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Click here or scroll down to respond to this candidateCandidate's Name
Syracuse, NY Linkedin Github G Scholar PHONE NUMBER AVAILABLE EMAIL AVAILABLE PortfolioEDUCATIONSyracuse University - College of Engineering & Computer Science, Syracuse, NY Aug 2022 - May 2024 Master of Science in Computer Science (3.7 / 4 CGPA). EXPERIENCESoftware Engineer Co-Op, Boehringer Ingelheim - Legal Services, Ridgefield, Connecticut Jan 2024 - Present Directed the overhaul of ETL pipelines, transitioning from DAG to YAML to enhance deployment of AWS EMR Spark jobs on Cassandra to S3, Snowflake, resulting in a 30% improvement in processing efficiency. Orchestrated the integration of SAP data with Hadoop ecosystems, to monitor manufacturing processes. Utilized PySpark ETL pipeline to process and analyze complex datasets, improving speed of research by 35%. Delivered Service Map project on Graph Network Visualizations of 80+ Microservices within organization based on failure dependency with 5+ levels of environments and severity automate deployments in server downtime and crashes. Automated the secure transfer of data from Fusion web to PostgreSQL database using Ansible scripts, enhancing data integrity and accelerating database update cycles by 40%.Software Developer, Precise Software Solutions Inc - Cloud, Maryland, USA Jun 2023 - Aug 2023 Architected cloud-based applications on AWS platforms; collaborated with cross-functional teams to deliver solutions hence system performance by 50%, diminished application response time by 20%, and achieved cost savings of 40%. Leveraged workflows using MLflow and Jenkins CI/CD; defined Docker images, AWS SageMaker training, and S3 model storage, resulting in a 30% reduction in deployment errors. Composed cloud infrastructure management by implementing Infrastructure-as-Code (IaC) tools such as Terraform and CloudFormation, achieving consistent deployment of cloud resources and optimizing application development and maintenance while reducing deployment time by 40%.Software Application Developer, Metis Consulting Group, New York, USA Sep 2022 - May 2023 Led a team of engineers to craft a backend suggestion engine employing Go, Elasticsearch, achieving an 80% reduction in monthly costs, and ensuring rapid data fetch with an average latency of 2 ms/request. Achieved a 90% reduction in application latency by leveraging LRU Caching, Redis Cache; eliminated frequent SQL, DynamoDB queries, harmonized messaging queue for real-time Datadog visualization for 10+ teams. Innovated a high-performance, thread-based utility using Golang, which drastically controlled project build time from 11 minutes down to 2 minutes, paving the way for enhanced development efficiency, particularly for the low code/no code platform. Software Engineer, Bharat Gears Ltd, Mumbai, India May 2021 - May 2022 Crafted an efficient inventory management system leveraging React and Node.js, bolstered by TDD practices and integrated with AWS for a 30% boost in operational performance and scalability. Ensured end-to-end security by incorporating OAuth, HTTPS protocols, and applying OWASP security principles; Elevated website performance through strategic use of caching with Redis, leading to a 60% improvement in page load times experiences. Spearheaded integration of Go-routines and channel-based synchronization techniques to transform core inventory system, increasing transaction throughput by 40% and enabling precise tracking of gear manufacturing workflows. PROJECTSGraph Analytics Lead Research: Python Graphs Machine Learning LLM. Serviced GNN architectures (GCN, GAT, GATv2, GraphSAGE) into the library, driving advancements in graph analysis for data; optimized memory usage by 60% and enabled real-time decision-making. Led development graph clustering algorithms like Node2Vec and DeepWalk, including Spectral Clustering and Louvain methods, optimizing community detection accuracy by 20% and enabling more precise analysis of complex datasets. Stream-Sphere - A Next-Gen Streaming Platform Deployment: Reactjs MongoDB OWASP REST Docker Kubernetes SonarQube Trivy. Overhauled deployment strategy, utilizing a modern tech stack including React.js and MongoDB, orchestrated containerization with Docker and Kubernetes, which streamlined release processes; slashed deployment times by 40%. Enhanced code quality by integrating SonarQube and Trivy in the CI/CD pipeline, maintaining a 0% critical vulnerabilities rate for six months, ensuring robust security standards and protecting sensitive data integrity. RAIT Coding Platform: Reactjs MongoDB Typescript Nodejs CSS Reactjs Nodejs SQL. Developed a web application for university where faculty can upload assignment questions and students need to complete, resulting in a 95% reduction in cheating incidents and an overall increase in student engagement and satisfaction. Added an analytics dashboard to the RAIT Coding Platform with React.js and Node.js, offering faculty instant access to student performance data, aiding in personalized course content, and improving course completion rates by 40%. TECHNICAL SKILLS CCNA: Enterprise Networking, Security and Automation, AWS Certified Graduate: Solution Architect, Developer. Languages: Python, Java, JavaScript, .Net, C++, R, DNS, UNIX, PHP, Groovy, GraphQL, C#, PERL, Ansible, RabbitMQ, DAX. Databases: MySQL, MongoDB, PostgreSQL, MariaDB, NoSQL, CassandraDB, DynamoDB, OracleDB. AWS: EC2 Instance, Sagemaker, Cloudwatch, S3 Bucket, Lambda, Elastic Container Registry, Athena, Lightsail, ElastiCache, Beanstalk. Others: Kafka, Github, Tableau, CI/CD, Spark, Linux, Android Studio, DevOps, PowerBI, Puppet, Pytorch, Hadoop, TensorFlow. Data Visualization Tools: Tableau, Microsoft Power BI, Quilk Sense, SAP BusinessObjects, R, Grafana, Google Charts, Prometheus. |
