Programming Languages
Python80%
Java65%
C / C++60%
JavaScript50%
AI / ML Technologies
GANs70%
Transformers /
Attention55%
Deep Learning
Basics65%
PyTorch /
TensorFlow50%
Dev Tools
Git & GitHub72%
VS Code85%
Linux / Bash55%
Jupyter Notebooks75%
CS Concepts
Data Structures75%
Algorithms70%
OOP78%
Database Basics55%
What I've Built
Featured Projects
01 — AI/ML
GAN-Based Video Anomaly Detection
Developed a system using Generative Adversarial Networks to detect anomalous events in
surveillance video. The model learns the distribution of "normal" frames and flags
deviations
during inference.
Key Learning
Understood GAN training dynamics, mode collapse issues,
and
how reconstruction error can act as an anomaly score.
02 — AI/ML
Transformer Attention Visualizer
An interactive tool that visualizes self-attention maps from pre-trained transformer models.
Built to deepen understanding of how attention mechanisms work across different NLP tasks.
Key Learning
Gained hands-on understanding of multi-head attention,
positional encoding, and why transformers excel at long-range dependencies.
03 — Software
Student Task Manager CLI
A command-line productivity tool for students to manage assignments, deadlines, and study
sessions. Features priority queuing, reminder notifications, and a clean terminal UI.
Key Learning
Reinforced OOP principles, file I/O, and applying data
structures like priority queues in real-world contexts.
04 — Web
AI Concepts Blog Platform
A minimal blogging platform built to document and share learning notes on AI/ML concepts.
Features markdown rendering, categorized posts, and a clean reading experience.
Key Learning
Learned frontend fundamentals, responsive design
principles,
and the value of writing to solidify understanding.
05 — AI/ML
Image Classification with CNN
Implemented and trained a Convolutional Neural Network on CIFAR-10 dataset from scratch.
Experimented with different architectures, learning rates, and regularization techniques.
Key Learning
Understood convolutions, pooling, batch normalization,
and
the impact of hyperparameter tuning on model accuracy.
Academic Journey
Education
B.Tech — Computer Science & Engineering
Your University / College Name, Odisha
2022 – 2026 · Currently Enrolled
Relevant Coursework
Artificial Intelligence
Machine Learning
Data Structures & Algorithms
Software Engineering
Computer Networks
Operating Systems
Database Management
Object Oriented Programming
Computer Vision
Growth & Learning
Achievements & Certifications
Deep Learning Specialization
Completed Andrew Ng's course covering CNNs, RNNs, and
optimization
techniques on Coursera.
✓ COURSERA · 2024
Generative AI Fundamentals
Studied GANs, VAEs, and diffusion models — applied knowledge to
the
anomaly detection project.
✓ SELF-STUDY · 2024
Python for Data Science
Completed a structured course covering NumPy, Pandas,
Matplotlib,
and data preprocessing pipelines.
✓ CERTIFIED · 2023
Transformers Architecture Study
Self-studied "Attention is All You Need" paper and implemented
a
mini transformer from scratch.
✓ PAPER STUDY · 2024
College-Level Coding Contest
Participated in intra-college programming competitions, solving
algorithmic and logic-based challenges.
✓ PARTICIPANT · 2023
Key Topics Mastered
GANs · Transformers · Attention Mechanisms · Backpropagation ·
Computer Vision basics · NLP fundamentals
✓ ONGOING LEARNING
Thoughts & Notes
From the Blog
Mar 2025 · AI/ML
Understanding GANs: How Generators and Discriminators Play a Zero-Sum
Game
A beginner-friendly walkthrough of how Generative Adversarial Networks
work, common pitfalls like mode collapse, and lessons from implementing one...
Read More →
Feb 2025 · Theory
Breaking Down "Attention is All You Need" — My Notes on the Transformer
Paper
My attempt to summarize the landmark Transformer paper in plain
language,
with diagrams and code snippets to make the math approachable...
Read More →
Jan 2025 · Reflection
6 Months of Learning ML: What Worked, What Didn't, and What's Next
An honest reflection on my journey learning machine learning as a CS
student — the resources that helped most and the mindset shifts along the way...
Read More →
Get In Touch
Let's Connect
I'm always open to interesting conversations, collaboration opportunities, or just talking about AI and tech. Feel free to reach out!