Pratik Kamanahalli Mallikarjuna — Software Engineer

I am a results-driven Master’s student with a strong foundation in cloud security, artificial intelligence, and full-stack development. With hands-on experience in cloud-native architectures, AI-driven systems, and enterprise software development, I specialize in building scalable and secure solutions that drive measurable impact. Key Areas of Expertise: ☁️ Cloud Security & AI: Using AWS, automation, and ML-driven approaches to improve security posture and reduce risk. 🧠 Machine Learning & Deep Learning: Building CNN/LSTM-based models for deepfake detection and anomaly detection. 💻 Full-Stack Development: Developing high-performance applications using React, Node.js, Flask, and Django. 🏗️ Enterprise-Grade Engineering: Designing reliable systems with strong monitoring, fault tolerance, and production readiness. Professional Experience: 🏢 Amazon, Inc. : Software Development Engineer Intern (Amazon Stores) Modernized a warehouse capacity forecasting system by replacing static thresholds with a real-time ML time-series forecasting solution using historical and live data signals. Built a containerized training/inference pipeline, automated weekly ingestion and processing workflows, and integrated real-time forecasting into a dashboard and downstream decision systems. Implemented monitoring and alerting for reliability. Achieved 75–80% efficiency improvement, 62.5% processing time reduction, 15–20% cost savings, and up to 75% accuracy improvement. Notable Projects: 📌 Deepfake Detection System: ResNeXt + LSTM model for video deepfake detection; built a Django web interface for real-time predictions. 📌 SpartanSpace (Secure Marketplace): React + Node.js marketplace for SJSU; integrated Firebase Auth and Stripe payments. Certifications & Achievements: 🎓 AWS Certified Solutions Architect 🏆 Led and contributed to end-to-end cloud, AI, and security-focused projects. I enjoy building scalable systems that combine AI and cloud engineering. Open to collaborating on ML systems, cloud-native architectures, and end-to-end product development. 📩 Feel free to connect to discuss opportunities in AI, cloud security, and software engineering.

Stackforce AI infers this person is a Full-Stack Developer with a focus on Cloud Security and Machine Learning in SaaS environments.

Location: San Jose, California, United States

Experience: 0 mo