Amit Kumar

About Amit Kumar

15+ years’ experience in Data Science & Engineering & Machine learning• Experienced with Designing & and implementing scalable, end-to-end CI/CD pipelines using GitHubworkflow Actions, Terraform, and AWS Infrastructure in DevOps & MLOps. • Profound programming skills with Algorithms, Statistics, Predictive Modeling, Machine and DeepLearning (Classification, Regression, and Clustering), Data Mining, and Natural Language Processing.• Skills and ExpertiseExpert: Python, AWS, Terraform, Git and CI/CD, Data Engineering & Machine Learning, Intermediate: Java, PERL, and MATLAB, Docker, Kubernetes, Deep Learning, KafKa, DatabricksBeginner: Scala, HTML5, CSS, JavaScript • Key Tech & Tools used• AWS Services: EC2, Lambda, ECS, EKS, S3, Glue, Athena, Step Functions, DynamoDB, VPC, Route 53, IAM, KMS, SageMaker, CloudWatch, CloudTrail• ETL & Data Pipelines: AWS Glue, Apache Airflow, Pentaho, Snowflake, Apache Spark• Big Data & Databases: Databricks, MySQL, PostgreSQL, MongoDB, Elasticsearch, Hadoop• Infrastructure as Code: Terraform, CloudFormation, Docker, Kubernetes, Jenkins, Linux• CI/CD & DevOps: GitHub Actions, Jenkins, AWS Code Pipeline, Code Build, Code Deploy, Kubernetes• Programming: Python (NumPy, Pandas, PySpark, Boto3, FastAPI, Pydantic, Requests, Scikit-learn, PyTorch, Keras, NLTK, Plotly, Matplotlib), SQL, Java, MATLAB, Perl, R programming• Certifications and Training• AWS Certified Machine Learning Specialty 2022 – Udemy March 2022• AWS Certified Developer Associate 2022 – Udemy February 2022• Deep Learning from NPTEL and IIT Madras. October 2018• Persistent certified Agile Scrum Master and Project Management kit(Defects, Risk, Cost Management)

Experience

1. Technical Architect

   Perficient India

   Apr 2025 — Present

Education

• Jawaharlal Nehru University

  Advanced Post Graduate Diploma in Bioinformatics, Biomathematics, Bioinformatics, and Computational Biology

• Harcourt Butler Technical University

  Bachelor of Technology (B.Tech.), Biochemical Engineering

• Indira Gandhi National Open University

  Post Graduate Diploma in Applied Statistics (PGDAST) , Mathematical Statistics and Probability

Skills

• Machine Learning
• Scikit-Learn
• Linux
• Docker
• Biochemical Engineering
• Scala
• Hadoop
• Protein Chemistry
• Mapreduce
• Vagrant
• Matlab
• Javascript
• Genetics
• Responsive Web Design
• Mongodb
• Molecular Biology
• Large-Scale Data Analysis
• Python
• Bootstrap
• Perl
• Data Science
• Java
• Data Analysis
• Functional Genomics
• Windows Azure
• Boolean Modeling
• Apache Spark
• Data Mining
• Cloud Computing
• Science
• Biochemistry
• Programming
• R
• Jquery
• Bioinformatics
• Transcriptomics
• Sequence Analysis
• Computational Biology
• Biological Networks
• Fermentation