Krishna has a lot of ideas

Hello! I'm Krishna, a B.Tech. graduate in Computer Science (Cybersecurity & Digital Forensics) from VIT (CGPA 8.82). I work as a Cloud Security Associate, specializing in cloud security, threat detection, and SIEM engineering — building CTEM pipelines on Azure, managing Splunk infrastructure across 20+ indexers, and simulating real-world attacks to harden defenses. My projects range from a cyber recovery framework that restores services within 5 minutes of a ransomware simulation, to ML-based phishing detection and facial recognition systems. I'm an Oracle Cloud Infrastructure DevOps Professional, was selected for Amazon ML Summer School 2024, and represented India at the Vodafone _VOIS International Hackathon.

Feel free to reach out!

WORK WITH ME

Some Projects I Have Worked on

FaceTrack

FaceTrack is a facial attendance system utilizing Firebase for real-time data synchronization and AWS for robust backend support. It automates attendance tracking by recognizing faces and securely storing records in the cloud, ensuring accurate and efficient attendance management.
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FaceGuard

FaceGuard is a real-time facial recognition surveillance system built using Raspberry Pi. It processes live video feeds, detects faces, and matches them against a database for identification. Designed for security applications, FaceGuard ensures accurate monitoring with a focus on privacy and efficiency.
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WeatherSnap

WeatherSnap is a Flutter-based app that instantly provides your local weather conditions. By accessing your device's location, it delivers real-time weather updates, including temperature, humidity, and forecasts. Designed for quick access and user-friendly experience, WeatherSnap keeps you informed about the weather wherever you are.
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BotBrains

Deployed a RASA-based WhatsApp Chatbot with NLP capabilities, resulting in a 50% reduction in customer service response time. Increased customer satisfaction ratings by 20% through sentiment analysis integrated into the chatbot.
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QuickChat

Engineered an AI-driven WhatsApp chatbot through Flask integration that automated 500+ customer interactions monthly, improving team productivity across customer service operations.
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NetSentry

Spearheaded the design and implementation of a robust network traffic monitoring system using ARP, enhancing visibility of network activities and reducing troubleshooting time by 40% in a controlled lab environment.
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Phoenix

Designed and implemented a cyber recovery framework to defend against ransomware attacks in hybrid environments. Achieved full restoration of business services within 5 minutes after attack simulation, ensuring operational continuity.
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RiskVision

Built a Continuous Threat and Exposure Management (CTEM) pipeline utilizing Azure Functions, Data Lake, and SQL Database to automate ingestion and transformation of asset vulnerability data.
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CyberRange

Created a secure attack lab using Kubernetes, Docker, and Azure VMs to simulate advanced threats. Improved alerting precision and reduced false positives through real-world validation.
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PhishGuard

Designed and implemented a proxy server to intercept traffic and extract URLs. Integrated a custom ML model to classify URLs as phishing or legitimate with real-time blocking capability.
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