Headline

Full Stack | AI/ML | Cybersecurity | Python • Java • SQL • Azure | Azure AI-900 + IBM Certified |

About

I build cybersecurity products focused on security automation, threat intelligence, domain intelligence, and attack surface monitoring. As a Cybersecurity Product Developer at Cyfirma, I work with cybersecurity architects, analysts, and engineering teams to research, design, and develop automation for complex security workflows. I’m interested in understanding how threats evolve, how malicious infrastructure changes, how suspicious domains emerge, and how security teams can continuously monitor an expanding attack surface. My work takes problems through: RESEARCH → RECONNAISSAINCE → INTELLIGENCE → EXPERIMENTATION → VALIDATION → ENGINEERING → AUTOMATION The objective is not just to build something that works, but to develop reliable, robust, scalable, and maintainable security products that perform consistently in real-world environments. ⚙️ AREAS I WORK ON • Threat Intelligence & IOC Analysis • Brand & Domain Impersonation Intelligence • Malicious & Suspicious Domain Validation • Phishing Detection & Investigation • Attack Surface Monitoring • OSINT & Reconnaissance • Infrastructure & Network Intelligence • DNS / WHOIS / RDAP / HTTP / TLS Analysis • Security Validation & Classification Pipelines • Continuous Monitoring & Intelligence Collection I’m particularly interested in correlating multiple security signals, automating investigation workflows, reducing false positives, and producing evidence that helps analysts validate security findings. 🧠 ENGINEERING MINDSET I focus heavily on what happens beyond the prototype. How does a pipeline behave with 100, 10,000, or 100,000 domains? What happens when an API is slow or unavailable? How should rate limits, timeouts, failures, concurrency, and external dependencies be handled? How can processing be optimized without compromising validation? How can a system remain reliable as data volume and complexity increase? These are the engineering questions I enjoy working on. 🧪 R&D & CONTINUOUS LEARNING I enjoy technical research, experimentation, debugging, performance optimization, and understanding why systems behave the way they do. When an approach has limitations, I like investigating the problem, testing alternatives, and engineering a better solution. At Cyfirma, I’m focused on developing practical cybersecurity capabilities by combining security research with software engineering and automation. I’m always interested in connecting with cybersecurity enthusiasts, security analysts, developers, researchers, architects, and HR professionals working on interesting problems across cybersecurity and technology

Location

Hyderabad

AI stack

antigravity

claude code

claude

gemini

github copilot

hugging face

Work experience

Product Engineer at CYFIRMA, May 2026 - Present · 6 mos, Banglore, • Cybersecurity Product Development & Security Automation • Threat Intelligence, IOC Analysis & OSINT • Brand & Domain Impersonation Intelligence • Malicious / Suspicious Domain Detection & Validation • Phishing Detection & Attack Surface Monitoring • DNS, WHOIS/RDAP, HTTP/HTTPS, TLS & Network Analysis • Python & Java-based Security Automation and Backend Development • Designing reliable, scalable and robust validation pipelines • Security signal correlation, evidence analysis & automated classification • R&D, debugging, performance optimization and pipeline scalability • API integrations, concurrency, monitoring, error handling & rate-limit management • Collaborating with Cybersecurity Architects, Analysts and Engineering Teams

Software Developer at Self-Employed, Jan 2026 - May 2026 · 5 mos, 🚀 I'm thrilled to share my latest build: A **Threat Intelligence Dashboard**! 🛡️ I engineered this platform to tackle the fragmentation of OSINT cyber threat data. Built entirely with Python, Streamlit, and Pandas, it aggregates real-time Indicators of Compromise (IOCs) from AbuseIPDB, AlienVault OTX, URLhaus, and the NVD. Features I'm most proud of: ✅ Automated ETL pipelines normalizing diverse JSON REST API feeds into a secure relational SQLite database. ✅ Interactive geospatial analytics via Plotly to expose malware distribution globally. ✅ A built-in IP Reputation Engine mimicking enterprise-grade Threat Hunting systems. ✅ Secure architecture utilizing parameterized queries and dotenv configuration to isolate API keys. Check out the code on my GitHub here: [Link] Always happy to connect with fellow developers, security engineers, or data enthusiasts to talk architecture and optimization! LIVE at https://threat-intelligence-dashboard-zjiwvultwjnbtr63fekdft.streamlit.app github :https://github.com/Saishiva00/Threat-Intelligence-Dashboard #Python #Cybersecurity #DataScience #Streamlit #ThreatIntelligence #SoftwareEngineering

Education

Bachelor of Technology - BTech, Electronics and communication engineering, Nalla Narasimha Reddy Education Society Group of Institutions