Gaurang Mangla.
I build intelligent systems for the web and beyond. I'm passionate about machine learning and software engineering, and I love turning ambitious, real-world problems into products people can actually use.
Who I am
I care about the full journey from raw data to a finished product — not just building models, but shipping things people can actually use.
I'm a Computer Engineering student at Thapar Institute of Engineering and Technology with an interest in deep learning, generative AI, and building data-driven products that people can actually use.
My other interests include playing sports, traveling, and exploring new technology.
What I do
Agentic AI & LLM systems
Multi-node LangGraph pipelines orchestrating search, retrieval, and generation into one coherent product.
Applied ML & deep learning
From CatBoost and Scikit-learn to LSTM/GRU/CNN-LSTM architectures — optimized for the metric that actually matters.
Data engineering
Sourcing, cleaning, and pipelining data end-to-end — building the datasets that make a model possible when public ones don't exist, like 8 years of self-scraped AQI data.
Data analysis & experimentation
Statistical modeling, hypothesis testing, and exploratory analysis to figure out what's actually driving the numbers before I build anything.
Product & business translation
Turning ambiguous business requirements into concrete, implementation-ready specs, wireframes, and workflows.
Database & systems design
Normalized relational schemas, stored procedures, and triggers that enforce integrity at the data layer.
Where I've worked
McKinsey & Company
- Drove product definition for an enterprise Generative AI platform built on Model Context Protocol (MCP), enabling natural-language access to governed enterprise data and eliminating manual dashboard navigation.
- Translated business requirements into implementation-ready specifications across Product, Business Analysis, and UX teams, authoring functional documents, use cases, and user workflows.
- Designed wireframes and prototypes to validate user flows, delivering documentation that enabled engineering to estimate effort and execute the product roadmap.
Tech I work with
Languages
AI / Machine Learning
Coursework
Beyond the Code
Things I've built
Click any card for the full write-up.
Foundations
Thapar Institute of Engineering and Technology
Patiala, India
Amity International School
Gurugram, India
Continued learning
Machine Learning Specialization
Supervised learning, deep neural networks (TensorFlow), and reinforcement learning.
Fundamentals of Deep Learning
Neural network fundamentals, model training, and deep learning applications.
Let's build something.
Open to conversations about AI products, data-driven decision-making, and building things that ship.