👋 Hello, World! I'm Zhansaya

🌟 Dynamic software artisan stepping into AI/ML Engineering.
Fluent in the languages of code and curiosity, I craft solutions that bridge the gap between innovation and impact.

📚 I have a Bachelors and Masters in Computer Science.

📝 My recent hobby is Kaggle: perfect way to put my ML/AI knowledge in practice. Visit My Kaggle Profile

🌱 I believe in the power of continuous learning and I am always on the lookout for opportunities to broaden my skill set.
Currently, I'm diving deeper into Generative AI.

💼 Storytelling Through Experience
- Full-Time Parenting, Career Rebirth: Juggling motherhood and career aspirations.
- Freelance Mobile App Developer: Bringing ideas to life, one app at a time.
- Software Developer, Kaspi Bank: Building digital solutions and embracing innovation.

💃🏻 Beyond the Keyboard
- Dance Enthusiast: Grooving to the rhythm of life, from salsa to cyberspace.
- Yoga Practitioner: Finding balance in a world of bytes and bits.
- Literature Lover: Getting lost in the pages of history and fiction.
- Travel Junkie: Exploring new cultures and cuisines.
- Charity Advocate: Making a difference, one small act of kindness at a time.

🛠️ Recent Projects:
- Flask Web App for Audio & Sentiment: Turning audio into insights with Flask. Details
- Brainwave Exploration with TensorFlow: Unraveling the mysteries of brainwaves. Details
- Gemma's Writing Adventures: Crafting prompts with Gemma's help. Details
- Math Solver AI: Solving math problems with the power of AI. Details
- Predicting Molecular Bindings: Delving into the world of molecular interactions. Details

💻Tech Stack

Let's get in touch!

github contribution grid snake animation

Zhansaya Yussupova Last Edited on : 26/04/2024

Zhansaya Yussupova's Projects

a3c_agent_pytorch

This code implements an Asynchronous Advantage Actor-Critic (A3C) algorithm using PyTorch to train an agent to play the Atari game "Boxing"

ai_math_solver

The project deploys a pre-trained language model to efficiently solve mathematical problems by generating textual answers based on input questions. It enhances performance with optimizations like quantization and extracts numerical answers from the generated text.

credit_risk_model

Create a model to predict which clients are more likely to default on their loans.

gemma

Google – AI Assistants for Data Tasks with Gemma

gemma_prompt_recovery

The project aims to generate prompts for essay rewriting by fine-tuning the Gemma model on a dataset of original and rewritten texts, integrating LoRA for efficient training and inference. Tools: Python, Hugging Face's Transformers and Datasets, Gemma, LoRA, Accelerate, PyTorch, Pandas.

harmful_brain_acitivity

Harmful Brain Activity Detection Classification - Classify seizures and other patterns of harmful brain activity in critically ill patients

kaggle_titanic

Machine learning to predict which passengers survived the Titanic shipwreck

molecule_binding_prediction

The project utilises ML models and ensembles to predict molecular binding, leveraging fingerprints and protein features. It evaluates model performance, integrates calibration for refined predictions, and aims to optimise accuracy in chemical compound interactions. Tools: DuckDB, RDKit, XGBoost, CatBoost, LightGBM, Ensemble Learning,Calibration

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