v
vishal_python

Vishal.AI

@vishal_python

AI Engineer and Machine Learning Developer

Pakistan
Anglais, Ourdou, Hindi
Certaines informations sont présentées en anglais.
À propos de moi
AI Engineer with hands-on experience building real-world AI apps, from ML-based risk prediction to AI voice agents and automation tools. I work with Python, Flask/FastAPI, machine learning, React, and AI APIs (OpenAI, Groq, Gemini, Claude) to build working products. I also create AI-generated posters, images, and social media graphics. What I offer: - AI chatbots and voice agents - ML models (prediction, classification, scoring) - AI automation and RAG systems - Full-stack app development - AI-generated posters and graphics Clear communication, clean results.... Plus d’infos

Compétences

v
vishal_python
Vishal.AI
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Publications et bannières sociales
I will design a stunning ai generated poster or social media graphic
De5 $US / projetPlus de détails
Intégrations IA
I will build custom ai chatbots, machine learning models, and python automation
De90 $US / projetPlus de détails

Portfolio

Expérience professionnelle

AI/IT Intern - Pakistan Television Corporation (PTV)

company • Indépendant

Jun 2026 - Present • 2 mos

Currently working as an AI/IT Intern at Pakistan Television Corporation (PTV), applying machine learning and Python development skills to real-world projects. Contributing to automation tools and AI-driven solutions in a professional broadcasting environment.

Self

AI Developer - Independent Projects

Self • Indépendant

Jul 2025 - Present • 1 yr 1 mo

Built and deployed multiple AI/ML projects independently. Developed CarPricePredictor, a machine learning model predicting used car prices with an R2 score of 0.77, using Scikit-learn for preprocessing, training, and evaluation. Built HireIQ, an AI-powered hiring assistant helping startups screen CVs faster and more fairly. Currently building SafeRoute PK, a crime-risk-aware navigation app for Karachi using a Random Forest model for real-time route safety scoring. All projects are live and open-source on GitHub.