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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLEPHONE NUMBER AVAILABLEBrooklyn, New York, NY, USALINKEDIN LINK AVAILABLEdatacamp.com/portfolio/Candidate's Name
LanguagesRussianEducationCUNY - Baruch College September 2019 - May 2020Master's, Information SystemsCUNY - Hunter College September 2013 - May 2018Bachelor's, Nutrition & Food ScienceCertificationsDataCamp Certified Data ScientistDataCamp Certified SQL AssociateDataCamp Certified AI FundamentalsCompTIA Certified Cloud EssentialsProfessional ExperienceArkDEL New York, NY, USAAI/ML Engineer November 2017 - Present Designed agent orchestration architecture that would involve multi-step problem solving capabilities for LLMs. This end-to-end design enabled the organization to more accurately retrieve relevant information from vector DB using embedding inside of a scalable RAG pipeline. Developed scalable code that leverages Langchain, Langgraph, OpenAI, Anthropic, Pinecone technologies to extend small (70B) and large (1T+) models such as LlaMa 3 70B and Claude 3.5 Sonnet & GPT-4o. Worked on managing the hallucination levels of models via advanced prompting techniques to better align with downstream tasks. Built using Python agnostic patterns in an agile team, leading rapid testing, evaluation, and implementation protocols via semantic chunking, online& offline performance measurement, response evaluation protocols, and component implementation.Testy New York, NY, USAData Scientist April 2018 - August 2023 Performed data augmentation techniques, feature engineering, data validation, measured performance on classification and regression models, and built models using deep neural nets with hierarchical data ingestion techniques. Developed data analytics tools and connected ETL pipelines using SQL and NoSQL databases to enhance system observability and domain management. Created data visualizations using Tableau and Looker, familiar with a broad range of data visualization software to aid decision-making processes. Maintained Python libraries and coded backend infrastructure. Worked on ML evaluation techniques for for offline and online evaluation. Utilized ML pipelines with MLFlow, AutoML, and Docker within CI/CD processes for efficient model training and deployment.Extended Home Care New York, NY, USABackend Engineer Intern May 2015 - June 2017 Refined Extended Home Care's backend, streamlining data cleanup and elevating relational database schemas, notably boosting database efficiency by 45% and slicing retrieval times by 30%. Managed cloud solution integration at Extended Home Care, employing AWS services to manage S3 storage buckets to enhance data availability across the organization. Strengthened Extended Home Care's cybersecurity posture with meticulous log analysis using Splunk and Nessus, effectively mitigating security breaches. Projects & Outside ExperienceOui'dily New York, NY, USAFull Stack Engineer April 2022 - November 2023 Designed and executed a data analytics framework on scalable ecommerce platforms, employing React, Node.js, and AWS. This harnessed real-time user interaction data, driving UX improvements based on deep learning models for predictive behavior analytics. Led the creation of a CBD subscription service, integrating machine learning to analyze user data and predict preferences, resulting in markedly enhanced user interaction and satisfaction levels. Managed a team to build an advanced order management system, collaborating with third-party APIs for improved data integration. Employed big data and ML models to refine payment and delivery systems, boosting operational efficiency by 30%Ark Ecosystem New York, NY, USABackend Software Engineer September 2017 - Present Co-founded a leading ARK delegate, managing assets up to $50M. Excelled in blockchain governance, enhancing stakeholder trust and financial technology adoption. Developed a robust Express.js API, facilitating user balance checks, transaction refunds, and statistics viewing, improving user experience and payout personalization. Introduced ARK True Block Weight and Faucet, revolutionizing payment flexibility and fairness through blockchain-verified allocations and secure, random token distribution.SkillsSkills: Python, Pytorch, AWS, Agile, TypeScript, MySQL, Databricks, Jupyter, Pandas, Computer Vision, Data Analysis, Datadog, Docker, Elasticsearch, FastAPI, Flask, GraphQL, JavaScript, Kubernetes, LangChain, Linux/Unix, Postman, Vercel, Tensorflow, TCP/IP, Tableau, SQL, Snowflake, Selenium, React.js, Postgres, Django, git, GCP, HTML/CSS, HTTP, Git, Pinecone, AWS Bedrock, Langgraph, OpenAI, Anthropic, LlaMa, Jenkins, AutoML, MLflow, Weights&Biases, LlamaIndex, RAG, Agents, Orchestration |
