Jyoti Saroha

Software Engineer

India8 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

5+ years of software development experience.
Expertise in Java and AWS technologies.
Strong mentoring background in youth organizations.

Stackforce AI infers this person is a Software Engineer with expertise in cloud technologies and software development.

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Skills

Core Skills

Software DevelopmentSystem DesignMentoringAwsNatural Language Processing

Other Skills

Youth OrganizationsJavaAgileSupport Vector MachinesMicroservicesMicrosoft AzureScalaC++Software Development Life Cycle (SDLC)Data Structures

About

5+ years of experience in Software Development. Experienced Software Engineer with a demonstrated history of working in the internet industry. Skilled in Java, Algorithms, Software Development, System Design, SQL, and AWS (Amazon Web Services). Strong engineering professional with a Master's degree focused in Computer Science from IIIT, Delhi.

Experience

8 yrs 7 mos

Total Experience

2 yrs 10 mos

Average Tenure

3 yrs 11 mos

Current Experience

Technovation

Youth Mentor

Dec 2023 – May 2024 · 5 mos · Remote

MentoringYouth Organizations

Adobe

Computer Scientist

May 2022 – Present · 3 yrs 11 mos

Software DevelopmentSystem Design

Amazon

Software Development Engineer

Jan 2019 – Apr 2022 · 3 yrs 3 mos

1. Apply knowledge of technology options, technology platforms, and design techniques and approaches to design an integrated solution to address business requirements.
2. Produce quality, innovative, debuggable, testable and maintainable code in Java.
3. Work in an Agile/Scrum environment to deliver high quality software against tight schedules.
4. Use AWS technologies in software design.

JavaAWSAgileSoftware Development

Indraprastha institute of information technology, delhi

Teaching Assistant

Jul 2017 – Dec 2018 · 1 yr 5 mos

Data Structures and Algorithms
System Management
Computer Organisation

Learnitgirl

Mentor

Feb 2016 – May 2016 · 3 mos

A mentor-ship program for women around the globe.

Indraprastha institute of information technology, delhi

Research Intern

Jun 2015 – Aug 2015 · 2 mos

Project:
Spectro–Temporal Analysis of Scream Sounds MFCCs and Support Vector Machines (SVMs) used for feature based scream classification. Spectro-temporal modulation is exploited for scream and cry audio analysis. Rate-Scale features are implemented for gender classification.