Associate R&D Engineer · Machine Learning Engineer

SAMYAK VANSH

Artificial Intelligence · Computer Vision · Robotics

Associate Research & Development Engineer at Black Orange Talent, developing AI, Robotics and STEM technologies.

Experienced in Machine Learning, Computer Vision, Deep Learning, Generative AI and Intelligent Product Development.

Worked on NVIDIA DGX-A100 powered AI systems, face recognition pipelines, image classification solutions and educational AI products.

93.4%

CNN Accuracy

NVIDIA

DGX-A100

30+

Google Cloud Badges

AI + CV

Production Systems

ABOUT ME

I am Samyak Vansh, an Associate Research & Development Engineer and Machine Learning Engineer passionate about turning ambitious ideas into intelligent, real-world products. At Black Orange Talent, I contribute to the research, development and deployment of AI, Robotics and STEM-based educational technologies, spanning curriculum design, product validation, testing and engaging learning solutions. Previously, I developed high-performance AI solutions, computer vision systems and GPU-accelerated inference pipelines on NVIDIA DGX-A100 environments using TensorRT, Docker and Kubeflow. My work and interests span Artificial Intelligence, Computer Vision, Deep Learning, Face Recognition, Robotics, Embedded AI, Large Language Models, Retrieval-Augmented Generation and intelligent automation systems.

Education

B.Tech Computer Science (AI)
ABES Institute of Technology

AI Domains

Machine Learning
Computer Vision
Generative AI

Platforms

NVIDIA DGX-A100
Docker
Kubeflow

Achievement

30+ Google Cloud Badges
Diamond League

TECHNICAL ARSENAL

AI & Machine Learning

TensorFlowPyTorchScikit-LearnDeep LearningCNNsGenerative AI

Computer Vision

OpenCVInsightFaceArcFaceDeepSORTFace RecognitionImage Classification

LLM & NLP

Hugging FaceTransformersLlamaIndexRAGNLPMilvus

MLOps & Deployment

DockerKubeflowTensorRTONNX RuntimeStreamlitDjango

Programming

PythonSQLC

Robotics & Embedded Systems

ArduinoIoT SystemsSensorsRoboticsEmbedded AISTEM Technologies

EXPERIENCE

Associate Research & Development Engineer

Black Orange Talent

Jun 2026 - Present
  • Researching and developing AI, Robotics and STEM educational technologies.
  • Building Generative AI, Machine Learning and Robotics learning modules.
  • Leading product validation, testing and deployment initiatives.
  • Developing innovative AI-powered educational solutions.

Product Development & Training Intern

Black Orange Talent

Dec 2025 - Jun 2026
  • Designed intelligent systems using Python, Arduino and embedded technologies.
  • Supported AI and Robotics product development initiatives.
  • Created curriculum modules and hands-on project experiences.
  • Conducted AI, Robotics and Emerging Technology workshops.

Machine Learning Trainee (NVIDIA DGX-A100)

Global Infoventures

Sep 2023 - Jun 2025
  • Developed machine learning solutions on NVIDIA DGX-A100 infrastructure.
  • Built computer vision and multi-person face recognition systems.
  • Optimized inference pipelines using TensorRT.
  • Worked with Docker and Kubeflow for deployment workflows.

FEATURED PROJECTS

Fashion Product Intelligence System

Deep Learning powered fashion product classification system built using TensorFlow, CNNs and Streamlit. Trained on the Myntra Fashion Dataset for real-time fashion category prediction.

TensorFlowCNNKerasOpenCVStreamlitComputer Vision
93.4% Validation Accuracy
14,111 Training Images
7 Fashion Categories
  View Repository

Face Clustering System

AI-powered face clustering system using InsightFace, ArcFace embeddings and DBSCAN clustering. Automatically groups images of the same person through deep learning embeddings.

InsightFaceArcFaceDBSCANOpenCVONNX RuntimeStreamlit
Face Detection
ArcFace Embeddings
Cluster Analytics
  View Repository

CERTIFICATIONS

Google Cloud Skill Boost

30+ Skill Badges • Diamond League

Generative AI Certification

Google Cloud

Machine Learning Training

Global Infoventures (NVIDIA Partner)

CONTACT US

Let's Build Intelligent Systems Together

Interested in AI, Machine Learning, Computer Vision, Robotics or Research & Development collaborations?