With over six years of experience in applied machine learning, I worked mainly on pipelining machine learning models for search retrieval/ranking (text/image/multimodal), recommender systems, including some computer vision tasks (object detection, segmentation) mainly from ECCV/CVPR/NeurIPS competitions on Kaggle, and experience consulting on the quant side dealing with financial AI use-cases (scenario generation of stock portfolios, fraud detection at scale such as multi-chain Blockchains transactions > 100M). I am amenable to acquiring proficiency in diverse programming languages/frameworks, and infrastructure (currently learning Rust). My problem-solving aptitude extends beyond coding and product development; I actively seek opportunities to enhance the development process and assist colleagues through mentoring and coaching. If your team requires a machine learning researcher/engineer, data scientist, or research scientist to build production-grade modelling pipeline focussed toward performance optimisation and producing high-quality code and features, I am readily available for a full-time, remote/contract, and long-term roles.
I'm on the job market and open to roles in industry! With over six years of experience in applied machine learning, I worked mainly on pipelining machine learning models for search retrieval/ranking (text/image/multimodal), recommender systems, including some computer vision tasks (object detection, segmentation) mainly from ECCV/CVPR/NeurIPS competitions on Kaggle, and experience consulting on the quant side dealing with financial AI use-cases (scenario generation of stock portfolios, fraud detection at scale such as multi-chain Blockchains transactions > 100M). I am amenable to acquiring proficiency in diverse programming languages/frameworks, and infrastructure (currently learning Rust). My problem-solving aptitude extends beyond coding and product development; I actively seek opportunities to enhance the development process and assist colleagues through mentoring and coaching. If your team requires a machine learning researcher/engineer, data scientist, or research scientist to build production-grade modelling pipeline focussed toward performance optimisation and producing high-quality code and features, I am readily available for a full-time, remote/contract, and long-term roles.
With over six years of experience in applied machine learning, I worked mainly on pipelining machine learning models for search retrieval/ranking (text/image/multimodal), recommender systems, including computer vision tasks (object detection, segmentation) mainly from ECCV/CVPR/NeurIPS competitions on Kaggle, and financial AI use-cases (scenario generation of stock portfolios, fraud detection at scale such as multi-chain Blockchains transactions > 100M). I am amenable to acquiring proficiency in diverse programming languages/frameworks, and infrastructure (currently learning Rust). My problem-solving aptitude extends beyond coding and product development; I actively seek opportunities to enhance the development process and assist colleagues through mentoring and coaching. If your team requires a machine learning researcher/engineer, data scientist, or research scientist to build production-grade modelling pipeline focussed toward performance optimisation and producing high-quality code and features, I am readily available for a full-time, remote/contract, and long-term roles.
I'm on the job market and open to roles in industry! With over six years of experience in applied machine learning, I worked mainly on pipelining machine learning models for search retrieval/ranking (text/image/multimodal), recommender systems, including computer vision tasks (object detection, segmentation) mainly from ECCV/CVPR/NeurIPS competitions on Kaggle, and financial AI use-cases (scenario generation of stock portfolios, fraud detection at scale such as multi-chain Blockchains transactions > 100M). I am amenable to acquiring proficiency in diverse programming languages/frameworks, and infrastructure (currently learning Rust). My problem-solving aptitude extends beyond coding and product development; I actively seek opportunities to enhance the development process and assist colleagues through mentoring and coaching. If your team requires a machine learning researcher/engineer, data scientist, or research scientist to build production-grade modelling pipeline focussed toward performance optimisation and producing high-quality code and features, I am readily available for a full-time, remote/contract, and long-term roles.
I'm on the job market and open to roles in industry/academia! With over six years of experience in applied machine learning, I worked mainly on pipelining machine learning models for search retrieval/ranking (text/image/multimodal), recommender systems, including computer vision tasks (object detection, segmentation) mainly from ECCV/CVPR/NeurIPS competitions on Kaggle (https://kaggle.com/amitkumarjaiswal), and financial AI use-cases (scenario generation of stock portfolios, fraud detection at scale). I am amenable to acquiring proficiency in diverse programming languages/frameworks, and infrastructure (currently learning Rust). My problem-solving aptitude extends beyond coding and product development; I actively seek opportunities to enhance the development process and assist colleagues through mentoring and coaching. If your team requires a machine learning researcher/engineer, data scientist, or research scientist to build production-grade modelling pipeline focussed toward performance optimisation and producing high-quality code and features, I am readily available for a full-time, remote/contract, and long-term roles.
I'm on the job market and open to roles in industry/academia!
With over six years of experience in applied machine learning, I worked mainly on pipelining machine learning models for search retrieval/ranking (text/image/multimodal), recommender systems, computer vision tasks (object detection, segmentation), and financial AI use-cases (scenario generation of stock portfolios, fraud detection at scale).
I am amenable to acquiring proficiency in diverse programming languages/frameworks, and infrastructure (currently learning Rust). My problem-solving aptitude extends beyond coding and product development; I actively seek opportunities to enhance the development process and assist colleagues through mentoring and coaching. If your team requires a machine learning researcher/engineer, data scientist, or research scientist to build production-grade modelling pipeline focussed toward performance optimisation and producing high-quality code and features, I am readily available for a full-time, remote/contract, and long-term roles.
Roles: Machine Learning Engineer, Research Scientist, AI Researcher, Product Manager, MLOps Engineer
Willing to relocate: Yes
Location: London, United Kingdom | Work Authorisation: UK/India
Technologies: Python, Scala, C/C++, Bash, FastAPI, Flask, GraphQL, MySQL/PostgreSQL, Neo4j/TigerGraph, Tensorflow/PyTorch/Keras, Spacy, OpenCV, NLTK, Langchain, Llamaindex, Triton, Elasticsearch, Kubeflow/Mlflow, Ray, Kafka, Spark, PyFlink, Grafana, AWS/GCP/Azure, Terraform/Ansible, Docker, Kubernetes/Openshift
GitHub: https://github.com/amitkumarj441
Résumé/CV: https://www.dropbox.com/scl/fi/qk81xf92cbjor3er91arc/AmitcKJ...
LinkedIn: https://www.linkedin.com/in/amitkumarjaiswal1
Kaggle: https://kaggle.com/amitkumarjaiswal
Email: amitkumarj441@gmail.com
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With over six years of experience in applied machine learning, I worked mainly on pipelining machine learning models for search retrieval/ranking (text/image/multimodal), recommender systems, including some computer vision tasks (object detection, segmentation) mainly from ECCV/CVPR/NeurIPS competitions on Kaggle, and experience consulting on the quant side dealing with financial AI use-cases (scenario generation of stock portfolios, fraud detection at scale such as multi-chain Blockchains transactions > 100M). I am amenable to acquiring proficiency in diverse programming languages/frameworks, and infrastructure (currently learning Rust). My problem-solving aptitude extends beyond coding and product development; I actively seek opportunities to enhance the development process and assist colleagues through mentoring and coaching. If your team requires a machine learning researcher/engineer, data scientist, or research scientist to build production-grade modelling pipeline focussed toward performance optimisation and producing high-quality code and features, I am readily available for a full-time, remote/contract, and long-term roles.