Hi, I'm

Daksh Malhotra

Building software that thinks: full-stack, data, and ML systems that learn from inputs.

Bachelor of Engineering (Software Engineering) · Monash University

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Focus Areas

Where I concentrate my craft: ML systems, data pipelines, and full-stack products.

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ML / AI

Model training, evaluation, and deployment. Computer vision, NLP, and reinforcement learning.

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Data Analytics

ETL, feature engineering, and insights from large-scale data. SQL, Spark, Databricks.

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Full-Stack Engineering

End-to-end web and mobile apps. React, Next.js, FastAPI, and scalable backend design.

Bio

I'm interested in building software that thinks, systems that don't just process inputs but learn from them. My work spans full-stack development, data analysis, and machine learning, combining engineering principles with intelligent decision-making. I enjoy moving between building scalable applications and exploring AI concepts. My goal is to bridge strong software engineering with data-driven intelligence to create practical and impactful technology.

Toolbox

Technologies I use across projects and roles.

PythonJavaScriptTypeScriptSQLMATLABJavaBashReactNext.jsTailwindFastAPIReact NativeJava SwingPyTorchscikit-learnXGBoostNumPyReinforcement LearningApache SparkDatabricksMongoDBPostgreSQLDockerGemini APIView all →

Experience

Roles and impact: what I shipped.

Machine Learning Intern

Jan 2026 – Present

Monash AI Institute

  • ·Large-scale EDA using SQL and PySpark in Azure Databricks Lakehouse
  • ·Engineered predictive features from LMS and assessment data
  • ·Built ensemble ML models (XGBoost, Gradient Boosting)
  • ·Applied cross-validation and hyperparameter tuning
  • ·Designed early-warning system for academic risk detection
PythonSQLApache SparkDatabricksXGBoost

Software Lead & Co-Founder

Jan 2025 – Present

Stampd

  • ·Led backend architecture
  • ·Integrated API + database + frontend
  • ·Managed startup sprint coordination
  • ·Presented technical plans to stakeholders
ReactNext.jsMongoDBDockerLeadership & Communication

Machine Learning Engineer

Aug 2025 – Present

Monash Deep Neuron

  • ·Built surgical RL simulation environment
  • ·Coordinated modelling + simulation setup
  • ·Translated clinical insights to technical specs
PythonPyTorchReinforcement Learning

Events Officer

Jan 2025 – Aug 2025

Monash Data & AI Society

  • ·Organized technical workshops
  • ·Led event promotion & logistics
Leadership & Communication

Education

Bachelor of Engineering (Software Engineering)

Monash University

July 2023 – June 2027 · GPA 3.5