Hi, I’m Atharv Chandratre.

I'm a forward-thinking Software Engineer with a passion for solving challenging problems in collaborative environments.

I'm a Software Engineer II at DoorDash in San Francisco, building scalable distributed services and ML-enabled data pipelines. I hold an M.S. in Computer Science (Machine Learning) from UIUC—alongside experience at Goldman Sachs and an Amazon internship.

I am driven by the challenge of innovating in the tech landscape, and I am always eager to apply my expertise to new, groundbreaking projects.

About me

I am open to new opportunities for full-time positions as a software developer. Feel free to contact me if you have any!

I work on backend and data systems at DoorDash, building scalable distributed services and shipping reliable ML-enabled pipelines. I also hold an M.S. in Computer Science (Machine Learning) from UIUC. I enjoy applying ML where it improves real system decisions.

My favorite part of programming is the problem-solving aspect. I love the feeling of finally figuring out a solution to a problem. I am always looking to learn new technologies. I am also a tinkerer at heart. I try to create enjoyable solutions that automate life's boring parts.

In my free time, I play badminton, do origami and make latte art.

Education

Project I worked on

University of Illinois Urbana-Champaign

M.S. in Computer Science

Aug 2022 — May 2024

Specialization in Machine Learning

Project I worked on

Birla Institute of Technology and Science, Pilani

B.E. in Computer Science

Aug 2017 — Jun 2021

My experience

My projects

DoViz

Intervention-Centric Causal Inference Visualization

Jan 2024 — May 2024

Built DoViz, an interactive causal inference system that lets users simulate interventions, condition on confounders, and compare counterfactual scenarios with quantile-based visualizations. Built an end-to-end experimentation pipeline on AWS SageMaker for reproducible training, versioning, and deployment, and served low-latency real-time inference endpoints to power an interactive React client.

  • React
  • AWS SageMaker
  • PyTorch
  • Causal Inference

Generative Storywriter

LLMs & Illustration Synthesis

Aug 2023 — Dec 2023

Built a full-stack generative story application using GPT-3.5 for narrative generation and DALL-E for illustration synthesis. Implemented a backend pipeline that produces structured story outputs, splits them into page-level segments, launches parallel image generation jobs, and assembles the final storybook with response caching and structured logging across LLM API calls.

  • OpenAI API
  • DALL-E
  • Node.js

KeyClass

Weak Supervision for Clinical Text

Jan 2023 — May 2023

Implemented the KeyClass multi-label architecture for weakly supervised clinical note classification using only class descriptions. Built an end-to-end NLP data pipeline on MIMIC-III (ingestion, preprocessing, and construction of multi-label training datasets) and benchmarked model reproducibility under constrained compute resources.

  • PyTorch
  • NLP
  • MIMIC-III

Open Source Contributions

Contributed to AsyncAPI, OpenCollective, and Taiga UI. Multiple pull requests have been merged into the main branch. Wrote code to perform GitHub Actions integrations, End to End Testing, and enhancing front-end components.

  • GitHub Actions
  • TypeScript
  • YAML
  • Git
  • Cypress
  • Playwright
  • Selenium

Learn 2 Earn: Certificate Gated Job Application System

Built a website where a user can only apply to certain jobs if they possess the certificates required by the jobs. The job applications on the website are token-gated by the certificates, allowing users to only apply if owners of them.

  • React
  • Next.js
  • Solidity
  • Foundry
  • Hardhat
  • EthersJS
  • Metamask

Distributed Systems in Rust

Built a fault-tolerant key-value store based on a custom implementation of the Raft consensus algorithm in Rust.

  • Rust
  • Bash
  • Shell Scripting
  • Multithreading
  • Distributed Systems

Proof of Authority Ethereum TestNet Using Docker

Implementated a multi-node local private network. Built a faucet and block explorer as well, with the front-end written in React. Containerization was done using Docker.

  • Docker
  • Docker Compose
  • Ethereum
  • Solidity
  • React

Blockchain Based Raspberry Pi Mesh Network

Analyzed transaction and block propagation latencies within a private blockchain network of Raspberry Pis in a mesh configuration. Researched the correlation between these latencies and the number of Raspberry Pi nodes in the network.

  • Solidity
  • Docker
  • Wireshark
  • Raspberry Pi

Blockchain Based Intellectual Property Management

Developed an Intellectual Property Management system using blockchain-based smart contracts written in Solidity. Evaluated its ability to expedite resolution of ownership conflicts and legal issues that arise in Intellectual Property.

  • Solidity

Blockchain Based Course Feedback System

Designed a feedback system for University courses based on Solidity smart contracts deployed to Ethereum's test network. Assessed its ability to report immmutable, secure and bias-agnostic feedback by keeping feedback provider identities confidential.

  • React
  • Solidity

My skills

Languages

  • Python
  • Java
  • JavaScript
  • TypeScript
  • C++
  • C
  • SQL
  • Bash
  • Rust
  • Kotlin

Web & Frameworks

  • HTML
  • CSS
  • React
  • Next.js
  • GraphQL
  • Flask
  • Django
  • Node.js

Data & Databases

  • Kafka
  • MongoDB
  • MongoDB Atlas
  • CockroachDB
  • ElasticSearch
  • Snowflake
  • DynamoDB
  • Postgres

ML & AI

  • AWS SageMaker
  • PyTorch
  • Causal Inference
  • AI Agent Development

Cloud & DevOps

  • AWS
  • Azure
  • GCP
  • Lambda
  • Lex
  • Git
  • Docker
  • Jenkins
  • Kubernetes (K8s)
  • GitLab CI/CD
  • CI/CD
  • Linux

My Teaching Experience

Intro to Computer Science

CS 124: University of Illinois

Aug 2022 - May 2024

Teaching Assistant for CS 124: Introduction to Computer Science at the University of Illinois. Was a TA for four semesters.

Basics of Blockchain

Course Instructor at BlueLearn

May 2021 - Jun 2021

Designed and taught the Basics of Blockchain course two times to over 60 students across India.

Basics of Blockchain

Course Instructor at BlueLearn

Mar 2021 - Apr 2021

Had the highest student retention of any course on the platform and received overwhelmingly positive student feedback both times.

Intro to Blockchain

Course Instructor, BITS Pilani Goa

Aug 2020 - Dec 2020

Designed and taught this course twice to over 50 students. Demonstrated the highest student retention of any course in CTE, 2019.

Intro to Blockchain

Course Instructor, BITS Pilani Goa

Aug 2019 - Dec 2019

Designed the course to teach concepts about blockchains, like Basic Cryptography, Merkle Trees, how Bitcoin works under the hood, Consesus Mechanisms and Smart Contracts.

Object Oriented Programming

CS 213: BITS Pilani

Mar 2021 - Apr 2021

Designed the problem statements for the weekly 2-hour long OOP lab and contributed to examination answer-script correction. My performance was given a rating of 'Excellent'.

Contact me

Please contact me at atharvchandratre.jobs@gmail.com or through this form.