Isha Joshi

Software Engineer

Sunnyvale, California, United States2 yrs 11 mos experience

Key Highlights

Experienced in machine learning and deep learning applications.
Strong background in software development across major tech companies.
Proven ability to develop innovative solutions in real-time systems.

Stackforce AI infers this person is a Machine Learning Engineer with strong software development skills in tech and security domains.

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Skills

Core Skills

Machine LearningDeep LearningPython

Other Skills

Text ClassificationComparative AnalysisFace RecognitionSpeaker RecognitionRNNsObject RecognitionMachine Learning AlgorithmsFull-Stack DevelopmentC++Python (Programming Language)JavaNode.jsJavaScriptTensorFlowC (Programming Language)

Experience

2 yrs 11 mos

Total Experience

1 yr 7 mos

Average Tenure

1 yr 4 mos

Current Experience

Amazon web services (aws)

Software Development Engineer

Jan 2025 – Present · 1 yr 4 mos · Palo Alto, California, United States · On-site

Bloomberg

Software Engineer

Jun 2023 – Jan 2025 · 1 yr 7 mos · New York City Metropolitan Area · On-site

The university of texas at austin

2 roles

Graduate Teaching Assistant

Sep 2022 – May 2023 · 8 mos · Austin, Texas, United States

Graduate Teaching Assistant

Sep 2021 – May 2022 · 8 mos · Austin, Texas, United States

L3cube

Project Intern

Jul 2020 – May 2021 · 10 mos · Pune Division, Maharashtra, India

Exploring the effectiveness of HAN (Hierarchical Attention Networks) on long documents
Studied the existing text classification approaches and experimented with different datasets
Comparitive analysis of various deep learning models on a COVID-19 fake news dataset

Machine LearningDeep LearningText ClassificationComparative Analysis

Cdac

Machine Learning Intern

Feb 2020 – May 2020 · 3 mos · Pune, Maharashtra, India

Developed a real-time video surveillance system as a desktop application using Python package tkinter
Monitored various camera outputs using a face recognition system
Developed a speaker recognition system for live-streaming audio inputs
Generated speaker embeddings and classified using RNNs

PythonFace RecognitionSpeaker RecognitionRNNsMachine Learning

Vem tooling

Intern

Sep 2019 – May 2020 · 8 mos · Pune Division, Maharashtra, India

Developed a system for object recognition and dimensioning for 2-D engineering drawings
Used different machine learning algorithms for generating FAIR (First Article Inspection Report)
Software successfully deployed in company’s system

Machine LearningObject Recognition