| Certification | Issuer | Year |
|---|---|---|
| π Cisco DevNet Associate | Cisco | 2021 |
| π CCNAv7: Introduction to Networks | Cisco | 2021 |
| π Kali Linux Essential Training | LinkedIn Learning | 2025 |
| π C++ Essential Training | LinkedIn Learning | 2024 |
| π SOLID Design Principles | LinkedIn Learning | 2024 |
| π Software Design with UML | LinkedIn Learning | 2024 |
| π UX Design for Developers | LinkedIn Learning | 2024 |
| π C Programming Basics | LinkedIn Learning | 2024 |
| Area | Focus |
|---|---|
| π§ Automation Tools | Python-based workflow automation scripts |
| π‘ Networking Utilities | Socket programming, diagnostic tools |
| π€ AI/ML Learning Resources | Tutorials and sample implementations |
| π‘οΈ Open Source Compliance | ORT, FOSSology contributions |
| π Cybersecurity Tools | Security scanning & compliance scripts |
| Role | Achievement |
|---|---|
| π€ Workshop Coordinator | Technical events during college |
| π₯ Class Representative | Demonstrated leadership & communication |
| π§ Active Learner | Continuously sharing knowledge through code |
Let's Connect
** GitHub Analytics **
---class AbhishekReddy:
def __init__(self):
self.role = "Associate Software Engineer"
self.expertise = ["Automation", "AI/ML", "OSS Compliance", "Cybersecurity"]
self.mastering = [
"π¦ LangChain & Agentic AI workflows",
"π§ RAG architecture & Vector Databases",
"β‘ Production-ready LLM deployment",
"βοΈ Cloud-native AI services",
"π Advanced Cybersecurity practices"
]
self.contributing_to = [
"π¦ OSS Review Toolkit (ORT)",
"π Python automation libraries",
"π Qt open-source projects",
"π‘οΈ Security compliance tools"
]
self.learning_roadmap = "2025: GenAI Specialist β 2026: AI/ML Engineer"
def daily_grind(self):
return "Code Β· Automate Β· Secure Β· Learn Β· Repeat π"
me = AbhishekReddy()
print(me.daily_grind())