Hi! I'm Divit Vasu

SOFTWARE ENGINEER | AI/ML ENTHUSIAST

  • Address Boston, MA, USA
  • E-mail divitvasu@gmail.com
  • Phone +1 (925) 418-9981
  • Languages English, Hindi, Gujarati, Sindhi
  • My Research Access Research Paper
    MRI Segmentation of Musculoskeletal Components Using U-Net: Preliminary Results | Divit Vasu, Seungmoon Song, Hans Kainz, Jeongkyu Lee | ICBBB '24

Download Resume

Diving deep into the heart of Software Engineering and riding the waves of Data Science and Machine Learning, I am fluent in the languages of Python, Java, Ruby, R, and the art of Android development. I wear multiple hats – from Linux and Windows Server System Administration to architecting and coding software solutions, and mastering Machine Learning. Embellishing my tech journey with a B.Tech in Computer Science and Engineering, I went the extra mile diving into Big Data, Data Science and capped it off with an MS in Computer Science from Northeastern University. On the hunt for the next big challenge in Backend Engineering, Android Engineering, Data Engineering, or Machine Learning. Ready to make an impact and to evolve in the vast and ever-expanding universe of tech!

Forever Curious. Forever Growing.

Technical Skills

Languages


Python, Java, Ruby, R, C++, C, JavaScript

Operating Systems


Linux, Windows, Windows Server, MacOS, Raspbian

Databases


MySQL, Postgres, SQLite, Firebase, MongoDB, Elasticsearch-Logstash-Kibana Stack, Redis, Hive, HBase

Machine Learning


NLTK, OpenCV, Matplotlib, SKLearn, Pandas, NumPy, Keras, Tensorflow, Seaborn

Tools


AWS, RabbitMQ, Sidekiq, Kafka, Databricks, Airflow

Web Technologies


HTML, CSS, XML, XPATH

Frameworks


Rails, Django, Flask, Spring, Hadoop, React, RxJava, Retrofit

DevOps


Git, Docker, Jenkins, Kubernetes, Nagios, Datadog, Rollbar

Testing Frameworks


Pytest, Rspec, JUnit, JMeter

System Administration


Cacti, Spiceworks, Microsoft SCCM

Virtualization


Hyper-V, KVM-QEMU

Data Analysis


Tableau, WEKA, PowerBI

Equipped with multifaceted skillsets honed through diverse projects and rigorous academic pursuits.

Soft Skills

Effective Communication
Problem-Solving & Critical Thinking
Adaptability & Flexibility
Teamwork & Collaboration
Ownership & Influence
Time Management & Organization

Education

JAN 2021 – MAY 2023

Master of Science in Computer Science

Candidate for Master’s in Computer Science with overall GPA of 3.91/4.00

Northeastern University, Khoury College of Computer Sciences, USA

Courses Taken:
Algorithms, Natural Language Processing, Machine Learning, Scalable Distributed Systems, Cloud Computing, Database Management Systems, Mobile Development, Programming Design Paradigm

JUL 2016 – MAY 2020

Bachelor of Technology in Computer Science Engineering

Candidate for Bachelor of Engineering in Technology with overall GPA of 8.72/10.00 (Minor in Big Data)

Ganpat University, UVPCE, India

Courses Taken:
Basics of Electrical Engineering, Digital Electronics, C Programming, Web Development, Basics of Communication Systems, Computer Organization, Linux Shell Scripting, C++ Programming, Engineering Mathematics, Databases, Data Structures, Object Oriented (Java) Programming, Functional (Python) Programming, Operating Systems, Microprocessors and Microcontrollers, Probability and Statistics, Algorithmic Analysis and Design, Business Intelligence, Computer Networks, Data Science and Modelling, R Programming, Software Engineering, Artificial Intelligence, Big Data Analytics, Data Warehousing and Mining, Entrepreneurship, CyberSecurity, Theory of Computation, Advanced Big Data Analytics, Cognitive Computing, Cloud Computing, Compiler Design, Machine Learning

Industry Certifications

1

AWS

Certified Solutions Architect - Associate [SAA-C03]

2

Red Hat

System Administrator [EX200] | Enterprise Virtualization [EX318]

1

NPTEL

Data Mining - Indian Institute of Technology [IIT Kharagpur]

2

IBM

Big Data Mastery Award | AI Analyst Mastery Award

Professional Experience

SEP 2024 - Present

Software Engineer

Lenbuzz, Boston, USA

Collaborating on the Borrower Experience Team to enhance user satisfaction by designing and implementing robust backend features. Focused on maintaining and scaling communication flows and optimizing payments infrastructure to ensure seamless, compliant, secure, and efficient transaction processes, thereby improving the overall borrower journey.

