Vinay Kumar Yadav

AI Researcher

Gautam Buddha Nagar, Uttar Pradesh, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in optimizing deep learning algorithms.
Strong foundation in machine learning and computer vision.
Proven ability to deliver scalable cloud solutions.

Stackforce AI infers this person is a Deep Learning Engineer with expertise in AI-driven solutions.

Contact

Skills

Core Skills

Machine LearningDeep Learning

Other Skills

ASP.NETAnacondaArtificial Intelligence (AI)BERT (Language Model)Batch ProcessingC++CUDACassandraCentral Limit TheoremCloud StorageComputer ScienceComputer VisionDASHDBaaSData Analysis

About

I am a results-driven deep learning engineer with a strong foundation in machine learning and computer vision. My expertise lies in optimizing algorithms, developing modular software, and leveraging cloud technologies for scalable solutions. I excel in collaborative environments, am a quick learner, and am committed to delivering excellence. Let's connect and explore how I can contribute to your team's success.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Sparsh cctv

Machine Learning Engineer

Apr 2024 – Sep 2024 · 5 mos · Noida, Uttar Pradesh, India · On-site

Developed and ad optimised traffic management algorithms wing CUDA, C++, and Tenne Flow, wulting imag 30%
in processing time Conducted in-depth analysis of traffic patterns to improve algorithm accuracy le 15%.
Collaborated with hardware engineers to integrate machine learning nodels with CCTV systems, loading to a 20% improvement in real-time data processing.
Deployed

CUDAC++TensorFlowTraffic Management AlgorithmsMachine LearningDeep Learning

Synergylabs

Deep Learning Engineer

Jan 2023 – Mar 2023 · 2 mos · Gurugram, Haryana, India · On-site

During my internship, I worked on traffic management and surveillance systems, gaining experience in CUDA, Optimization, C++, NumPy, OOP, Data Science, TensorFlow, Linux, Go, Deep Learning, and Docker.
Responsibilities:
1. Development and Optimization: Optimized traffic management algorithms using CUDA for improved performance.
2. C++ Programming: Contributed to traffic surveillance software development in C++.
3. OOP: Designed modular software components following OOP principles for scalability.
4. Deep Learning and TensorFlow: Developed accurate traffic event detection and classification models using TensorFlow.
5. Linux and Docker: Deployed traffic management software on Linux servers using Docker.
6. Go: Utilized Go for developing networking components and real-time data processing.
Active participation in team meetings, code reviews, and knowledge-sharing sessions enhanced my understanding of software development practices.
Overall, the internship provided practical experience in traffic management systems, including optimizing algorithms with CUDA, efficient C++ programming, data analysis with NumPy, deep learning with TensorFlow, Linux deployment with Docker, and network development with Go.

CUDAC++TensorFlowData ScienceLinuxDocker+2

Bobble ai

Data Annotator

Sep 2022 – Jan 2023 · 4 mos · Gurugram, Haryana, India · Remote

During my internship at Bobble Ai, I focused on annotating text datasets for training AI models used in predictive text and language processing.
Responsibilities:
1. Dataset Understanding: Familiarized myself with dataset requirements and objectives, including data formats and annotation guidelines.
2. Annotation Quality Control: Ensured accurate and consistent annotations, maintaining high-quality standards.
3. Collaboration: Actively participated in team discussions and communication channels, addressing challenges and ensuring annotation accuracy and consistency.
4. Annotation Tool Utilization: Utilized advanced annotation tools provided by Bobble Ai, streamlining the annotation process.
5. Quality Assurance and Feedback: Performed regular checks to validate annotation accuracy, providing feedback for improvements.
This experience at Bobble Ai enhanced my attention to detail and collaboration skills in an AI development environment.
Overall, my internship focused on text dataset annotation, contributing to my growth in AI-driven soft keyboards. It motivated me to improve user experiences through intelligent keyboard solutions in the AI industry.