Isha Kalra

Software Engineer

Noida, Uttar Pradesh, India7 yrs 9 mos experience
Highly Stable

Key Highlights

  • Experienced in real-time fraud detection systems.
  • Contributed to advanced computer vision projects.
  • Strong foundation in software engineering principles.
Stackforce AI infers this person is a Software Engineer with expertise in Fintech and Computer Vision.

Contact

Skills

Other Skills

JavaPythonMatlabHTMLC++VerilogLTSpice

Experience

7 yrs 9 mos
Total Experience
1 yr 11 mos
Average Tenure
2 yrs
Current Experience

Microsoft

Software Engineer 2

Jun 2024Present · 2 yrs · Noida, Uttar Pradesh, India

Engineer automotive products

Engineer

Apr 2024Jun 2024 · 2 mos · Noida · Hybrid

Amazon

2 roles

Software Development Engineer 2

Promoted

Apr 2023Apr 2024 · 1 yr · Bengaluru, Karnataka, India

Software Development Engineer 1

Apr 2021Apr 2023 · 2 yrs · Bengaluru, Karnataka, India

Expedia group

2 roles

Software Development Engineer

Jul 2020Apr 2021 · 9 mos · Gurugram, Haryana, India

  • Worked on Expedia's Fraud Detection Stack by contributing to services which collect transaction attributes, and perform computations on them in real time. These computations were then used to predict if a transaction fraudulent.

Software Engineering Intern

May 2019Jul 2019 · 2 mos · Gurgaon, India

  • Worked with Expedia’s Virtual Agent to find the common pain points for customers in their interactions with the chatbot & predicting their level of frustration in real time. Received a pre-placement offer.

Indraprastha institute of information technology, delhi

2 roles

Undergraduate Teaching Assistant

Jan 2019May 2020 · 1 yr 4 mos

  • ECE230: Fields and Waves
  • MTH201: Probability and Statistics
  • Responsible for teaching in tutorial sessions, correcting submissions & handling doubts.

Undergraduate Researcher

May 2018Jul 2019 · 1 yr 2 mos

  • Advisors: Dr. Mayank Vatsa, Dr. Richa Singh
  • Contributed to building and evaluating a drone-shot video dataset for person identification & worked on an algorithm for face recognition in very low resolution images extracted from the drone videos. Notable experiments include a one-shot learning siamese network for VGGFace and loss functions using DeepLDA and domain loss. Dataset research accepted to FG 2019.

Education

Indraprastha Institute of Information Technology, Delhi

Bachelor of Technology (B.Tech.) — Electronics and Communications Engineering

Jan 2016Jan 2020

Amity International School, Noida

High School

Jan 2002Jan 2016

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