Shashank Thakur
Software Engineer
Ghaziabad,UP
Summary
Vision Software Engineer with 4+ years of experience in computer vision, deep learning, and image processing. Skilled in Python, C++, TensorFlow, and OpenCV, with a strong track record in developing scalable AI solutions for medical and skincare applications. Recognized for innovation and technical leadership across cross-platform projects.
Overview
5
5
years of professional experience
5
5
years of post-secondary education
Work History
Vision Software Engineer
KritiKal Solutions
09.2021 - Current
- Worked on deep learning for image segmentation in IVF, pioneered alpha mattes for hair boundary segmentation, developed SVM for Rubik's Cube color detection, optimized CoreML model integration, and enhanced software efficiency with scalable code and advanced technologies.
Programmer Analyst
Cognizant Technology Solutions
08.2020 - 08.2021
- Conducted regression and system-level testing, implemented Java-based automation with Selenium and TestNG, and collaborated with business analysts to design test cases and address technical issues.
Machine Learning Intern
KPIT Technologies
01.2020 - 06.2020
- Developed and optimized auto cruise control systems using reinforcement learning, creating a training environment and refining models with simulated data for improved performance.
Education
Integrated B.Tech and M.Tech - Computer Science
Jaypee Institute of Information Technology
Noida, Uttar Pradesh 07.2015 - 06.2020
Skills
- Python
- C
- C
- Objective-C
- TensorFlow
- PyTorch
- OpenCV
- Vision Transformers
- Code Debugging
- Algorithm implementation
- Code reviews
Projects
Skanray X-ray Image Stitching : (Jan 2025 - Apr 2025)
Conducted a literature survey on image stitching techniques for grayscale images, focusing on addressing parallax issues in X-ray imagery.
Beiersdorf Wrinkle Analysis : (Nov 2024 - Dec 2024)
Led a team for wrinkle annotation and defined qualitative metrics such as thickness, length, count, and growth analysis using single-pixel polyline annotations.
Procter & Gamble(P&G) Hair Boundary Segmentation and 3D Reconstruction : (Feb 2023 - Sept 2023)
Led research on hair boundary segmentation and 3D reconstruction, developing advanced algorithms for precise strand mapping and autonomous segmentation using deep learning techniques.
Procter & Gamble(P&G) Skincare : (March 2022 - August 2022)
Developed and enhanced an iOS beauty and skincare analysis app by integrating CoreML models and modernizing skin analysis algorithms.
Byju’s : (Jan 2022 - Feb 2022)
Developed an Android app for Rubik’s Cube solving, featuring precise color detection and calibration using an SVM model.
Auto Cruise Control using Reinforcement Learning : (Jan 2020 – May 2020)
Designed and validated a training environment using Double Deep Q-Network (DDQN) with simulation data for performance evaluation.
Nature Inspired Algorithm Package in GoLang : (Aug 2018 – May 2019)
Optimized and enhanced Nature Inspired Computing (NIC) packages in GoLang, achieving superior computational speed over Python equivalents.
Accomplishments
- Star of the Month, March 2025
- Star of the Month, December 2024
- Vega Award, August 2022
- Research Paper, P. Shukla, S. Thakur, S. Arora, and A. Wadhwa, 'Nature-Inspired Algorithms Analysis on various Benchmark Functions using Python and Golang,' 2022 1st International Conference on Informatics (ICI). IEEE, 04/14/22. DOI: 10.1109/ici53355.2022.9786911
- Certificate of Excellence, 3rd position in Paper Presentation 2019, JIIT Noida
Timeline
Vision Software Engineer
KritiKal Solutions
09.2021 - Current
Programmer Analyst
Cognizant Technology Solutions
08.2020 - 08.2021
Machine Learning Intern
KPIT Technologies
01.2020 - 06.2020
Integrated B.Tech and M.Tech - Computer Science
Jaypee Institute of Information Technology
07.2015 - 06.2020
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