AI · CLOUD · FINANCE · FULL-STACK · ML · AUTOMATION
Important
Account security notice — July 2026
My original GitHub account, @Crusherbolt, was compromised after an unauthorized email address and an unrecognized OAuth application were added. I currently do not control that account, and an account-recovery case is open with GitHub Support.
Until this notice is updated, please do not trust messages, collaboration requests, credential requests, or account changes originating from @Crusherbolt. My previous repositories and contribution history remain visible there as a record of my work.
Note
Current official GitHub account: @Crusherbolt365
🚀 Built my first app at 14: Sonic VPN (10,000+ downloads)
- Exploring algorithmic trading, market intelligence systems, and high-performance product workflows.
- Building generative AI and machine-learning applications, including voice- and vision-based developer tools.
- Comfortable with full-stack engineering, automation, backend integrations, and shipping end-to-end products.
- Interested in solving real problems where AI, data, and product engineering meet.
My original profile, @Crusherbolt, contains:
- 33 public repositories
- Projects across VPN infrastructure, finance, AI/ML, developer tooling, and automation
- GitHub Developer Program membership and the Pull Shark achievement
- Public contribution history and repositories created before the July 2026 compromise
GitHub's native profile calendar cannot merge activity from two accounts. The chart below combines the latest calendar year only: GitHub's daily contribution counts from @Crusherbolt through 16 July 2026 and @Crusherbolt365 from 17 July 2026 onward.
Older years are intentionally omitted. The current-year chart reports GitHub-counted contributions and restricted/private activity, and shows public commit contributions separately so the numbers are not mislabeled.
Generated daily from GitHub's contribution calendar. Private or restricted activity is included only when GitHub exposes its anonymized contribution count.
| Role | Full-stack Developer · Product Engineering · Automation |
| What it is | A production platform combining VPN access with market-intelligence tools such as Gamma Exposure, COT analysis, financial news, and trading-focused content. |
| What I worked on | Secure VPN workflows, Windows and Android support, finance-data integrations, automation scripts, application updates, GitHub Actions workflows, and SEO-focused architecture. |
| Impact | Supported a live platform serving 1,000+ daily active users across application and Windows channels. |
| Technologies | React, TypeScript, Node.js, Supabase, Vercel, GitHub Actions |
| Links | Live site · Historical repository |
A lightweight Windows VPN client focused on privacy, encrypted browsing, and safe network connections.
| Role | Full-stack · AI Integration |
| What it is | A web-based IDE powered by voice commands, visual input, and real-time AI coding assistance for hands-free development workflows. |
| Technologies | TypeScript, React, Web Speech API, Gemini AI, WebRTC |
| Repository | VOXIDE — Vision Code Editor |
| Role | Lead Developer · AI Assistant Prototype |
| What it is | A conversational medical-assistant prototype using multimodal AI to interpret user-provided information and offer general guidance. |
| Technologies | Python, vision-language models, Next.js, Tailwind CSS |
| Repository | AI Doctor |
| Role | Machine Learning Engineer · Full-stack |
| What it is | A recommendation system for learning paths and courses using hybrid ML models with generative-AI summarization. |
| Technologies | Flask, Scikit-learn, Gemini API, HTML, CSS, JavaScript |
certifications/
├── Oracle Cloud Infrastructure 2025 Certified DevOps Professional
├── Google IT Support Certificate
├── NVIDIA Fundamentals of Deep Learning
├── NVIDIA Fundamentals of Accelerated Computing with CUDA C/C++
└── University of Michigan Applied Machine Learning in Python
| Certification | Issuer | Issued |
|---|---|---|
| Oracle Cloud Infrastructure 2025 Certified DevOps Professional | Oracle | October 2025 |
| Google IT Support Certificate | January 2026 | |
| Fundamentals of Deep Learning | NVIDIA | July 2025 |
| Fundamentals of Accelerated Computing with CUDA C/C++ | NVIDIA | February 2025 |
| Applied Machine Learning in Python | University of Michigan | December 2024 |
| Work | Description | Link |
|---|---|---|
| Amazon ML Challenge | Applied machine-learning challenge work | Repository |
| NASA Crater Detection Challenge | Computer-vision and crater-detection challenge | Challenge |
| Yandex LLM Hallucination Challenge | LLM reliability and hallucination-related challenge participation | — |
| Custom TestNet Deployment | ERC-20 deployment pipeline using thirdweb SDK and Ethers.js | Historical repository work |
| JS Main | JavaScript fundamentals covering scope, OOP, the DOM, and core concepts | Historical repository work |
| Area | Tools & Frameworks |
|---|---|
| Languages | Python, TypeScript, JavaScript, Dart, C#, Solidity |
| AI / ML | Gemini, vision-language models, Scikit-learn, OpenCV, Transformers |
| Frontend | React, Next.js, Tailwind CSS, HTML, CSS, JavaScript |
| Backend | Node.js, Express.js, Flask, Supabase |
| Finance / Data | Trading dashboards, analytics pipelines, automation scripts, structured market-data workflows |
| Web3 / Blockchain | Solidity, MetaMask, Web3.js, Hardhat, thirdweb SDK |
| Tools | Git, GitHub Actions, Firebase, Unity, WebRTC, Vercel |
I'm interested in:
- Algorithmic trading systems
- Mobile applications
- Web3 and blockchain products
- AI assistants and voice/vision-driven applications
- Full-stack products with real-world user impact
- Email: [email protected]
- LinkedIn: Vidhan Gupta
- Resume: View on Google Drive