GOKUL
LEARNING BY BUILDING. RESEARCHING BY DOING. DATA PRODUCTS AND SOFTWARE FROM REAL QUESTIONS.
Debuggerpaco•
GOKUL KRISHNA
AI, Data Science & Software
TURNING REAL QUESTIONS INTO USEFUL DATA PRODUCTS AND SOFTWARE
MAHATMA GANDHI UNIVERSITY • INDIA
RESEARCH & BUILD
AI • ML • DATA SCIENCE • SOFTWARE
I AM GOKUL KRISHNA, A COMPUTER SCIENCE UNDERGRADUATE AT MAHATMA GANDHI UNIVERSITY. I BUILD MACHINE LEARNING SYSTEMS, DATA PRODUCTS, AND OPEN-SOURCE SOFTWARE, WITH A FOCUS ON TESTING, REPRODUCIBILITY, AND CLEAR EXPLANATIONS.
BACKGROUND & VISION
SCROLL TO EXPAND
MACHINE LEARNING DATA SCIENCE OPEN SOURCE SOFTWARE ENGINEERING
COMPUTER SCIENCE APPLIED RESEARCH TECHNICAL WRITING DATA PRODUCTS
SELF-DIRECTED LEARNING
FOUNDATION & JOURNEY
HOW I
WORK
Learning through coursework, internships, applied projects, and open-source contributions.
LEARNING
FOUNDATIONS
COMPUTER SCIENCE
COMPUTER
SCIENCE
Studying Computer Science in the 4+1 Integrated UG/PG Programme at Mahatma Gandhi University, with interests in machine learning, AI, and data science.
MILESTONE 01
Builds foundations in algorithms, databases, and machine learning
MILESTONE 02
Uses Python, Java, R, and Apache Spark across coursework and projects
MILESTONE 03
Documents reproducible experiments and their limitations
BUILDING
APPLIED WORK
OPEN SOURCE / DATA PRODUCTS
PUBLIC WORK
DATA & AI
BUILDER
Building useful applications and research-oriented projects across forecasting, recommendation, NLP, accessibility, public-interest software, and developer tooling.
DELIVERY
Ships projects with interfaces, documentation, and automated checks
INFRASTRUCTURE
Builds with Python, FastAPI, React, TypeScript, and Docker
WRITING
Explains algorithms, benchmarks, and model debugging through published articles
FEATURED PROJECTS
WRITING
AREAS OF FOCUS
MACHINE LEARNING, DATA SCIENCE, AND USEFUL SOFTWARE. ASKING BETTER QUESTIONS, TESTING HONESTLY, AND DOCUMENTING THE RESULTS.
1
MACHINE LEARNING & NLP
Applied modeling for sentiment analysis, harmful-content detection, recommendation, customer analytics, and intrusion detection. Comparing baselines and documenting evaluation limits.
TOOLS: PYTHON, SCIKIT-LEARN, NLP, DEEP LEARNING
2
DATA SCIENCE & EXPERIMENTATION
Reproducible forecasting, experiment analysis, uncertainty estimates, and visual explanations that connect data to practical decisions.
TOOLS: PANDAS, STATISTICS, NETWORKX, VISUALIZATION
3
OPEN SOURCE & SOFTWARE
Local-first applications, public-interest products, and developer tools with clear interfaces, accessible workflows, and documented trade-offs.
TOOLS: FASTAPI, REACT, TYPESCRIPT, DOCKER
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