About Experience Education Projects Skills Contact Resume
Rishi_Mule_Resume.pdf
Loading resume...

PDF preview isn't available on small screens. Use the buttons above to open or download the resume.

<code />
AI/ML
cloud
data
build
ship
Software Developer • ML Engineer

Rishi Mule.

Building scalable, intelligent systems at the intersection of software engineering and machine learning.

View Work Get in Touch
Scroll
Python Java JavaScript PyTorch TensorFlow AWS Azure Django Node.js React Docker MLOps Deep Learning CUDA Python Java JavaScript PyTorch TensorFlow AWS Azure Django Node.js React Docker MLOps Deep Learning CUDA

Crafting intelligent software.

Rishi Mule

Software Developer with 5+ years of experience building scalable solutions with Java, Python, and JavaScript. My focus has shifted toward AI and machine learning — from sentiment analysis with LSTM/Conv1D to a mini-implementation of OpenFold for protein structure prediction.

Currently completing my Master's in Computer Science at Northeastern University (4.0 GPA), with deep coursework in deep learning, unsupervised ML, and MLOps.

5+
Years Experience
4.0
GPA at NEU
1
Publication

Where I've worked.

Sept 2024 — Dec 2024
Thermobionics
Software Developer Intern
Boston, MA
Designed and implemented a desktop application for wireless PIC microcontroller communication, improving data transmission by 30%. Built serial communication tools for device initialization and data parsing, cutting manual configuration time by 40%. Performed high-volume sensor data analysis to optimize system performance.
June 2022 — Sept 2022
InfoInnotronics Eng. & Tech
Software Engineer Intern
Pune, India
Developed a real-time energy monitoring system using Python's serial library with 99% data accuracy. Streamlined hardware-software integration with cross-functional teams, achieving a 20% improvement in energy system efficiency.
Jan 2022 — Apr 2022
TCR Innovations
Data Science Intern
Mumbai, India
Built predictive models using ML algorithms on large datasets. Conducted exploratory data analysis for HR retention insights. Optimized Random Forest classifier accuracy to 94% through hyperparameter tuning.

Academic foundation.

M.S. Computer Science
Northeastern University
Sept 2023 — Dec 2025 • Boston, MA
GPA: 4.0 / 4.0
Deep Learning • MLOps • Unsupervised ML • Algorithms • Database Systems • Cloud Computing (AWS) • Program Design Paradigm
B.E. Computer Engineering
University of Mumbai
Aug 2019 — May 2023 • Mumbai, India
GPA: 9.7 / 10.0
Built a strong foundation in programming, algorithms, and system design. Key project: personalized tourism recommender system with chatbot, published in an international journal.

Things I've built.

OpenFold Protein Structure Prediction
Mini-implementation of OpenFold for protein structure prediction using PyTorch, CUDA, and NVIDIA tensor cores with GPU optimization.
PyTorchCUDADeep LearningGPU
Chess Agent
AI chess engine built with minimax algorithm and alpha-beta pruning, handling all game rules including special moves.
PythonAIMinimaxGame Engine
Sentiment Analysis — Movie Reviews
NLP pipeline using LSTM and Conv1D architectures on IMDb dataset for text sentiment classification with TensorFlow.
NLPTensorFlowLSTMConv1D
Tourism Recommender + Chatbot
Rule-based recommender system with Google Dialogflow chatbot, weighted scoring, and responsive UI — published in IJRASET.
DialogflowCloudWeb AppPublished
Neural Network From Scratch
Modular neural network implementation for MNIST digit recognition with custom forward/backpropagation, optimizers, and loss functions.
Neural NetMNISTFrom ScratchPython

Technical toolkit.

Languages
Python Java JavaScript TypeScript SQL C/C++
AI / ML
PyTorch TensorFlow CUDA Deep Learning NLP Computer Vision MLOps
Web & Frameworks
Django Node.js React REST APIs HTML/CSS
Cloud & DevOps
AWS Azure Docker Git CI/CD Google Cloud

Research work.

TRS – A Rule Based Personalized Tourism Recommender System
International Journal for Research in Applied Science & Engineering Technology (IJRASET) — Volume 10, Issue X
October 31, 2022
View Publication

Credentials.

Data Encryption using AWS KMS
UST via Coursera • Dec 2022
Google Cloud Fundamentals: Core Infrastructure
Google Cloud Skills Boost • Dec 2022
Database Operations in MariaDB Using Python
Infosys via Coursera • Nov 2022
Deep Learning with PyTorch: GAN
Coursera • Nov 2022
Getting Started with Azure DevOps Boards
Coursera • Nov 2022
Introduction to Big Data
UC San Diego via Coursera • Oct 2022

Let's connect.

Open to AI/ML opportunities, collaborations, and interesting conversations.