a
ai_arham7

Arham K

@ai_arham7
Paquistão
Inglês, Urdu, Francês
Algumas informações são exibidas no idioma inglês.
Sobre mim
AI & Machine Learning Developer | Python & Deep Learning Specialist Hi! I'm Arham Khan, an experienced AI & ML developer with 4+ years in building intelligent systems using Python, TensorFlow, PyTorch, and Flask. I specialize in Machine Learning, Deep Learning, NLP, and Computer Vision. I also work with cutting-edge Generative AI (LLMs, Transformers) and Agentic AI (autonomous agents, tool use, prompt chaining). From idea to deployment, I deliver clean, efficient, and production-ready AI solutions tailored to your needs.... Saiba mais

Habilidades

a
ai_arham7
Arham K
offline • 

Conheça meus serviços

Machine learning
I will do ai, machine learning and data science projects in python
A partir deUS$ 100 /projetoMais detalhes
Visão Computacional
I will build computer vision models using CNN and opencv
A partir deUS$ 100 /projetoMais detalhes

Portfólio

Experiência profissional

AI Engineer

kalsoft • Período integral

Jan 2025 - Present • 1 yr 4 mos

As an AI/ML Engineer at KalSoft, I specialize in designing and deploying intelligent systems across the full AI lifecycle. My work spans the end-to-end development of AI solutions—from data preprocessing to model deployment—leveraging both classical Machine Learning and cutting-edge Generative AI techniques. Core Responsibilities: 🔹 AI/ML & Generative AI: Model development using traditional ML techniques and modern Generative AI architectures (LLMs, RAGs, Agentic Systems). Fine-tuning and optimizing models for real-world use cases, ensuring scalability and performance. 🔹 AI Lifecycle Ownership: Full-cycle ML pipeline: Data preprocessing → Model building → Optimization → Testing → API creation → Dockerization → Deployment (AWS EC2). 🔹 Backend Development: Developing scalable and efficient backend systems using ASP.NET Core (C#), Python (Flask, FastAPI). API design and integration for AI services. 🔹 Cloud & DevOps: AWS: EC2, DynamoDB, Lambda, SES for email workflows. Azure: Azure DevOps for CI/CD, Azure Graph Email services. 🔹 Database Management: Hands-on experience with SQL (MySQL, SQL Server), NoSQL (MongoDB, DynamoDB), and Excel for data manipulation and storage. 🔹 Software Engineering: Strong understanding of software construction, clean architecture, and development best practices. Contributing to enterprise-level software development with cross-functional teams. 🔹 Automation & Scraping: Automating data collection and web scraping for training datasets and business intelligence