Dhruv Kothiya

Data Scientist

Bengaluru, Karnataka, India3 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Developed advanced AI solutions for diverse industries.
  • Led impactful projects enhancing operational efficiency.
  • Strong collaboration with startups to scale AI technologies.
Stackforce AI infers this person is a Full Stack Machine Learning Engineer specializing in AI solutions for various industries.

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Skills

Core Skills

Artificial Intelligence (ai)Machine LearningComputer VisionGenerative Ai

Other Skills

Azure Kubernetes Service (AKS)DockerKubernetesFeature extraction modelsUI developmentData augmentationTransformers ModelJetson NanoDeepStreamTechnology SolutionsSoftware ArchitectureProject ManagementImage ProcessingTransformer ModelsGPT-3

About

Experienced Full Stack Machine Learning Engineer with a strong background in developing and deploying AI solutions in production environments. Proficient in a wide range of technologies, including machine learning, deep learning, computer vision, natural language processing, Document AI, MLOps, Kubernetes, Docker, and more. In my freelance work, I've collaborated with multiple companies to transform visionary ideas into reality. For example, I developed a cutting-edge Number Plate Recognition system for MoEVing, enabling efficient detection and recognition of India's electrical vehicle number plates. Additionally, I implemented a fine-tuned OCR-free Document Understanding Transformer for Drnko, resulting in a 35% accuracy increase and a 70% reduction in running costs. I also have experience in denoising satellite image data, brain tumor classification using Vision Transformers, and other AI applications. During my tenure as a Solutions Engineer at NVIDIA, I gained expertise in NVIDIA's software and hardware for AI workloads, GPUs, and AI frameworks. I collaborated with approximately 20 startups to scale their AI-accelerated solutions using technologies like DeepStream, TensorRT, and more. At Samyak Infotech Pvt Ltd, I served as a Machine Learning Engineer, engaging in multiple end-to-end deep learning and DevOps projects with diverse technologies. I led the development of an end-to-end application for invoice data extraction, involving model training, optimization, API integration, and deployment with Docker and Kubernetes. I also spearheaded a project for jewellery recognition, which involved finding similar design jewelry to customer images from a database, encompassing feature extraction models, UI development, data augmentation, model training, and deployment. Graduated with a Bachelor's degree in Computer Science and Engineering from SHRI SADVIDHYA MANDAL INSTITUTE OF TECH., BHARUCH, in 2022. Committed to continuous learning and leveraging emerging technologies to solve real-world challenges, with a focus on creating innovative and impactful AI solutions that drive positive change.

Experience

3 yrs
Total Experience
1 yr
Average Tenure
1 yr 11 mos
Current Experience

Exponentia.ai

Data Scientist

Jun 2024Present · 1 yr 11 mos · Bengaluru, Karnataka, India · Hybrid

  • Working on GenAI products with HDFC Life
Generative AIArtificial Intelligence (AI)

Nvidia

AI Solutions Engineer

Apr 2023Aug 2023 · 4 mos · Bengaluru, Karnataka, India · On-site

  • ●Gained valuable expertise in NVIDIA's software and hardware for AI workloads, including GPUs and AI frameworks.
  • ●Collaborated with approximately 20 startups to scale their AI-accelerated solutions.
  • ●Played a key role in leveraging technologies like DeepStream and TensorRT to enhance the performance and scalability of these solutions.
  • ●Equipped with a deep understanding of AI infrastructure and best practices, enabling effective support and optimization of AI solutions for various use cases.
Computer VisionArtificial Intelligence (AI)

Samyak infotech pvt. ltd.

2 roles

Machine Learning Engineer

Jul 2022Apr 2023 · 9 mos · Ahmedabad, Gujarat, India · On-site

  • Engaged in multiple end-to-end deep learning and DevOps projects with diverse technologies.
  • ● GenAI: MCQs generation with Transformers Model: Trained GPT-J model with a custom dataset.
  • ● Invoice Data Extraction: Led the development of an end-to-end application with model training, optimization, API
  • integration, and deployment with Docker and Kubernetes.
  • ● Jewellery Recognition: Spearheaded a project involving feature extraction models, UI development, data
  • augmentation, model training, and deployment.
  • ● DevOps: Worked on AKS and Blob Storage with CI/CD pipelines using Jenkins and Terraform.
Artificial Intelligence (AI)Azure Kubernetes Service (AKS)

Machine Learning Engineer

Jan 2022Jun 2022 · 5 mos · Ahmedabad, Gujarat, India · On-site

  • Worked with Samyak AI team on different Deep Learning projects and started with MLOps Learnings
  • ● People counter: Implemented a solution on Jetson Nano for precise people counting.
  • ● Learned Kubernetes and Docker for deployment on Google Kubernetes Engine (GKE) for various projects.
  • ● Developed the backend in Flask for a Data Extraction project using Python.
Artificial Intelligence (AI)Docker

Education

SHRI SADVIDHYA MANDAL INSTITUTE OF TECH., BHARUCH 045

Bachelor of Engineering - BE

Jan 2018Jan 2022

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