Hi, I'm Aditya Thaker

Hi, I'm Aditya Thaker

FULLSTACK Software

FULLSTACK Software

& AI Developer

& AI Developer

Boulder, CO

Full-stack speed. Scalable software. Smarter AI.

WHO I AM

WHO I AM

WHO I AM

WHO I AM

Specializing in scalable systems, backend, cloud infrastructure, and automation. Passionate about optimizing performance, deploying distributed applications, and creating intelligent solutions that drive innovation and efficiency.

WHERE I'VE WORKED

WHERE I'VE WORKED

WHERE I'VE WORKED

WHERE I'VE WORKED

June 2021 - August 2021

Mathrithms

Backend Development Intern

I optimized a high-traffic food ordering platform’s database, boosting query performance by 30% with PostgreSQL indexing. I built an algorithmic stock trader that doubled execution speed and deployed CI/CD pipelines for seamless updates, scalability, and high availability, ensuring efficient, high-performance systems for clients.

June 2021 - August 2021

Mathrithms

Backend Development Intern

I optimized a high-traffic food ordering platform’s database, boosting query performance by 30% with PostgreSQL indexing. I built an algorithmic stock trader that doubled execution speed and deployed CI/CD pipelines for seamless updates, scalability, and high availability, ensuring efficient, high-performance systems for clients.

June 2021 - August 2021

Mathrithms

Backend Development Intern

I optimized a high-traffic food ordering platform’s database, boosting query performance by 30% with PostgreSQL indexing. I built an algorithmic stock trader that doubled execution speed and deployed CI/CD pipelines for seamless updates, scalability, and high availability, ensuring efficient, high-performance systems for clients.

June 2021 - August 2021

Mathrithms

Backend Development Intern

I optimized a high-traffic food ordering platform’s database, boosting query performance by 30% with PostgreSQL indexing. I built an algorithmic stock trader that doubled execution speed and deployed CI/CD pipelines for seamless updates, scalability, and high availability, ensuring efficient, high-performance systems for clients.

November 2021 - June 2022

Indian Institute of Technology, Patna

ML Research Intern

I designed a cryptocurrency analytics pipeline to detect fraudulent users and improve data retrieval efficiency. I developed a graph ML model for phishing user classification, trained on Ethereum data, achieving a 98% F-score. Additionally, I conceptualized ego graphs to convert transactions into temporal transactions, accelerating training time by 20%, enhancing model efficiency and performance.

November 2021 - June 2022

Indian Institute of Technology, Patna

ML Research Intern

I designed a cryptocurrency analytics pipeline to detect fraudulent users and improve data retrieval efficiency. I developed a graph ML model for phishing user classification, trained on Ethereum data, achieving a 98% F-score. Additionally, I conceptualized ego graphs to convert transactions into temporal transactions, accelerating training time by 20%, enhancing model efficiency and performance.

November 2021 - June 2022

Indian Institute of Technology, Patna

ML Research Intern

I designed a cryptocurrency analytics pipeline to detect fraudulent users and improve data retrieval efficiency. I developed a graph ML model for phishing user classification, trained on Ethereum data, achieving a 98% F-score. Additionally, I conceptualized ego graphs to convert transactions into temporal transactions, accelerating training time by 20%, enhancing model efficiency and performance.

November 2021 - June 2022

Indian Institute of Technology, Patna

UI / UX Designer

I designed a cryptocurrency analytics pipeline to detect fraudulent users and improve data retrieval efficiency. I developed a graph ML model for phishing user classification, trained on Ethereum data, achieving a 98% F-score. Additionally, I conceptualized ego graphs to convert transactions into temporal transactions, accelerating training time by 20%, enhancing model efficiency and performance.

June 2022 - June 2023

University of Mumbai, India

Fullstack Web Developer

I led the end-to-end development of a MERN web app to automate exam duty assignments for 100+ examiners across 8 departments. I configured and deployed the application, integrated Stripe for payments, and automated email notifications, significantly reducing manual work and streamlining the exam management process for enhanced efficiency.

