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I'm a computer science and data science student at UC Berkeley, passionate about building reliable software and turning data into actionable insights. I enjoy turning ideas into polished, scalable products and learning new technologies. Across internships and personal projects, I built full-stack apps, dashboards, and data pipelines using React, Python, TypeScript, and SQL. I thrive in collaborative environments and love solving challenging problems with sound engineering and data-driven decision making.…I'm a computer science and data science student at UC Berkeley, passionate about building reliable software and turning data into actionable insights. I enjoy turning ideas into polished, scalable products and learning new technologies. Across internships and personal projects, I built full-stack apps, dashboards, and data pipelines using React, Python, TypeScript, and SQL. I thrive in collaborative environments and love solving challenging problems with sound engineering and data-driven decision making.

Danial Toktarbayev

Full Stack Developer, Web Developer, Programmer, +2

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I'm a computer science and data science student at UC Berkeley, passionate about building reliable software and turning data into actionable insights. I enjoy turning ideas into polished, scalable products and learning new technologies. Across internships and personal projects, I built full-stack apps, dashboards, and data pipelines using React, Python, TypeScript, and SQL. I thrive in collaborative environments and love solving challenging problems with sound engineering and data-driven decision making.…I'm a computer science and data science student at UC Berkeley, passionate about building reliable software and turning data into actionable insights. I enjoy turning ideas into polished, scalable products and learning new technologies. Across internships and personal projects, I built full-stack apps, dashboards, and data pipelines using React, Python, TypeScript, and SQL. I thrive in collaborative environments and love solving challenging problems with sound engineering and data-driven decision making.

Available to hire

I’m a computer science and data science student at UC Berkeley, passionate about building reliable software and turning data into actionable insights. I enjoy turning ideas into polished, scalable products and learning new technologies.

Across internships and personal projects, I built full-stack apps, dashboards, and data pipelines using React, Python, TypeScript, and SQL. I thrive in collaborative environments and love solving challenging problems with sound engineering and data-driven decision making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Engineering Intern at AmpUp

March 1, 2025 - March 1, 2025

Built a full-stack EV incentive explorer using React, TypeScript and SQLite and internal Retool dashboard so marketing/sales and prospects could quickly self-serve incentive data. Designed and maintained ETL pipelines in Python with BeautifulSoup and Selenium to ingest and normalize EV incentive data from 10+ federal, state, and utility sources. Used an LLM-assisted normalization step to standardize program names, eligibility, etc. into one unified dataset. Automated weekly refreshes of the pipelines and dashboards so incentive information stayed up to date.

Software Engineering Intern at BI Innovations, BI Group

August 1, 2023 - August 1, 2023

Created a web-based KPI dashboard in Python (Flask/Streamlit) consolidating 10,000+ records across 12 sources, giving marketing/sales a searchable view to target the right customers and run higher-conversion campaigns. Implemented customer classification logic that improved query relevance and boosted sales conversions by 25%. Compiled a dataset of 50,000 SMBs for commercial property targeting, cutting lead acquisition time by 40%.

Software Developer at PromptDriven (PDD-CLI), Developer Tooling

August 1, 2025 - November 9, 2025

Extended a TypeScript-based VS Code extension to auto-install the PromptDriven CLI, reducing first-time setup friction for new users. Expanded the CLI--helpsystem so developers can access rich, manpage-level guidance without leaving the terminal.

Teaching Assistant at UC Berkeley, CS 188 - Intro to AI

June 1, 2025 - June 1, 2025

Led discussions and office hours for 500+ students on search, constraint satisfaction problems, game trees, Markov decision processes, reinforcement learning, probabilistic inference (Bayesian networks, HMMs), and neural models.

Undergraduate Researcher at GradeView, UC Berkeley

May 1, 2025 - May 1, 2025

Built a usage analytics dashboard for GradeView on student activity to give instructors insight into tool adoption.