Abhirup Mandal

Software Engineer

India5 yrs 2 mos experience

Most Likely To Switch

Key Highlights

Proficient in Machine Learning and Data Science.
Experience in automating KYC processes in Fintech.
Skilled in image processing and classification techniques.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Fintech and Healthcare sectors.

Contact

Skills

Core Skills

Machine LearningData Science

Other Skills

OpenCVOCRKYC AutomationImage ProcessingCNNSVMJavaData AnalysisProblem SolvingComputer VisionAnalytical SkillsWeb DevelopmentAlgorithmsC++Python

About

Hello, I am Abhirup a skilled software engineering professional. I have previously worked in the banking and logistics industries, where I gained valuable experience in working with reliable and complex distributed systems. I am enthusiastic about learning new technologies and tackling challenging problems. I am results-driven and motivated by the positive impact of the products I work on. I am always seeking to add value in new sectors and find solutions to unique problems.

Experience

5 yrs 2 mos

Total Experience

1 yr 3 mos

Average Tenure

2 yrs 3 mos

Current Experience

Meesho

SDE-II

Feb 2024 – Present · 2 yrs 4 mos · Bengaluru, Karnataka, India · Hybrid

Blackbuck (zinka logistics solutions pvt. ltd.)

SDE-1

Apr 2022 – Feb 2024 · 1 yr 10 mos · Bengaluru, Karnataka, India

Fico

Associate Software Engineering

Jul 2021 – Apr 2022 · 9 mos

Chegg india

Subject Matter Expert

Mar 2021 – Jun 2021 · 3 mos

Subject matter expert in Advanced Math

Exa mobility

Machine Learning Intern

Apr 2020 – Jul 2020 · 3 mos · Workig Remotely

KYC Automation
Automating the KYC step, by building a QR detection and OCR system with the help of OpenCV's East text detector and Tesseract, which would decrease the human interaction required substantially and fasten the client onboarding process.

OpenCVOCRKYC AutomationMachine LearningData Science

Indian institute of technology, kharagpur

Undergraduate Research Assistant

Dec 2019 – Mar 2020 · 3 mos

Classification of Lung Emphysema
Preprocessing of CT scan images of lungs through noise removal using median filter, Gaussian
filter, and gamma correction for contrast enhancement.
Performed image segmentation to extract the lung portions for further analysis using the K-means clustering algorithm.
Created a feature extractor by training a CNN coupled with an SVM classifier and then joined it with an extreme learning machine(ELM ) layer for final predictions.

Image ProcessingCNNSVMMachine LearningData Science