An experienced AI developer with over four years of expertise in building and deploying scalable, robust, and testable machine learning solutions with attention to detail. Proficient in the full AI development lifecycle including system architecture and database design, microservices development and integration and CI/CD pipelines with ability to work effectively in a collaborative environment. Adept at working in dynamic, cross-functional environments having excellent storytelling and communication skills.
SKILLS
Programming - Python, R, C, C++, JavaScript, SQL, HTML & CSS
Data Science - Descriptive analysis, Exploratory Data analysis, Predictive analysis, Prescriptive analysis, Diagnostic analysis, Inferential analysis, Regression and Factor analysis
Machine learning operations- algorithms, Supervised and unsupervised learning, Deep learning, Reinforcement learning, Transformer based models, natural language processing, Large Language Models, Streaming based, Continual Learning, Model Retraining, Generative models, BERT
Data Visualization and Dashboarding - matplotlib, seaborn, plotly, dash, streamlit, google charts, PowerBI
Mathematics and Statistics - Linear algebra, calculus, probability theory, bayesian methods, statistical tests, hypothesis testing
Database Management - SQL (PostGres, MySQL), NoSQL (MongoDB), Data migration pipelines, Data Modeling, Data Warehousing, ETL Processes
Data Engineering - Apache Spark, Scala, AWS S3, Glue, Kinesis, BigQuery, Data Warehouse (Amazon Redshift) Automation (UI path)
MLOps stack - Weights and Biases (experimentation platform), Ray (model training), Flyte (ML workflow orchestration), BentoML (model serving)
DevOps - Version Control, Git, MLFlow, Docker, GitLab CI - CI/CD Pipelines, Continuous monitoring using Grafana System diagnostics and testing, Deployment process (Heroku, Google Cloud Run)
Cloud Computing - AWS, Google Cloud
Computer science - Procedural Programming, Object Oriented Programming, System Architecture Design, Unit testing, Logging, Debugging, AGILE oriented development, Jira, Confluence, Parallel Programming frameworks, code reviews, distributed systems, Asynchronous calling frameworks, caching
Soft skills – Decision optimization, Conversion of insights and directing decisions into dollar value, Fast learner,
Emotional intelligence, translation of technical evaluation and results in layman terms, excellent problem solving
skills within given resources and time, leadership and mentorship skills with adaptability, time management and
negotiation skills, critical thinking and efficient conflict resolution, creativity, project management
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