June 2022 - June 2023

University of Mumbai, India

Fullstack Web Developer

I led the end-to-end development of a MERN web app to automate exam duty assignments for 100+ examiners across 8 departments. I configured and deployed the application, integrated Stripe for payments, and automated email notifications, significantly reducing manual work and streamlining the exam management process for enhanced efficiency.

June 2022 - June 2023

University of Mumbai, India

Fullstack Web Developer

I led the end-to-end development of a MERN web app to automate exam duty assignments for 100+ examiners across 8 departments. I configured and deployed the application, integrated Stripe for payments, and automated email notifications, significantly reducing manual work and streamlining the exam management process for enhanced efficiency.

June 2022 - June 2023

University of Mumbai, India

Fullstack Web Developer

I led the end-to-end development of a MERN web app to automate exam duty assignments for 100+ examiners across 8 departments. I configured and deployed the application, integrated Stripe for payments, and automated email notifications, significantly reducing manual work and streamlining the exam management process for enhanced efficiency.

June 2022 - June 2023

SimPPL

Fullstack Developer

I optimized analytics visualizations using virtual DOM updates and Canvas rendering, reducing load times by 25%. I built a dynamic analytics dashboard to track user engagement with news articles, integrating real-time trend analysis. Additionally, I enhanced the REST API with Django and optimized PostgreSQL schemas, improving response times by 28%.

June 2022 - June 2023

SimPPL

Fullstack Developer

I optimized analytics visualizations using virtual DOM updates and Canvas rendering, reducing load times by 25%. I built a dynamic analytics dashboard to track user engagement with news articles, integrating real-time trend analysis. Additionally, I enhanced the REST API with Django and optimized PostgreSQL schemas, improving response times by 28%.

June 2022 - June 2023

SimPPL

Fullstack Developer

I optimized analytics visualizations using virtual DOM updates and Canvas rendering, reducing load times by 25%. I built a dynamic analytics dashboard to track user engagement with news articles, integrating real-time trend analysis. Additionally, I enhanced the REST API with Django and optimized PostgreSQL schemas, improving response times by 28%.

June 2022 - June 2023

SimPPL

Fullstack Developer

I optimized analytics visualizations using virtual DOM updates and Canvas rendering, reducing load times by 25%. I built a dynamic analytics dashboard to track user engagement with news articles, integrating real-time trend analysis. Additionally, I enhanced the REST API with Django and optimized PostgreSQL schemas, improving response times by 28%.

May 2024 - Present

University of Colorado, Boulder

Graduate Researcher

I engineered a high-performance video conferencing server, reducing packet processing latency by 35%. By leveraging XDP for packet filtering, I achieved a 50% reduction in processing time for incoming packets. Additionally, I implemented dynamic traffic routing for user streams, resulting in a 35% improvement in overall latency and enhanced performance.

May 2024 - Present

University of Colorado, Boulder

Graduate Researcher

I engineered a high-performance video conferencing server, reducing packet processing latency by 35%. By leveraging XDP for packet filtering, I achieved a 50% reduction in processing time for incoming packets. Additionally, I implemented dynamic traffic routing for user streams, resulting in a 35% improvement in overall latency and enhanced performance.

May 2024 - Present

University of Colorado, Boulder

Graduate Researcher

I engineered a high-performance video conferencing server, reducing packet processing latency by 35%. By leveraging XDP for packet filtering, I achieved a 50% reduction in processing time for incoming packets. Additionally, I implemented dynamic traffic routing for user streams, resulting in a 35% improvement in overall latency and enhanced performance.

May 2024 - Present

University of Colorado, Boulder

Graduate Researcher

I engineered a high-performance video conferencing server, reducing packet processing latency by 35%. By leveraging XDP for packet filtering, I achieved a 50% reduction in processing time for incoming packets. Additionally, I implemented dynamic traffic routing for user streams, resulting in a 35% improvement in overall latency and enhanced performance.

April 2024 - Present

University of Colorado, Boulder

Course Facilitator & Teaching Assistant

As the sole point of contact for CU Boulder’s Dynamic Programming and Greedy Algorithms course on Coursera, I supported 120+ students, conducted office hours, and collaborated with Course Facilitators to improve the program by automating grade verification and content management. I also served as a TA for the Introductory Computing Course, teaching 50 students C++ fundamentals, memory management, object-oriented programming, and debugging, enhancing their understanding through both theory and hands-on support.

