Rohit Singh

Rohit Singh

AI & ML Engineer | Full-Stack Developer | Building Explainable & Algorithmic Systems


About

Hey! Iโ€™m 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. ๐Ÿš€ What I Build & Research: โ€ข Explainable AI & Vision: Engineered PneumoAI, a chest X-ray diagnosis model achieving 95.4% validation accuracy with clinician-grounded Grad-CAM visual heatmaps. โ€ข 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). โ€ข AI Cybersecurity: Developed a hybrid network intrusion detection platform pairing Random Forest (99.2% accuracy) with unsupervised Isolation Forests mapped to MITRE ATT&CK. โ€ข Full-Stack & Real-Time Systems: Architecting CabGo with Next.js 14, TypeScript, WebSockets, and Supabase. ๐Ÿ› ๏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!

Skills
Python
TypeScript
JavaScript
TensorFlow
Keras
scikit-learn
Deep Learning
Computer Vision
React
Next.js
Node.js
Express
Flask
PostgreSQL
Supabase
MongoDB
Docker
Git
REST APIs
WebSockets
Data Structures & Algorithms
Machine Learning
Experience

Web developer Intern

LABMENTIX

Oct 2026 to Present
  • Currently working as a web developer intern at LABMENTIX .
  • Also completed my first project in this timeline.

Full Stack Developer Intern

ArithMatrixTech

Sept 2026 to Oct 2026
  • ๐Ÿš€ Milestone Unlocked: Completed the B.Y.T.E Virtual Internship (AVIP 2026) with B.Y.T.E by Arithmatrix Tech
  • Over the past sprint, I moved past passive tutorials and engineered real-world software in the Full Stack Development track.
  • ๐Ÿ› ๏ธ Projects Engineered & Shipped:
  • โ€ข Project 1: https://lnkd.in/dX_kMNtn
  • ๐Ÿ”— Live Deployment: https://lnkd.in/dAR-SU_h
  • โ€ข Project 2: https://lnkd.in/dfkeQWsF
  • โ€ข Project 3: https://lnkd.in/d2DVFYmG
  • ๐Ÿ”— Live Deployment: https://lnkd.in/dn-Wxb_j
  • ๐ŸŽฏ Key Milestones:
  • โœ… Intern ID: arith84973
  • โœ… Clean code architecture, Git workflows & live production deployment
  • โœ… Official Certificate & Letter of Recommendation Audit Cleared
  • โœ… Direct Qualification for B.Y.T.E League 2026 Hackathons (โ‚น1,00,000+ Prize Pool)
Projects

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.

Python
TensorFlow
Keras
Grad-CAM
Flask

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.

Python
A* Search
Heuristics
Dynamic Occupancy Grids

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.

Next.js 14
TypeScript
Supabase
WebSockets
PostgreSQL

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.

Python
scikit-learn
Random Forest
Isolation Forest
Docker
Education

Bachelor of Technology (B.Tech)

Malla Reddy College of Engineering and Technology (MRCET)

Jul 2025 to Aug 2029
Certifications

Full Stack Developer Intern

ArithMatrixTech

Oct 2026

AI ERA CAREER LITERACY SERIES

Indian Institute of Placements in collabration with EDC IIT DELHI

Sept 2026
DevFestHYDERABAD

Attendee ยท Oct 24, 2026

About DevFest Hyderabad