JUL 2023 - JUN 2024

Software Engineer

Miles, Bay Area, USA

Worked on critical product and backend features for the Miles rewards app, enhancing the user experience for 4 million users. Managed extensive data engineering tasks and handled data contracts valued at $1 million annually. Actively involved in presenting metrics during monthly business reviews. Also managed AWS infrastructure and scaled operations into three new international geographies, ensuring robust global service capabilities.

FEB 2023 – AUG 2023

Graduate Research Assistant

Khoury College of Computer Sciences, Bay Area, USA

Conducted advanced research on MRI image segmentation using CNN architectures, significantly enhancing model accuracy for musculoskeletal simulations. Collaborated on integrating AI models with visualization tools to improve training data preparation.

FEB 2023 – APR 2023

Graduate Teaching Assistant

Khoury College of Computer Sciences, Bay Area, USA

Managed TA duties for Cloud Computing, responsibilities included doubt-solving, mentoring and supporting students academically.

SEP 2022 – DEC 2022

Software Engineer Intern

Binary Works IO, Bay Area, USA

Contributed to the development of a mobile app for e-publication, integrating features such as in-app purchases and advanced user profile management. Enhanced app security and user experience through effective backend solutions and user-friendly design.

JAN 2022 – APR 2022

Software Engineer Intern

Miles, Bay Area, USA

Developed internal tools and APIs to improve administrative efficiencies and customer service operations. Implemented many of the app’s critical features end-to-end, boosting user engagement, retention, and revenue.

MAY 2021 – DEC 2021

Graduate Teaching Assistant

Khoury College of Computer Sciences, Bay Area, USA

Served as a TA for the graduate-level subject of Algorithms, key responsibilities included, grading homework assignments and exams, conducting weekly doubt-solving sessions, mentoring, and lending academic, moral support to the students.

APR 2020 – JAN 2021

Software Engineer

Capri Technosys, Ahmedabad, India

Designed and implemented a government document digitization project, improving accessibility and efficiency. Developed a robust data processing pipeline using AWS technologies, significantly enhancing data retrieval capabilities.

DEC 2019 – APR 2020

Machine Learning Engineer Intern

Dev Information Technology, Ahmedabad, India

Built and refined a financial domain chatbot, improving its ability to handle complex user interactions. Spearheaded efforts to optimize NLU components, achieving significant enhancements in chatbot performance.

MAR 2018 – MAY 2018

Systems Engineer Intern

Dev Information Technology, Ahmedabad, India

Managed the setup of a custom NAS solution and was instrumental in the deployment and maintenance of server infrastructures. Streamlined network operations and system integrations, ensuring high reliability and efficiency.

Noteworthy Projects

Transcript Mailing System

Projects

Transcript Mailing System

Projects

Project
Transcript Mailing System
Tech Stack
Python (xlrd, easygui, pdfkit, smtplib), MS Excel

Developed a GUI-based utility to automate the generation of formatted transcripts from subject scores stored in Excel files alongside an e-mailing system to facilitate the delivery of the results to the appropriate student/guardian, tested the same to process the results for a batch of 150 students, at once, without any

Prediction of Alzheimer’s/Dementia

Projects

Prediction of Alzheimer’s/Dementia

Projects

Project
Prediction of Alzheimer’s/Dementia
Tech Stack
Datasets from Kaggle and OASIS Research Community, Colab, Python (nilearn, SimpleITK)

Researched upon predicting patients at a higher risk of dementia by applying Decision Tree modeling, XGBoost, Logistic regression, and SVM on datasets, relating the findings to actual MRI inferences, exploring neuroimaging, and plotting libraries.

Healthcare Assistant

Projects

Healthcare Assistant

Projects

Project
Healthcare Assistant
Tech Stack
RASA, Python, Twilio, WhatsApp, Ngrok, Infermedica, Google Maps API, SQLite

Engineered a chat bot in RASA that interacted in natural language and gathered a set of symptoms from the user and, using an API from Infermedica, provided a diagnosis, along with a list of relevant doctors sorted by ratings, nearby hospitals and pharmacies, with an overall confidence of 92-95% in

Get in Touch

Let's Connect

  • E-mail divitvasu@gmail.com
  • Phone +1 (925) 418-9981
  • Address Boston, MA, USA