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Click here or scroll down to respond to this candidateCandidate's Name
Brooklyn, NY EMAIL AVAILABLE PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLE github.com/Candidate's Name 3012 SUMMARYSoftware Engineer and Machine Learning practitioner developing robust applications and AI-driven solutions.Proficient in Python, building full-stack applications using frameworks like Django, Flask, Node.js, and AngularJS.Expert in machine learning and deep learning algorithms including Transformers, Computer Vision, NLP, LLM system.Excellent in Python to manipulate data for data loading and extraction and worked with Python libraries like NumPy, Matplotlib, Pandas, SciPy, Scikit-learn, Seaborn, OpenCV, Keras, PyTorch and NLTK.Managed AWS cloud resources like EC2, S3, EKS, Elastic Load Balancer, RDS, SQS, SNS, Route53 and IAM. SKILLSLanguages/Frameworks:Python, JavaScript, Django, Flask, NodeJS, AngularJS, Streamlit, LangChain, LLM, GraphQL Database:SQL Server, MySQL, MongoDB, Oracle, PostgreSQL,IBM DB2, Hadoop Libraries:TensorFlow, SciPy, NLTK, Scikit-learn,Seaborn, NLTK, PyTorch, Keras, OpenCV Cloud Technology:AWS (S3,EC2,EKS,Elastic Load Balancer,RDS,Lambda,Lex,DynamoDB),Google Cloud Platform (GCP), Azure (Table, Blob), Firebase, Docker, Kubernetes, Salesforce Tools:Git, JIRA, Selenium, Postman, Agile, Tableau, MS Excel, GitLab CI/CD EDUCATIONMaster of Sciencein Computer Engineering New York University, NY, USA GPA:3.93 / 4.00 Expected Dec 2024 Bachelor of Engineeringin Computer Engineering Pune University, India GPA:9.12 / 10.00 May 2020 WORK EXPERIENCESoftware Developer Engineer InternThales Digital Identity and Security, CA May 2024 Aug 2024Achieved a 30%reduction in build and deployment times by optimizing CI/CD processes using Helm for efficient Kubernetes resource management, and implementing parallel job execution with GitLab Runner.Enhanced the reliability and scalability of the CI/CD pipeline by automating deployment workflows and integrated Prometheus and Grafana for monitoring and visualization, ensuring better performance and early detection of issues.Decreasedpipelineexecutiontimefrom40hoursto10hoursbyautomatingenvironmentsetup,optimizingdependency management using DAG, and efficiently allocating resources for Python-based CI jobs using custom Docker images. Research AssistantNew York University, NY Jul 2023 PresentDevelopedandmanagedETLprocessesforNYU'sCANOresearchproject,mentoredbyProf.BryantMoy,utilizingweb scraping techniques on various websites to gather over 3M records spanning 10+ types of sources.Employed Python andGCPserviceaccounttoparse,validate,andstorelargePDFdocumentsintoasharedrepository, ensuring 99% precision and streamlined access for collaborative research.Leveraged LLMs like Gemini and OpenAI,integrated with LangChain and Pydantic,to parse and classify scraped documents into categories, using a guide as context and few-shot learning to identify CANO. Member of Technical StaffCoriolis Technologies Pvt. Ltd Apr 2021 Dec 2022Designed and implemented a data generation framework to simulate sensitive data patterns across 17+datastore platforms (AWS, GCP, Azure, Hadoop, etc.), enabling bulk data insertion and enhancing product accuracy by 30%.Led a dynamic framework for automating product upgrade/downgrade workflows across multiple product suites, optimized using Python multiprocessing and Linux job scheduling, achieving a 40% reduction in manual intervention.Built a full-stack tool using Node.js,AngularJS,andPythonRESTAPIforthemanagementof100+virtualmachines across various hypervisors, optimizing virtual infrastructure management with scalability and enhanced performance. Software Trainee EngineerSoftlink International Private Ltd Nov 2020 Mar 2021Contributed to the development of 2 products in Python using Agile methodologies, resolving over 50 issues.Developed 20+custom SQL scripts and automation tools in Django to mitigate repetitive tasks,ensuring seamless product working.Implementedamicroservicesarchitecturetodecouplecomponentsandimprovescalability,achievinga35%reductionin system downtime during peak traffic periods.PROJECTSStudent LeaseDeveloped a full-stack platform for student housing transitions,offering sublet listings,peer communication,and personal item sales, using Node.js, React.js, DynamoDB, Lambda, SQS, S3 for scalable and fault tolerant application.Integrated a content-based filtering recommendation engine using Transformers and DistilBert embeddings stored in AWS OpenSearch hosted on EC2 using Flask and Nginx, ensuring fast data retrieval and relevant sublet suggestions.Implemented a real-time chat system using WebSocket API,along with an asynchronous event-driven architecture utilizing AWS services like SQS and Lambda to optimize performance, reduce latency, and handle high traffic. WeatherWiseSpearheadedthedevelopmentofanintelligentweather-baseddecision-makingappusingPython,LLM,LangChainand OpenAI, integrated with Google Custom Search Engine, and Open Weather Map API to improve the accuracy by 40%ImplementedStreamLitforuser-friendlyinterface,deliveringcomprehensiveweatherinformationandcontributingtoa 15% growth in user retention. |
