AI & ML Engineer | Full-Stack Developer | Building Explainable & Algorithmic Systems
Hyderabad, India
rohitsingh89788@gmail.com
Hey! Iโm a Computer Science & Engineering (AI & ML) undergrad at MRCET with a strong drive for turning complex algorithmic ideas into dependable, real-world systems. Rather than just following tutorials, I focus on building end-to-end platforms from scratch. ๐ What I Build & Research: โข Explainable AI & Vision: Engineered PneumoAI, a chest X-ray diagnosis model achieving 95.4% validation accuracy with clinician-grounded Grad-CAM visual heatmaps. โข Core DSA & Robotics: Built an autonomous navigation stack from scratch using A* graph traversal, raycasting, and dynamic 2D occupancy grids (100% collision-free across 60 benchmark maps). โข AI Cybersecurity: Developed a hybrid network intrusion detection platform pairing Random Forest (99.2% accuracy) with unsupervised Isolation Forests mapped to MITRE ATT&CK. โข Full-Stack & Real-Time Systems: Architecting CabGo with Next.js 14, TypeScript, WebSockets, and Supabase. ๐ ๏ธ Tech Stack: Python, TypeScript, React, Next.js, Node.js, TensorFlow, PyTorch, scikit-learn, PostgreSQL, Docker, Git. Always open to discussing AI systems, hackathons, and innovative open-source projects. Let's connect!
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LABMENTIX
Full Stack Developer Intern
ArithMatrixTech
PneumoAI: Diagnostic Vision & Explainability
Trained and validated a deep convolutional neural network on chest radiograph datasets to detect pneumonia, achieving 95.4% validation accuracy and 0.98 AUC-ROC. Integrated Grad-CAM (Gradient-weighted Class Activation Mapping) to produce visual attention heatmaps for clinician-grounded explainability, deployed with sub-second Flask inference.
AI Autonomous Navigation & Pathfinding System
Engineered an autonomous ground robot navigation stack from scratch, implementing A* graph traversal with line-of-sight raycast smoothing. Constructed dynamic 2D occupancy grid mapping with ultrasonic raycasting perception. Tested across 60 benchmark obstacle layouts with a 100% collision-free goal arrival rate.
CabGo: Real-Time Transportation Platform
Architecting a production-style cab booking platform with distinct Rider, Driver, and Admin workflows using Next.js 14, TypeScript, and Supabase. Implementing real-time driver/rider location telemetry over WebSockets and PostgreSQL Row-Level Security (RLS) policies.
AI Cybersecurity Threat Detection System
Built a defense-in-depth network intrusion detection platform pairing supervised Random Forest classification (99.2% accuracy) with unsupervised Isolation Forest to flag zero-day anomalous network traffic. Mapped alerts to the MITRE ATT&CK framework with an interactive dark-themed SOC analyst console.
Bachelor of Technology (B.Tech)
Malla Reddy College of Engineering and Technology (MRCET)
ArithMatrixTech
Oct 2026Indian Institute of Placements in collabration with EDC IIT DELHI
Sept 2026be10X
Sept 2026Attendee ยท Oct 24, 2026