r
ranatoheed911

Rana Toheed

@ranatoheed911

AI Developer

Pakistan
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I’m Rana Toheed Ullah. If you’re looking for someone who simply writes lines of code,I’m probably not your guy.But if you’re looking for a partner to help you navigate the rapidly evolving world of AI and build software that actually moves the needle for your business,we’re going to get along great. Over the last 4+ years,I’ve evolved from a traditional full-stack developer into an AI-first builder. I realized early on that the "old way" of building software spending months on basic architecture is being disrupted. Today,the advantage goes to whoever can bridge the gap between human creativity... Plus d’infos

Compétences

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ranatoheed911
Rana Toheed
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Voir mes services

Sites Web personnalisés
I will build fix loveable lovable ai apps saas mvp
Sites Web personnalisés
I will design a romantic digital wedding or valentine card

Portfolio

Expérience professionnelle

La_Colmar

WordPress Developer

La Colmar • Temps plein

Jul 2025 - Mar 20268 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 20255 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.