Aakash Jadhav
About Aakash Jadhav
Aakash Jadhav is a Senior Java Developer currently working at QuinStreet, with a strong background in microservices architecture and Big Data development. He has previously held positions at LTI - Larsen & Toubro Infotech and Harbinger Systems, contributing to various software engineering projects.
Current Role at QuinStreet
Aakash Jadhav currently serves as a Senior Java Developer at QuinStreet, a position he has held since 2022. In this role, he focuses on developing and maintaining software solutions that enhance the company's offerings. His work emphasizes robust architecture and scalability, contributing to the overall efficiency of the development process.
Previous Experience at LTI - Larsen & Toubro Infotech
Before joining QuinStreet, Aakash Jadhav worked at LTI - Larsen & Toubro Infotech in various roles. He started as a Software Engineer from 2020 to 2021, then transitioned to a Product Engineer from 2021 to 2022. He also held the position of Senior Product Engineer for 9 months in 2022. His experiences at LTI involved software development and product engineering in Pune, Maharashtra.
Background in Software Engineering
Aakash Jadhav began his career at Harbinger Systems as a Software Engineer from 2019 to 2020. His foundational experience in software engineering has equipped him with skills in technical design and system architecture. He has developed expertise in creating Technical Design Documents to implement business requirements effectively.
Educational Qualifications
Aakash Jadhav holds a Bachelor of Engineering (BE) in Computer Engineering from Modern Education Society's College of Engineering, Pune, which he completed from 2016 to 2019. Prior to this, he earned a Post SSC Diploma in Computer Engineering from PDEA'S Institute of Technology, Hadapsar, from 2013 to 2016. His educational background has provided him with a solid foundation in computer science principles.
Technical Skills and Expertise
Aakash Jadhav possesses strong technical skills in microservices architecture, which enhances system modularity and efficiency. He is experienced in deploying applications using Docker and Kubernetes, facilitating efficient containerization and orchestration. Additionally, he utilizes Apache Spark for processing large datasets, optimizing data handling and analysis, which is crucial for modern data-driven applications.