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Mayank Ahuja

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'Exploring AI SaaS - Tinkering, Testing, Learning' As a technology enthusiast, I find immense joy in delving into new technologies and, more importantly, sharing the knowledge I gain with others every single day. About Me: ๐Ÿ”ธ A dynamic Team & Technical Lead, I thrive in collaborative environments, where I can lead and contribute as an individual to the team's success. ๐Ÿ”ธ My expertise spans a wide array of projects, from web-based endeavors as a skilled Full Stack Developer to Java backend projects as a Backend Developer, and even complex Big Data initiatives as a proficient Data Engineer. ๐Ÿ”ธ With an in-depth understanding of the end-to-end software development lifecycle, including Agile methodology and CI/CD practices, I consistently deliver efficient and scalable solutions. ๐Ÿ”ธ Building distributed systems is my forte, leveraging cutting-edge technologies to create robust and scalable architectures. Key Technical Strengths: ๐Ÿ”น My proficiency in Data Structures & Algorithms forms the bedrock of my problem-solving abilities, enabling me to tackle complex challenges head-on. ๐Ÿ”น I am well-versed in programming languages such as Java and Python, harnessing their power to craft elegant and efficient code. ๐Ÿ”น My Big Data expertise includes mastery of Spark, Kafka, HDFS, Hive, HBase, and Flume, enabling me to process vast amounts of data with ease. ๐Ÿ”น I excel in CI/CD practices, utilizing tools like Docker, Kubernetes, Red Hat Openshift, Jenkins, and GIT to ensure seamless and automated workflows. ๐Ÿ”น I am well-versed in various frameworks, including Spring Boot for Microservices and Spring Batch, alongside my proficiency in Angular for crafting dynamic user interfaces. ๐Ÿ”น My database prowess extends to MySQL, Oracle, and Cassandra, as well as HBase, ensuring optimal data storage and retrieval. ๐Ÿ”น As a 5x Certified Microsoft Azure Engineer, I possess comprehensive cloud expertise, enabling me to architect and deploy scalable solutions. I approach my work with boundless passion, consistently seeking to surpass expectations through continuous learning, exploration, and contributions that make a difference. I look forward to connecting with like-minded individuals and exploring new opportunities to make a positive impact. Let's connect and explore exciting possibilities together! ๐Ÿค

Check out Mayank Ahuja's verified LinkedIn stats (last 30 days)

Followers
133,619
Posts
1
Engagements
1,910
Likes
1,687

Mayank Ahuja's Best Posts (last 30 days)

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5 practical AI books worth reading โœฏ ๐€๐ˆ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐  by Chip Huyen โžซ Comprehensive guide for building AI applications with foundation models, covering system design, deployment, and scaling. โœฏ ๐“๐ก๐ž ๐‹๐‹๐Œ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ'๐ฌ ๐‡๐š๐ง๐๐›๐จ๐จ๐ค by Paul Iusztin and Maxime Labonne โžซ Practical manual for LLM development covering data engineering, fine-tuning, RAG pipelines, and production deployment with AWS implementations and downloadable code. โœฏ ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐  ๐‹๐‹๐Œ๐ฌ ๐Ÿ๐จ๐ซ ๐๐ซ๐จ๐๐ฎ๐œ๐ญ๐ข๐จ๐ง by Louis-Franรงois Bouchard and Louie Peters โžซ Focuses on deploying LLMs in production environments using prompt engineering, fine-tuning, and RAG techniques for scalable AI applications. โœฏ ๐๐ฎ๐ข๐ฅ๐ ๐š ๐‹๐š๐ซ๐ ๐ž ๐‹๐š๐ง๐ ๐ฎ๐š๐ ๐ž ๐Œ๐จ๐๐ž๐ฅ (๐Ÿ๐ซ๐จ๐ฆ ๐’๐œ๐ซ๐š๐ญ๐œ๐ก) by Sebastian Raschka, PhD โžซ Teaches building transformer-based LLMs from the ground up using PyTorch with examples designed to run on ordinary laptops. โœฏ ๐‡๐š๐ง๐๐ฌ-๐Ž๐ง ๐‹๐š๐ซ๐ ๐ž ๐‹๐š๐ง๐ ๐ฎ๐š๐ ๐ž ๐Œ๐จ๐๐ž๐ฅ๐ฌ by Jay Alammar and Maarten Grootendorst โžซ Features over 275 custom illustrations and working code examples with a visual approach to make LLM concepts accessible. #ai #llm #rag #python #books


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