About Me

My experience encompasses over 2 years in machine learning, data science, and deep learning; 5 years in full-stack software development; nearly 1 year in data analytics; and nearly 1 year in product engineering and supply chain management. In total, I bring 6+ years of professional international experience across Bangladesh and Germany, excluding relevant work completed during my bachelor's and master's degrees.

My Strength

I deliver high-quality results through accumulation, decomposition, simplification, and standardization of information into coded information. I apply first principle thinking, my own taste and my product sense, knowledge based on mathematical and algorithmic theory, and a polyglot toolkit (Python, JavaScript, C/C++, Rust, Swift, Java) combined with disciplined motivation to prototype and build solutions. My core strengths are in Python, JavaScript, and algorithms in Python and C++.

Extra Curricular

During my master's program, I took initiatives to build teams for hackathons and visit events in Lower Saxony, including one international tour in Europe. I was also an active member of an university club called "Leuphana Internationals" responsible for organizing events for all students with a focus on internationals, including trips to tourist destinations across Lower Saxony—Lübeck, Bremen, Schwerin, Goslar, and others—as well as seasonal events like Halloween celebrations. Prior to and during my bachelor's degree, I participated extensively in English debates on current affairs and completed 9 years of training as a vocalist specializing in Rabindrasangeet and Harmonium. I was also heavily in sports — basketball, roller skating, table tennis, and competitive-level cricket and chess in my region.

Hobbies

Currently, in my leisure time, I am exploring AI automation, social media strategy and marketing (LinkedIn, Snapchat, X, YouTube), Eastern European cooking, percussive guitar playing. I am also into sports, finance, and go to the gym 6 to 10 days a month. I aim to expand into amateur motorbiking once I obtain my German driver's license. Before moving to Germany, I maintained minimal social media presence and primarily preferred in person meetings, but I have since recognized its strategic value.

Values

I value knowledge acquisition, trust, loyalty, falling in love (with your work or a human), originality, measured confidence, and fairness.

Tech Stack:

Legend (click to expand)

Underline = Core expertise

No underline = Some experience

Circle = Actively advancing

• • Languages: Python, JavaScript, C/C++, Rust, Swift, Java, R
• • ML & Data Science: TensorFlow, PyTorch, Polars, OpenCV, LightFM, PySpark, FastAPI
• • Web (JavaScript): Vue, Angular, Node.js, TypeScript, Express,
• • Databases: MSSQL, MongoDB, PostgreSQL, Elasticsearch, Redis
• • Cloud & Infrastructure (GCP): Vertex AI, Kubernetes, Helm, Terraform
• • Data Streaming: Kafka
• • CI/CD & DevOps: GitLab CI/CD, Docker
• • Frontend Styling: Tailwind CSS, Bootstrap, Vuetify, Material Design, SCSS
• • AI Development Practices: Test-driven development (TDD), Spec-driven development (Claude code, augment code)

Algorithms & Methods:

Legend (click to expand)

Underline = Applied

No underline = Learned

• • Deep Learning: Autoencoders, CNN, GANs, Transformers, Diffusion Models, GNNs, Normalising Flows, RNN (LSTM, GRU), VAEs
• • Classical ML – Classification: Decision Trees, Logistic Regression, XGBoost, Naive Bayes, Random Forest, SVM
• • Classical ML – Clustering: KNN, Hierarchical Clustering, K-Means
• • Classical ML – Regression: Lasso, Linear Regression, Ridge
• • Sequence Models: HMM, Viterbi Algorithm, CRF
• • Optimisation: Particle Swarm Optimisation, Gradient Descent, Simulated Annealing
• • Probabilistic Modelling & Statistics: Bayesian Inference, MCMC, Expectation Maximisation, Gaussian Processes, Maximum Likelihood Estimation, Hypothesis Testing
• • Control & Signal Processing: PID Control, Fourier Transform, Kalman Filter
• • Dimensionality Reduction: PCA, t-SNE
• • Recommendation Systems: Collaborative Filtering, Matrix Factorisation

Projects:

• • Check out my projects page for detailed information.