Software Engineer, AI Developer, and Cybersecurity Learner passionate about building intelligent systems that solve real-world problems.
Currently pursuing B.Tech in Artificial Intelligence & Machine Learning at JECRC University, while actively developing projects in Artificial Intelligence, Computer Vision, Cybersecurity, Cloud Computing, and Full Stack Development.
I enjoy transforming ideas into production-ready solutions through clean architecture, scalable design, and modern engineering practices.
- Software Engineering Internships
- AI/ML Engineering Roles
- Cybersecurity Opportunities
- Open Source Contributions
- Hackathons & Innovation Challenges
- Research Collaborations
- Artificial Intelligence
- Computer Vision
- Cybersecurity
- Open Source Intelligence (OSINT)
- Cloud Computing
- Full Stack Development
| Domain | Proficiency | Details |
|---|---|---|
| Machine Learning | Advanced | Supervised & Unsupervised Learning |
| Computer Vision | Advanced | Object Detection, Vehicle Detection, OpenCV |
| Generative AI | Intermediate | Prompt Engineering & AI Applications |
| Deep Learning | Intermediate | Neural Networks & Model Training |
| Data Analytics | Intermediate | Data Processing & Visualization |
| Cybersecurity AI | Intermediate | Threat Analysis & Detection Systems |
| AI Product Development | Advanced | End-to-End Product Building |
| Cloud AI Services | Intermediate | Vertex AI & Cloud Integrations |
π± CarbonWise AI
Stack: HTML, CSS, JavaScript, AI APIs
Scale: Sustainability Platform
Performance: Real-time Analysis
Security: Secure Data Processing
Impact: Environmental Awareness
Repository: https://github.com/somansinghal/CarbonWise-AI-
CarbonWise AI helps users understand environmental impact through intelligent sustainability analytics and carbon footprint insights.
π‘οΈ PhishSentinel
Stack: HTML, CSS, JavaScript
Scale: Cybersecurity Tool
Performance: Instant URL Analysis
Security: Threat Detection Engine
Impact: Improved Online Safety
Repository: https://github.com/somansinghal/PhishSentinel
PhishSentinel detects phishing URLs and provides threat intelligence through interactive security dashboards.
π FileSentinel
Stack: JavaScript, APIs
Scale: Security Utility
Performance: Fast File Analysis
Security: Malware Detection
Impact: Safer File Handling
Repository: https://github.com/somansinghal/FileSentinel
FileSentinel integrates security intelligence services to analyze suspicious files and generate security reports.
π Vehicle Detection System
Computer Vision Based Vehicle Detection
Metric Details Stack Python, OpenCV Scale Smart Traffic Monitoring Performance Real-time Processing Security Computer Vision Pipeline Impact Traffic Analysis Repository https://github.com/somansinghal/car-detection
Vehicle Detection System uses OpenCV for intelligent vehicle recognition and monitoring.
ποΈ Object Detection System
Stack: Python, OpenCV, YOLO
Scale: Computer Vision Application
Performance: 15β20 FPS Processing
Security: Vision-Based Monitoring
Impact: Automation & Detection
Repository: https://github.com/somansinghal/detection-object
Built using OpenCV and YOLO-based object detection models for real-time object recognition, classification, and tracking. The system processes live video streams to identify multiple objects simultaneously, making it suitable for surveillance, smart monitoring systems, traffic analysis, and automation applications.
- Real-time object detection and tracking
- YOLO-based deep learning model integration
- OpenCV-powered video processing
- Multi-object recognition capability
- Live camera feed analysis
- Efficient frame processing pipeline
- Smart Surveillance Systems
- Traffic Monitoring
- Industrial Automation
- Security & Safety Monitoring
- Computer Vision Research
πͺ Electronic Shop Management System
Stack: Python, Pandas
Scale: Business Management Tool
Performance: Optimized Data Handling
Security: Local Data Management
Impact: Process Automation
Repository: https://github.com/somansinghal/electronic-shop-management-system
Desktop-based inventory and billing solution designed for efficient inventory tracking, billing automation, customer record management, and business operations management. The system streamlines day-to-day retail workflows through efficient data handling and automated reporting capabilities.
