Sristi .

Software Engineer

India4 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Strong leadership experience in technology projects.
Proficient in machine learning and writing technical content.
Recognized as a top candidate in mentorship programs.

Stackforce AI infers this person is a Machine Learning and Software Engineering professional with a focus on innovative technology solutions.

Contact

Skills

Core Skills

LeadershipWritingMachine Learning

Other Skills

DjangoPython (Programming Language)C++

About

Profoundly fascinated by the application of technology to solve real-world problems. I am actively on the watch for opportunities to learn and grow my horizons. Living for the 'aha' moments building solutions!

Experience

4 yrs 8 mos

Total Experience

11 mos

Average Tenure

1 yr 9 mos

Current Experience

Microsoft

Software Engineer

Jul 2024 – Present · 1 yr 9 mos

University of warsaw

Research Assistant

Dec 2023 – May 2024 · 5 mos · Remote

Microsoft

Software Engineer Intern

May 2023 – Jul 2023 · 2 mos · Hyderabad, Telangana, India · On-site

Minerva

3 roles

President

Promoted

Jan 2023 – Mar 2024 · 1 yr 2 mos

Leadership

Research Team Lead

Promoted

Mar 2022 – Jan 2023 · 10 mos

Writing

Research Associate

Jun 2021 – Mar 2022 · 9 mos

My work includes content creation for latest technological trends, upcoming opportunities for Women in Technology, newsletters and technical articles.

Writing

Lean in @igdtuw

2 roles

Machine Learning Mentor Lead

Jan 2023 – May 2023 · 4 mos

Machine Learning

Machine Learning Mentor

Jan 2022 – Jan 2023 · 1 yr

University of california, davis

Research Intern

Jan 2023 – May 2023 · 4 mos · Remote

Anveshan foundation igdtuw

Research Intern

Jun 2022 – Jul 2022 · 1 mo

Completed a research project on Machine Learning and its applications in Cybersecurity.
Worked on a project to predict Telecom Churn/Attrition Analysis.

Women techmakers

Member

May 2022 – Nov 2023 · 1 yr 6 mos

Ministry of home affairs (mha), goi

Intern

May 2022 – Jan 2023 · 8 mos

As part of a research project at IGDTUW, I developed and improved automated facial recognition systems for criminal identification for CFSL.
My tasks involved:
Researching and implementing several handcrafted and non-handcrafted feature extraction techniques.
Introducing augmentation to increase the dataset size by 200%.
Implementing and comparing between various benchmark ROI Detection techniques on large datasets.
Researching and implementing Image Enhancement techniques for low resolution image datasets.
Implementing a web application to host the face recognition pipeline