Dileesh C. Aluri

Engineering Leadership | Platformization | Product | Software Development | Full-Stack | Micro-services | AI/ML | DevOps | MLOps | SRE | AWS | Azure | GCP | Virtualization | Networking

Role
Principal Software Engineer at Palo Alto Networks
Location
Santa Clara, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Dileesh C. Aluri

With my forte being \"Solving real-world problems with technology and its applications to deliver impactful product and solutions to users at a larger scale\", my ambitions and interests are aligned appropriately to achieve the same.I\'m a multi-disciplinary software development enthusiast who enjoys making and breaking things, with an eye to accurately gauge and present what\'s involved in, what it takes to build a product and what is causing to break it, finding and following the trail to the root-cause as we say it. With this mindset, I can say that I possess all the qualities of a key contributor in building and delivering robust and reliable software products, from architecting to delivery and deployment while leading from the front.I hold a multi-disciplinary \'Masters of Science\' degree from three different schools, College of Computer & Information Science, College of Engineering, and D\'Amore McKim School Business from Northeastern University, and a \'Postgraduate program in Artificial Intelligence and Machine Learning\' from the University of Texas - Austin, McCombs School of business.My experience and expertise can be explored in my profile below.Python Developer | ML Model Development, Training & Testing| AI/ML Model Deployment | Exploratory Data Analysis | Framework Development | Full-Stack Web | Cloud - AWS,GCP | End-End Network Simulation | Routing and Switching | Packet Core | SDN | NFV | EPC | Network AI | Network ML | DevOps | CI/CD | AGILE

Experience

  1. Principal Software Engineer

    Palo Alto Networks

    Mar 2024 — Present · Santa Clara, CA, US

    Leading engineering initiatives focusing on building automation frameworks to deliver highly scalable, robust and reliable cloud-native network security solutions across multi-cloud architectures for Palo Alto Networks NetSec R&D Prisma SASE Products – Strata Cloud Manager, Strata Logging Service, Cortex Data Lake, AI Runtime Security, Firewall in-Line Services(Prisma Access/NGFW/VMFLEX/Cloud NGFW/ AI-NGFW)Stack: Python3, GCP (GKE, Pub/Sub, Dataflow, BQ, Cloud SQL), AWS (Kinesis, Lambda, EC2, RDS, DynamoDB, Athena), Distributed Systems, Streaming, Avro, Protobuf, Playwright, Kafka, Docker, Kubernetes, Helm, CI/CD, Argo CD, Grafana- Designed and implemented advanced testing strategies for cloud-based security services, focusing on functionality, data integrity, performance, and scalability- Developed methodologies for scaling Kafka log processing by experimenting with Brokers and Partitions, and provided metrics to tune optimal High Availability Pod Autoscaler settings- Engineered automation frameworks to handle log ingestion ranging from 100K to 100M logs, integrating with GCP Pub/Sub, AWS Kinesis, and Lambda functions for reliable log storage- Developed a testing framework to simulate an ingestion rate of 2M logs per second across firewalls, assessing the performance, reliability, and scalability of the logging infrastructure- Identified and resolved critical design flaws in data aggregation logic, enhancing the accuracy of threat and traffic data across time-filtered views- Investigated and resolved high-priority customer-reported issues through root cause analysis and scalable automation- Built automation for validating multi-cloud deployments, including tenant onboarding, service integration, and regional infrastructure rollout- Led the resolution of customer-found defects by deep debugging, log tracing across cloud components, and collaborating with SRE and product teams.

Education

  • Vellore Institute of Technology

    Bachelor of Technology, Electronics and Communication Engineering

    2008 — 2012

  • Texas McCombs School of Business

    Post Graduate program, Artificial Intelligence and Machine Learning: Business Applications

  • Northeastern University

    Master's degree, Computer Systems Networking and Telecommunications

    2012 — 2014

Skills

  • Network Function Virtualization
  • C++
  • Docker
  • Cisco Ios
  • Ns2
  • Cdma
  • Wireshark
  • Communication Skills
  • Digital Photography
  • Java
  • Cisco Routing & Switching
  • Dns Management
  • Object Oriented Design
  • Stp
  • Cdp
  • Windows
  • Routing Protocols
  • Matlab
  • Wireless Networking
  • Firewalls
  • 3g
  • 4g
  • Ethernet
  • Bgp
  • Cdn
  • Team Management
  • Unix Shell Scripting
  • Events Organizer
  • Html
  • Opnet
  • Microsoft Office
  • Photoshop
  • Esxi
  • Vtp
  • Subnetting
  • Network Security
  • Frame Relay
  • Solidworks
  • Eigrp
  • Linux

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