π OmniTrace AI
Stack: Python, Flask, HTML, CSS, JavaScript
Scale: Intelligence & Investigation Platform
Performance: Real-Time Information Gathering
Security: Secure Data Processing Pipeline
Impact: Enhanced Digital Investigation Capabilities
Repository: https://github.com/somansinghal/omnitrace_india
OmniTrace AI is an advanced Open-Source Intelligence (OSINT) and digital investigation platform designed to help security researchers, analysts, and investigators gather, analyze, and visualize publicly available information.
- Digital Footprint Analysis
- OSINT Investigation Workflows
- AI-Powered Data Processing
- Domain & Email Intelligence
- Threat Intelligence Support
- Interactive Investigation Dashboard
- Automated Data Collection
- Report Generation
- Built scalable intelligence gathering workflows.
- Implemented automated information correlation.
- Designed modular architecture for future integrations.
- Developed responsive investigation dashboards.
- Applied AI techniques to improve information discovery.
OmniTrace AI streamlines digital investigations by reducing manual effort, improving data visibility, and enabling faster intelligence-driven decision-making.
Experience
π Independent Developer β AI & Cybersecurity Projects
2026 β Present
Designing and developing real-world AI, cybersecurity, OSINT, and automation solutions through independent engineering initiatives and project-based learning.
Scope of Work
- Developed AI-powered cybersecurity platforms including PhishSentinel and FileSentinel.
- Built computer vision systems for object detection and vehicle monitoring using OpenCV and YOLO.
- Created OSINT and digital intelligence solutions such as OmniTrace AI.
- Designed and deployed full-stack web applications and interactive dashboards.
- Implemented cloud-based workflows using Google Cloud technologies.
- Applied AI and automation techniques to solve practical real-world problems.
π€ Member β JUMakerspace
Oct 2025 β Present
Collaborating with innovators, developers, and technology enthusiasts on robotics, software engineering, and emerging technology projects.
Contributions
- Participated in collaborative technical projects and innovation activities.
- Contributed to robotics and engineering initiatives.
- Developed web-based solutions and technical prototypes.
- Engaged in interdisciplinary problem-solving and team collaboration.
π» Student Developer (Projects)
Jan 2024 β Present
Building practical software solutions and AI-driven applications while pursuing a Bachelor of Technology in Artificial Intelligence & Machine Learning at JECRC University.
Featured Projects
- π± CarbonWise AI
- π OmniTrace AI
- π‘οΈ PhishSentinel
- π FileSentinel
- π Vehicle Detection System
- ποΈ Object Detection System
- πͺ Electronic Shop Management System
Focus Areas
- Artificial Intelligence & Machine Learning
- Computer Vision
- Cybersecurity
- Open Source Intelligence (OSINT)
- Full Stack Development
- Cloud Computing
| Recognition | Details |
|---|---|
| Google Cloud Arcade | Arcade Base Camp 2026 |
| Google Cloud Skills Boost | Multiple Cloud Skill Badges |
| Cisco Networking Academy | Ethical Hacker Certification |
| IBM Data Science | Data Science Learning Path |
| TryHackMe | Cybersecurity Training Completion |
| Tata Forage | Cybersecurity & GenAI Simulations |
| Deloitte Forage | Technology & Data Analytics Simulations |
| Open Source | Active Project Development |
- Advanced Machine Learning
- Cloud Architecture
- Cybersecurity & Cloud Security
- System Design
- Generative AI
- Agentic AI
- Computer Vision
- AI Applications
- Cybersecurity Platforms
- Full Stack Projects
- Open Source Solutions
- Software Engineering Internships
- AI/ML Opportunities
- Open Source Contributions
- Research Collaborations
- Hackathons
- Developer Communities