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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedIn GitHubSKILLS Languages: C#, Python, Java, HTML, CSS, JavaScript, Ruby, Shell, Bash, Go, Scala Cloud: AWS( CDK, CloudWatch, DynamoDB, EC2, IAM, Lambda, Redshift, S3, RDS) Databases: NoSQL (MongoDB, DynamoDB), RDBMS (MySQL, PostgreSQL) Tools: Docker, Jenkins, JIRA, RESTful APIs, Terraform, Microservices, Git, Power Query Frameworks: Laravel, .NET, React, Node, Spring, Angular, Django, PyTorch, TensorFlow Operating Systems: Windows, Unix, Linux (Kernel) EXPERIENCEScale AI Austin, TexasSoftware Engineer - AI Specialist January 2024 April 2024 Fine-tuned GPT-4 model and data parameters through BERT iteration and various NLP techniques, resulting in a 35% increase in model accuracy. Diligently curated and analyzed datasets for Open AIs ChatGPT, Meta Llam2 LLMs, enhancing model accuracy and reducing preprocessing by 50%. Employed programming languages like Java, Python, TypeScript, SQL, and C# to intricate code snippets challenging LLM model comprehension. Leveraged Node.js alongside Python in serverless environments to build scalable AI solutions, optimizing resource usage by 30%. Facilitated OpenCV and TensorFlow Object Detection API to enable object recognition and image classification capabilities in AI applications. Vizient Dallas, TexasSoftware Analyst August 2023 - January 2024 Developed API endpoints with Node.js and API Gateway, enhancing microservices architecture and improving data exchange reliability by 15%. Developed and optimized Single-Page Applications (SPA) using Angular, TypeScript, CSS, and HTML, improving page load times by 30%. Automated ETL processes using AWS Glue and Python, leading to a 50% increase in data processing efficiency. Integrated AWS CDK with existing CI/CD pipelines, enhancing deployment efficiency by 30% and reducing manual configuration errors. Pioneered a data-driven strategy for cloud optimization by implementing impactful KPIs, resulting in an 80% surge in operational efficiency. Simplified integration processes by implementing TDD and automated testing practices resulting in 70% fewer post-deployment issues. Amazon Web Services Arlington, VirginiaSoftware Development Engineer July 2022 - July 2023 Spearheaded a 98% migration rate in 32 regions within 3 months by executing a credential migration using Java, Ruby, IAM, EC2, Linux, and Git. Reduced latency and storage costs by 40% in 4 regions by designing and deploying S3 services using AWS CDK, CloudFormation, and DynamoDB. Collaborated with a cross-functional team, and automated operational procedures by 30% during the AWS Automation Week Challenge. Streamlined project quality by authoring two Operational readiness reviews and service documentation, attaining a 15% improvement in SLAs. Amplified daily release frequency from 8 to 14 by automating release processes, including AWS CodePipeline (CI/CD), Docker, and Jenkins. Engineered service dashboards with 100+ metrics for troubleshooting and monitoring system health using Grafana, CloudWatch, CSS, and JIRA. Ensured uninterrupted system availability by participating in the On-call PagerDuty support rotation, resolving 50+ critical incidents per week. Championed Infrastructure as Code (IaC) adoption with Terraform, automated AWS provisioning, and enhanced operational efficiency by 58%. Triad Techno Services Hyderabad, IndiaSoftware Developer September 2018 October 2020 Integrated JSON and XML data feeds from external APIs into internal systems, resulting in a 50% improvement in data exchange efficiency. Improved data handling efficiency by integrating Azure SQL Database with internal applications, boosting system performance by 20%. Employed SQL and Python for data querying and processing, enhancing data pipeline efficiency and reducing query execution time by 20%. Implemented data warehousing strategies using Amazon Redshift, leading to a 50% improvement in query performance. Applied Agile-Scrum development methodologies to enhance project adaptability, securing a 40% reduction in project timeline fluctuations. Optimized Python code performance by identifying bottlenecks, resulting in a 25% reduction in execution time for critical components. ACADEMIC PROJECTSWeb Application Development December 2021 Led the development of a university-sponsored web app, serving 10,000 weekly users, fostering a 30% increase in page speed. Architected a chatbot with WebSocket and Node.js, integrated a WordPress blog, and incorporated 20+ Figma wireframes for admin updates. Formulated user interfaces using Python, Laravel, Node.js (back-end) HTML, CSS, and React.js (front-end) to boost user retention by 37%. E-commerce Database Infrastructure Enhancement June 2020 Created and launched a distributed database for an app, reducing query response times by 40% and enabling scalability for a vast user base. Employed MySQL for relational data management and MongoDB for scalable NoSQL storage, resulting in a 20% increase in user traffic Established sharding and replication strategies, achieving 99.99% uptime, enabling scaling for increased user demand with JDBC and OData. EDUCATION Master of Science, Computer Science The University of Texas at Arlington, Texas - 3.7/4.0 May 2022 Bachelor of Science, Computer Science, Statistics Osmania University, India - 3.6/4.0 June 2018 CERTIFICATIONS Advanced Software Engineering Simulation Walmart Global Tech July 2024 Programming with JavaScript Meta December 2023 AWS Certified Cloud Practitioner Amazon Web Services September 2023 |
