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Click here or scroll down to respond to this candidateCandidate's Name
Brooklyn, NY +1 (Street Address ) 895-1444 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE Senior AI Software Engineer Open to RemoteAI Software Engineer with 12 years of experience in developing cutting-edge AI solutions for various industries. Proficient in Python, Data Science, Machine Learning(ML), Deep Learning(DL), Natural Language Processing(NLP), Computer Vision(CV) and Generative AI(GenAI).WORK EXPERIENCETekne Capital Management, LLC New York, NY 04/2023 04/2024 AI Software EngineerLed a team of data scientists and engineers in developing predictive analytics ML models to analyze market data and investor behavior in order to forecast the performance of financial assets.Developed an LLM-powered NLP financial statement automation system by conducting AI model training for sentiment analysis and text classification leading to a 20% increase in consumers satisfaction.Developed and deployed machine learning-based credit risk assessment models that cut 15 of false positives and improve the loan portfolio performance.Developed and maintained data pipelines and ETL processes using Python, SQL, and Apache Spark.Architect and optimize NLP pipelines using Python, TensorFlow, PyTorch, and Hugging Face Transformers.Implemented a Retrieval-Augmented Generation (RAG) system to automate the extraction and analysis of financial statements, enhancing accuracy and efficiency by leveraging advanced NLP techniques.Successfully integrated the RAG system with existing financial software, resulting in a 30 reduction in manual data processing time and improved decision-making capabilities.Spearheaded the development of a scalable and highly available machine learning platform on AWS, leveraging services like Amazon SageMaker, AWS Lambda, and Amazon S3, resulting in a 40% reduction in model deployment time.Scale AI San Francisco, CA 03/2019 11/2022AI Software EngineerInitiated the creation of a computer vision system for real-time detection of objects in video streams, which was able to achieve an accuracy rate of 95%.Used NLP to develop LLM-powered chatbots by training them on large medical knowledge databases to help patients find information about symptoms, conditions, medications, and treatment options.Used GenAI to develop an NLP Clinical Documentation Assistance system to help healthcare professionals generate accurate and comprehensive clinical notes, reducing the time and effort required for documentation.Led a team of engineers in the design and implementation of a computer vision-based quality inspection system on Microsoft Azure, achieving a 25% improvement in defect detection accuracy.Led the development and deployment of a computer-assisted diagnosis system that leveraged deep learning algorithms to analyze medical images, resulting in a 20 improvement in early detection and a 15 reduction in misdiagnosis rates.Developed and improved conversational AI algorithms for various applications, including customer service, e- commerce, and enterprise productivity.Developed and improved computer vision algorithms for various applications, including gesture recognition, 3D reconstruction, and video surveillance.OpenAI San Francisco, CA 01/2016 10/2018Data ScientistBuilt a ML healthcare monitoring system to identify unusual patterns in patient vital signs to detect early signs of medical conditions and architected scalable AI models supporting AI-based applications, handling over 100 million requests per day, resulting in improved system performance.Developed and optimized computer vision models for an automated visual inspection system, achieving a 25% improvement in defect detection accuracy and a 50% reduction in inspection time.Developed and optimized natural language processing models for a conversational AI assistant, deployed on AWS Lambda and Amazon Lex, delivering a 30 increase in user engagement.Developed and improved machine learning algorithms for various applications, including predictive analytics, recommendation systems, and anomaly detection.Performed data mining and analysis on large datasets using R, Python, and SQL to uncover insights and trends.Presented data-driven insights to stakeholders through comprehensive reports and visualizations using Tableau and Power BI.Implemented and fine-tuned GANs and VAEs, achieving significant improvements in model performance and output quality.Nvidia Santa Clara, CA 01/2013 12/2015Software EngineerDeveloped intuitive user interfaces for AI-powered applications using React and Angular, resulting in a 40% increase in user engagement and satisfaction.Implemented data visualizations and dashboards to present AI insights and analytics in a clear and intuitive manner, enhancing user understanding and decision-making.Integrated AI models into backend services using the Python frameworks Flask and Django.Conducted A/B testing and statistical analysis to guide product development decisions, leading to a 10 increase in user engagement.Managed databases for storing and processing extensive text data.Assisted in the deployment and maintenance of machine learning models on cloud platforms. EDUCATIONNew York University New York, NY 09/2008 04/2012 Bachelors Degree in Computer ScienceSKILLSPython Flask Django (12 years) TensorFlow PyTorch Keras (7 years) OpenCV NLTK (10 years) GenAI SpaCy Transformer (5 years) LLM (3 years) RAG (1 year)Javascript HTML CSS (12 years) Node.js React Angular Vue (10 years) C# .NET .NET Core ASP.NET (7 years) SQL MongoDB PostgreSQL (12 years) AWS EC2/ECS/Beanstalk/Lambda/SageMaker (7 years) Azure ML/OpenAI/Cognitive Search (5 years) Google Cloud Platform (10 years) Git Github Gitlab Bitbucket (12 years) C/C++ QT (10 years) Java Spring Boot (5 years) Ruby Ruby on Rails (7 years) PHP Laravel (9 years) Docker Kubernetes (6 years) Linux (12 years) |
