Ankit Verma

Software Engineer

Noida, Uttar Pradesh, India10 mos experience

Key Highlights

Optimized rendering pipelines by ~70% at Samsung.
Developed ML-powered QA pipelines for defect detection.
Shipped features impacting 100K+ users.

Stackforce AI infers this person is a Software Engineer specializing in Machine Learning and Embedded Systems for Consumer Electronics.

Contact

Skills

Core Skills

Software DevelopmentEmbedded SystemsMachine Learning

Other Skills

JavaC#Tizen OSYOLOTesseractEasyOCRPaddleOCROpenCVCNNSOLID Design PrinciplesProblem SolvingSoftware DesignWeb DevelopmentPython (Programming Language)Data Science

About

Software Engineer @ Samsung R&D India | IIT (BHU) Varanasi CSE '25 | CGPA 9.05 I build embedded UI systems that scale. At Samsung, I've shipped production-grade features for OneUI 8.5 across 5+ Digital Appliance product lines, optimized rendering pipelines by ~70%, and resolved 30+ critical defects impacting 100K+ users — all in Java and C# on Tizen OS. Beyond full-time work, I've built ML-powered QA pipelines with YOLO & multi-engine OCR, and full-stack systems using Spring Boot and React.js. Open to exploring high-impact software engineering roles in systems, backend, or product engineering.

Experience

10 mos

Total Experience

10 mos

Average Tenure

10 mos

Current Experience

Samsung india

2 roles

Engineer

Jul 2025 – Present · 10 mos · Noida, Uttar Pradesh, India · On-site

JavaC#Tizen OSEmbedded SystemsSoftware Development

SDE Intern

May 2024 – Jul 2024 · 2 mos · Delhi, India · On-site

Worked in Device Intelligence Team.
Specialized in identifying six key defect types including code exposure, SID issues, TR defects, translation errors, junk characters, and GUI clipping.
Developed a machine learning API for detecting UI anomalies in Samsung devices, enabling defect analysis.
Enhanced UI quality control by automating defect detection, improving accuracy and efficiency over past methods.
Leveraged a pre-trained YOLO model to exclude icons and thumbnails from false anomaly detection.
Exposure: Tesseract, EasyOCR, PaddleOCR, YOLO, OpenCV, CNN

Machine LearningYOLOTesseractEasyOCRPaddleOCROpenCV+2

Examarly

Content Development Consultant

Apr 2022 – Aug 2022 · 4 mos · Kanpur, Uttar Pradesh, India

Developed high-quality content for IIT JEE (Physics, Chemistry, and Mathematics), focusing on conceptual clarity and problem-solving techniques.
Curated and organized relevant free resources from across the web to provide comprehensive learning materials for students.
Created structured study plans and topic-wise content to help students effectively prepare for the competitive IIT JEE exam.
Ensured accuracy and alignment of content with the JEE syllabus, simplifying complex topics for better understanding.
Collaborated with the team to enhance the accessibility of learning resources, ensuring they were user-friendly and effective for student engagement.