computer vision engineer

MRITYUNJAY KUMAR SINHA

Computer Vision Engineer

CONTACT

Phone : +91-809*******

Email :

******************@*****.***

LinkedIn -

https://www.linkedin.com/in/mrityunjay-

kumar-sinha-7b4b10157

Date Of Birth – 27th May 1994

SUMMARY

Computer vision and optics engineer with 6+ years of experience building end-to-end imaging and deep-learning solutions for high-speed microscopy and scanning systems. Expertise in image quality assessment, detection models (VGG, YOLO), and FFT-based whole-slide stitching, with a strong track record of deploying production-ready vision algorithms integrated with optics, cameras, and motion hardware for industrial and medical imaging platforms.

SKILLS

Computer Vision

YOLO based object

detection

VGG-based CNN Model

Image Processing Model

FFT based Stitching

Camera Calibration

Scanning and automation

systems

Programming

Python

Image Processing

Zemax OpticalStudioTM

MATLAB

Domains

Computer Vision

Optical system design

Camera systems (global

shutter

Embedded hardware

integration

System prototyping

manufacturing

EDUCATION

M.sc(tech)-2016-19

National Institute of

technology, Warangal

Major – photonics,CGPA-7.17

B.sc- 2012-2015

Central University of

Jharkhand, Ranchi

Major- Physics,CGPA-7.18

LANGUAGE KNOWN

English,Hindi

EXPERIENCE

SENIOR OPTICAL ENGINEER SIGTUPLE TECHNOLOGIES

NOV 2021- PRSENT

Impact: Delivered end-to-end computer-vision algorithms and hardware–software integration for automated microscopy, including smear quality detection, WBC extraction, and whole-slide stitching results in high-speed scanning imaging system, improving image quality, calibration accuracy, and autofocus stability across deployed devices.

• Implemented WBC extraction pipeline using YOLO-based object detection, enabling accurate localization and cropping of white blood cells from high-resolution smear images for further classification

• Developed smear detection model using VGG-based CNN model to to dynamically select valid sample regions and optimize scan coverage and speed.

• Built image quality assessment pipeline to detect dust, empty regions, and air bubbles in 100 microscopy images, enabling automated rejection and rescan logic for whole-slide scanning systems.

• Designed and optimized FFT-based image stitching algorithm for whole-slide imaging, improving alignment accuracy and reducing stitching artifacts across large scan areas.

• Integrated Image Processing singular model for image enhancement and resolution scaling with kernel optimization

• Designed and implemented continuous autofocus algorithm for global shutter camera integrated with precision motion stages.

• Led transition from R&D prototype to manufacturing, improving system robustness and deployment reliability across production units.

• Developed modular hardware control framework enabling integration of multiple cameras and hardware devices.

PROJECT SCIENTIFIC ASSISTANT INDIAN INSTITUTE OF ASTROPHYSICS MAY 2020-NOV 2021

Impact: Contributed to integration and qualification of a space-grade imaging system by collaborating across teams to deliver a flight-ready payload meeting strict mission and environmental standards.

• Integrated optical assemblies for space-grade instrument (VELC payload) and performed optical metrology using interferometers and Profilometer.

• Conducted environmental testing (thermal vacuum, vibration) on integrated electro-optical systems.

OPTICAL ENGINNER ANANTH TECHNOLOGIES, HYDERABAD

JULY 2019-MARCH 2020

Impact: Designed and optimized imaging optics for LiDAR and night-vision systems, improving image quality, alignment accuracy, and overall sensing performance for low-light and remote-sensing

• Designed Telescope using Zemax OpticalStudioTM for cloud LIDAR imaging.

• Developed night-vision imaging system.

Contact this candidate