
Shivam Rawal
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Shivam Rawal
- Bis heute 3 Jahre und 7 Monate, seit Feb. 2023
Full-Stack Web Developer (frontend-focused)
eveeno
Work highlights: - Vue.js product development (SPA UI) and feature delivery - PHP backend work (no framework), including refactoring legacy PHP into cleaner internal structures - Maintaining and upgrading older stacks (jQuery, PHP), handling dependency upgrades and migration issues - SSO using OpenID Connect with Okta - External integrations: payment providers, banking-related flows, DNS/email-related setup - XRechnung / ZUGFeRD-related implementations and robust PDF generation with complex layouts - PWA +
- Bis heute 3 Jahre und 10 Monate, seit Nov. 2022
Personal Project — High-Frequency Trading / Market Data Systems
Self-employed
This is a personal exploration project where I experiment with architectures for low-latency market data ingestion and trading automation. I’ve built components that connect to brokers/exchanges, consume live data streams, perform rapid calculations, and trigger order execution workflows. Tech focus: performance, real-time systems, networking, and WebSockets. I typically use Python for fast iteration and C++ for time-critical parts.
- 3 Jahre und 9 Monate, Feb. 2019 - Okt. 2022
Project Head / Full-Stack Developer
SoftTech Webinities
As project head, I worked with clients to clarify requirements, plan solutions, and deliver projects with a small team. I have experience across web technologies (Laravel, Django, Vue.js, React.js, and also pure HTML/CSS/JS/PHP), plus selected Android, cross-platform/PWA, and desktop-style applications.
Ausbildung von Shivam Rawal
- 3 Jahre und 8 Monate, Okt. 2022 - Mai 2026
M.Sc. Data Science
FAU Erlangen-Nürnberg
Applied work beyond course exercises includes: - Imbalanced datasets (loss functions and training methods) - ResNets, RNN-based models - Image data and time-series data - Medical applications (ECG arrhythmia detection) Topics explored / ongoing learning: - Data types: 2D/3D + time, text-to-image,
- 2018 - 2022
computer engineering
Marwadi University
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