Tanay Godse

Bellevue, WA | +1 (408) 393-8414 | tanaygodse@gmail.com

Currently based in Bellevue, Washington. Studying many interesting topics in Computer Science as a graduate student.
I worked for 2 years as a full stack developer before I decided to pursue my masters degree.
I believe I am a good problem solver and can come up with simple solutions to complex problems.
I am a quick learner and love learning about new technologies.
I am actively looking for exciting opportunities and expand my professional network.
Feel free to connect with me!

Education

San Jose State University

Master of Science
Computer Science

GPA: 3.74/4

Relevant Courses:
Fall 2023:
CS 200W - Graduate Technical Writing
CS 256 - Topics in Artificial Intelligence (Introduction to Artificial Intelligence)
CS 267 - Topics in Database Systems (Big Data Analytics with Machine Learning)
Spring 2024:
CS 252 - Advanced Programming Language Principles
CS 262 - Randomized Algorithms and Applications
CS 276 - Machine Learning on Graphs
Fall 2024: CS 157C - NoSQL Database Systems CS 249 - Distributed Computing CS 268 - Topics in Wireless Mobile Networking

August 2023 - May 2025

University of Mumbai

Bachelor of Engineering
Computer Engineering

GPA: 8.87/10

August 2017 - June 2021

Professional Experience

Software Development Engineer

Amazon

QuBIT team

September 2025 - Present

AI Software Engineer Intern

Fetch.AI

• Used frameworks like LangChain, LangGraph, CrewAI and leading LLMs (OpenAI, Gemini) to develop AI agents
• Designed and implemented interactive chat interfaces using React and TypeScript
• Developed a comprehensive dashboard to monitor AI agent performance and track key usage metrics

August 2024 - September 2025

Software Engineer Intern

Moody's

• Designed a priority-based distributed job scheduler framework to improve resource utilization
• Developed RESTful APIs using FastAPI for the job distributor and worker components for job scheduling
• Utilized PostgreSQL and SQLAlchemy ORM to implement a heartbeat mechanism for failure detection and recovery
• Upgraded an internal tool leveraging Celery and Redis, significantly improving its performance and security

June 2024 - August 2024

Software Developer

Depronto Infotech

• Planned and implemented client requirements for a project management application used by over 5000 employees
• Developed various modules like monthly reporting, discussion boards, auto-mailers and cronjobs for daily user sync
• Optimized existing queries and stored procedures by evaluating query execution plans and using indexes effectively
• Implemented server-side pagination improving application load times by up to 50%
• Maintained a Content Management System built using ASP.NET and C# managing 1000s of articles

July 2021 - July 2023

Software Engineer Intern

Atos Syntel

• Scraped data using beautifulsoup and performed sentiment analysis using textblob for over 2000 staff reviews
• Created multiple insightful dashboards for data visualization using SAP Analytics Cloud

May 2020 - July 2020

Software Engineer Intern

NeuroByte Ventures

• Scraped Bombay Stock Exchange (BSE) announcements using Selenium Web Driver for over 100 companies
• Implemented OCR and NLP techniques to extract and store data from PDFs in MySQL Database

June 2019 - August 2019

Projects

JavaScript with Object Capabilities

Java, JUnit, ANTLR, Makefile

Project link
• Wrote an interpreter for JavaScript with Object Capabilities using Java
• Wrote parsing rules in ANTLR, unit tests for all the expressions using JUnit and used a Makefile to automate builds

Financial Fraud Detection using Semi-supervised GNN

Python, PyTorch, PyTorch-Geometric, Sklearn

• Utilized PyTorch and PyTorch-Geometric in Python to perform Financial Fraud Detection using Semi-supervised GNN
• Evaluated ROC and AUC of various approaches such as GearSAGE, GNN, GCN, etc. by using sklearn

AI Note Taking Application

HTML, CSS, TypeScript, NodeJS, React, MongoDB, Express, Python, Flask, HuggingFace, PyTorch

• Developed a note taking application that accepts PDF files as input
• Evaluated several approaches for autocomplete such as LSTM, RNN and Transformers using PyTorch
• Added smart features like autocomplete using TextRank and Trie, and text summarization using DistilBERT from HuggingFace
• Used React, react-pdf-highlighter and TypeScript for the front-end, Node and Express for Backend, Flask to create APIs for summarization and completion and MongoDB to store the notes taken

GloomPD

Python, Flask, Java, Android Studio, scikit-learn

• Designed and developed an android application using Java and Android Studio
• Data processing using python, compared and evaluated various models using the scikit-learn library, achieved an accuracy of 82%
• Developed an API using Flask to integrate the trained machine learning model into the Android application

RFID Door Lock

C++, Arduino

• Implemented the code for data manipulation of information on RFID tags and performed security checks in C++
• Built the system using an Arduino UNO and an electromagnetic solenoid for the lock

Pineapple Computers

HTML, CSS, PHP, MySQL

• Developed an e-commerce website for selling printers and printing supplies having over 100 products stored in MySQL.
• Created the product listing page, display page & Add to Cart backend functionality using HTML, CSS, JavaScript and PHP.

Trifecta

Python, pygame

• Designed and developed a 3-in-1 game for Chess, Rock-Paper-Scissors and Whack-a-mole using python and pygame.

Skills

Programming Languages & Tools


Interests

Current Technical Interests
  • Rust(Programming Language)
  • Go(Programming Language)
  • Redis
  • Docker
  • Kubernetes
  • Artificial Intelligence and Machine Learning Frameworks(PyTorch/Tensorflow)
  • Large Language Models(LLM)


Other Interests

Apart from being a graduate student and software developer, I enjoy playing video games and listening to music. I love travelling and trying out new cuisine.

Resume