Isha Tyagi

Software Engineer

Gurugram, Haryana, India4 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Experienced in both front-end and back-end development.
Strong foundation in software testing and Agile methodologies.
Proficient in architectural design and user experience mapping.

Stackforce AI infers this person is a Fullstack Software Engineer with expertise in Fintech and SaaS.

Contact

Skills

Core Skills

Spring FrameworkJavaSpring Boot

Other Skills

HTMLDockerSQLSpring MVCObject-Oriented Programming (OOP)MockupsFigma (Software)Customer Journey MappingJestCode ReviewNode.jsSoftware TestingArgoCDKubernetesJavaScript

About

👋 Hello! I’m a passionate Software Engineer with experience in both front-end and back-end development. My journey in the tech industry has been marked by continuous growth, an increasing love for coding, and an unending fascination with the immense possibilities of technology.

Experience

4 yrs 11 mos

Total Experience

1 yr 7 mos

Average Tenure

2 yrs

Current Experience

The d. e. shaw group

2 roles

Senior Member Technical

Promoted

Dec 2024 – Present · 1 yr 5 mos · Gurugram, Haryana, India · On-site

Member Technical

May 2024 – Dec 2024 · 7 mos · Gurugram, Haryana, India · On-site

Goldman sachs

3 roles

Software Engineer

Promoted

Jul 2022 – May 2024 · 1 yr 10 mos

Spring FrameworkHTMLDockerSQLSpring MVCObject-Oriented Programming (OOP)+24

Seasonal Analyst

Jan 2022 – Jul 2022 · 6 mos

PrometheusSpring MVCSpring BootSpring WebfluxJavaReact.js+1

Summer Analyst

Jun 2021 – Jul 2021 · 1 mo · Bengaluru, Karnataka, India

Shiv nadar university

Undergraduate Researcher

Jun 2020 – Jul 2021 · 1 yr 1 mo · India

Worked as an undergraduate researcher where I was involved in the following project:
Dynamic allocation of bandwidth using time series analysis

Hcl technologies

Intern

Jun 2020 – Aug 2020 · 2 mos · Noida, Uttar Pradesh, India

Built an end-to-end text debiasing web app by utilizing concepts of NLP and full stack web development.
The solution required use of NLP concepts grammar and semantic context extraction, sentiment analysis, vectorization and sequential tagging. The web app was built using Flask and Jinja

Arcturus business solutions pvt ltd

Computer Vision Intern

Jun 2020 – Aug 2020 · 2 mos · Noida, Uttar Pradesh, India

Built a Facial Representative Angled Image Selection System, i.e a system to identify a given number of representative facial images from a pool of facial images at all possible angles.
Worked with a wide variety of techniques like pose estimation using landmarks, using deep learning networks on videos and mathematical concepts like affine transformations.
Also gained experience in testing as the algorithm was tested on a large number of videos and was successful in almost all cases.