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Rana Toheed
@ranatoheed911
Web Developer
Pakistan
Anglais
À propos de moi
I'm Rana Toheed Ullah — a full-stack developer who's evolved
into an AI-first builder over the last 4+ years. I combine
solid engineering with modern AI-assisted workflows to deliver
faster without cutting corners on quality.
I work across React, Node.js, and Tailwind CSS, building
websites, SaaS platforms, and automation tools often turning
around complex projects in days, not weeks.
If you have an idea or a site that needs fixing, send me a
message and let's talk.
Compétences
Rana Toheed
hors ligne •
Temps de réponse moyen de 1 heure
Voir mes services
Sites Web personnalisés
I will develop a custom saas web application from scratch
Automatisations et agents
I will automate your business workflow using ai and zapier
Portfolio
Expérience professionnelle
WordPress Developer
La Colmar • Temps plein
Jul 2025 - Mar 2026 • 8 mos
I started my career as a WordPress developer, and thanks to my quick learning and growth, I was promoted to a full‑stack developer in the same company. There, I worked on two websites in parallel: https://mydnlife.com/ (WordPress) https://ibtidaglobal.com/ (React) I am currently maintaining mydnlife.com and also handling affiliate work for these projects. I’ve been able to achieve very good reach and results in a relatively short period of time.
FullStack Developer
Developers World LLC • Temps plein
Dec 2024 - May 2025 • 5 mos
I developed and optimized a cryptocurrency trading bot leveraging the Long Short-Term Memory (LSTM) model. The model was trained on historical market data to predict future price actions, such as Buy, Sell, or Hold signals. My focus was on improving the model's accuracy by fine-tuning hyper parameters and handling sequential data efficiently. • I worked on integrating the Gemini 1.5 Flash Large Language Model (LLM) with a Flask-based web application. The LLM was used to generate intelligent responses and perform text-based analysis on user inputs. I developed the API endpoints using Flask and ensured seamless communication between the front-end interface and the LLM. This integration showcased the practical application of LLMs in web-based applications, enhancing the system's overall functionality. • Conducted AI-driven analysis of 1,000+ Instagram posts related to oral cancer using Python, Selenium, and Google Gemini LLM to extract, filter, and categorize content. Delivered a structured, engagement-rich dataset for health communication insights and research.