April 2024 - Present

University of Colorado, Boulder

Course Facilitator & Teaching Assistant

As the sole point of contact for CU Boulder’s Dynamic Programming and Greedy Algorithms course on Coursera, I supported 120+ students, conducted office hours, and collaborated with Course Facilitators to improve the program by automating grade verification and content management. I also served as a TA for the Introductory Computing Course, teaching 50 students C++ fundamentals, memory management, object-oriented programming, and debugging, enhancing their understanding through both theory and hands-on support.

April 2024 - Present

University of Colorado, Boulder

Course Facilitator & Teaching Assistant

As the sole point of contact for CU Boulder’s Dynamic Programming and Greedy Algorithms course on Coursera, I supported 120+ students, conducted office hours, and collaborated with Course Facilitators to improve the program by automating grade verification and content management. I also served as a TA for the Introductory Computing Course, teaching 50 students C++ fundamentals, memory management, object-oriented programming, and debugging, enhancing their understanding through both theory and hands-on support.

April 2024 - Present

University of Colorado, Boulder

Course Facilitator & Teaching Assistant

As the sole point of contact for CU Boulder’s Dynamic Programming and Greedy Algorithms course on Coursera, I supported 120+ students, conducted office hours, and collaborated with Course Facilitators to improve the program by automating grade verification and content management. I also served as a TA for the Introductory Computing Course, teaching 50 students C++ fundamentals, memory management, object-oriented programming, and debugging, enhancing their understanding through both theory and hands-on support.

Projects

WHAT I'VE DONE

SKills

WHAT I'VE USED

LANGUAGES

C/C++

Python

Golang

JavaScript/TypeScript

Bash

HTML/CSS

LANGUAGES

C/C++

Python

Golang

JavaScript/TypeScript

Bash

HTML/CSS

LANGUAGES

C/C++

Python

Golang

JavaScript/TypeScript

Bash

HTML/CSS

LANGUAGES

C/C++

Python

Golang

JavaScript/TypeScript

Bash

HTML/CSS

WEB DEVELOPMENT

Node.js

Next.js

Django

Flask

React.js

SEO

WEB DEVELOPMENT

Node.js

Next.js

Django

Flask

React.js

SEO

WEB DEVELOPMENT

Node.js

Next.js

Django

Flask

React.js

SEO

WEB DEVELOPMENT

Node.js

Next.js

Django

Flask

React.js

SEO

AI & ML

PyTorch

Tensorflow

LangChain & LangGraph

numpy & pandas

matplotlib & seaborn

scikit-learn

AI & ML

PyTorch

Tensorflow

LangChain & LangGraph

numpy & pandas

matplotlib & seaborn

scikit-learn

AI & ML

PyTorch

Tensorflow

LangChain & LangGraph

numpy & pandas

matplotlib & seaborn

scikit-learn

AI & ML

PyTorch

Tensorflow

LangChain & LangGraph

numpy & pandas

matplotlib & seaborn

scikit-learn

DevOps

AWS/GCP

Linux

Ansible

nginx & Apache Server

Docker & Kubernetes

GitHub Actions

DevOps

AWS/GCP

Linux

Ansible

nginx & Apache Server

Docker & Kubernetes

GitHub Actions

DevOps

AWS/GCP

Linux

Ansible

nginx & Apache Server

Docker & Kubernetes

GitHub Actions

DevOps

AWS/GCP

Linux

Ansible

nginx & Apache Server

Docker & Kubernetes

GitHub Actions

Data

Redis

SQL - Postgres, MySQL

MongoDB

Kafka

PySpark

Pinecone

Data

Redis

SQL - Postgres, MySQL

MongoDB

Kafka

PySpark

Pinecone

Data

Redis

SQL - Postgres, MySQL

MongoDB

Kafka

PySpark

Pinecone

Data

Redis

SQL - Postgres, MySQL

MongoDB

Kafka

PySpark

Pinecone