Akhil Reddy Burri — DevOps Engineer
I am a Systems Engineer with a multi-disciplinary background focusing on the architecture and optimization of distributed systems. My approach to engineering is defined by a holistic understanding of the technology stack from OS kernel debugging and low-level networking to cloud-native orchestration and high-level machine learning algorithms. My technical foundation was established through a rigorous 5-year Integrated M.Tech program, where I mastered core Computer Science principles and Linux systems programming. Recognizing the critical importance of operational agility, I supplemented my academic curriculum with an intensive external specialization in DevOps. This independent initiative allowed me to gain production-grade expertise in infrastructure automation and CI/CD workflows, effectively bridging the gap between software development and operational stability. Throughout my career, I have engaged in R&D-focused initiatives that demanded deep technical versatility, ranging from network acceleration using kernel-bypass technologies to designing privacy-preserving computational methods. Currently, I operate as a Systems Engineer driving the technical evolution of a critical reporting ecosystem. I am responsible for transitioning high-volume reporting and data workflows from rigid legacy constraints into a resilient, Spark-based platform in Scala and PySpark. While the core objective is to modernize how business insights are generated, my impact extends beyond the code. I actively leverage my Full-Stack Web Development and AI expertise to build custom internal tooling creating intelligent utilities that automate complex team workflows and accelerate the engineering lifecycle. I thrive in environments where I can look past the immediate ticket to solve the deeper systemic challenges.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Data Engineering and AI solutions.
Location: Hyderabad, Telangana, India
Experience: 1 yr 1 mo
Skills
- Big Data
- Machine Learning/artificial Intelligence
- Microservices
- Kubernetes
- Federated Continuous Learning
- Data Science
- Networking
- Web Development
- Devops
- Cloud Computing
- Database Design
Career Highlights
- Expert in transitioning legacy systems to modern architectures.
- Proficient in both AI and DevOps methodologies.
- Strong background in distributed systems and data engineering.
Work Experience
Tata Consultancy Services
Systems Engineer(AI and Big Data) (1 yr 1 mo)
Marvell Technology
Software / Firmware Engineering Intern (10 mos)
Institute for Development and Research in Banking Technology (IDRBT)
Federated Continuous Learning Intern (1 mo)
Solutions Adda
Machine Learning Intern (3 mos)
University of Hyderabad
Application Developer (1 mo)
Continuum Innovations
Associate Cloud Engineer (2 mos)
FoodByChoice
Back End Developer (2 mos)
Education
Integrated Master of Technology - 5 years at University of Hyderabad
HSC/Intermediate at Narayana Junior College
SSC/10th Standard at St. Alphonsus' High School, Nalgonda