Jinesh Patel

About Jinesh Patel

As a Senior Software Engineer, I am developing end to end solutions for products that use AI/ML technologies. Taking ownership of highly technical and research oriented AI and ML projects.I have over 14 years of professional experience in developing data pipelines for Machine Learning/AI, tool development, software automation and cloud. Technologies and Tools I have used.Machine Learning/Deep Learning: PyTorch, keras, numpy, sklearn, scipy, pandas.Vector Databases: Chroma, MilvusMLOps: MLflow, Airflow Data Visualization: matplotlib, plotly, seabornNLP: Embeddings, Tokenizing, LLM, Sentiment analysis, RAG, HuggingFace, Transformers, Chatbots, Large model Fine-tuning.GenAi: LLM based text generation. Data Engineering: PySpark, ELK(Elastic search, Logstash, Kibana), SQL, Apache Airflow, Kafka, MongoDB, Redis DB, DynamoDB, S3, Athena, Databricks ( Spark cluster hosting).Public cloud: AWS, GCPProgramming Languages: Python, JavaScript, Shell, GoCICD: Jenkins, gitlab runner.Container Technology: Docker, Kubernetes. ECS.

Experience

1. Senior Software Development Engineer

   Roku

   Sep 2017 — Present · Los Gatos, CA, US

   Developed and maintained event pipelines for Roku player, web, and mobile- Developed data pipelines that feed to recommendations system- Set up tools for TechOps for real-time debugging issues. These tools are based on Elastic Search- Kibana Pipeline- Developed CICD system based on the interactive slack client- REST API development for backend services- Developed data pipelines using ES, Athena, Kafka, and DynamoDB- Architected centralized docker log solution for AWS services and cut cost for cloudwatch logs (approx 50-100K per year)- Developed and maintained test automation infra for microservices- Developed several serverless applications that completed monitoring, autoscaling, and operational debugging tasks- Developed Infra as code applications based on cloud formation.Technology Stack- AWS : EC2, ECS, S3, Athena, Lambda, Cloud Formation, Cloud Watch, VPC- Programming Language: Python, JavaScript, Java- Databases: SQL, DynamoDB, Redis, ES, Kibana Visualization- ML / DS tools: Pandas, NumPy, SciPy, sklearn, colab notebook, keras, PyTorch, Tensorflow

Education

• San José State University

  Master of Science - MS, Computer Engineering

• The University of Texas at Austin

  Post Graduation in Machine learning and Artificial intelligence

• University of California, Riverside

  Master of Science - MS in Data Science & Machine Learning, Engineering

• Dharmsinh Desai University

  Bachelor of Science - BS, Electrical, Electronics and Communications Engineering

Skills

• Python
• Test Automation
• Testing
• C
• Selenium
• Ccna
• Ip
• Agile Methodologies
• Operating Systems
• Java
• Xml
• Cucumber
• Restful Webservices
• Apis
• Mongodb
• Selenium Testing
• Start-Ups
• Openflow
• Linux
• Api
• Ip Networking
• Http
• Tornado Web Services
• Networking
• Scrum
• Cloud Computing
• Amazon Web Services (Aws)
• Virtualization