j
jazzyai

Jahanzeb R

@jazzyai
Pakistan
Inglese, Urdu, Hindi
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I’m a Generative AI Developer building advanced AI chatbots, LLM-powered apps, and intelligent AI agents that solve real business problems. I develop end-to-end solutions—from architecture and prompt engineering to deployment—ensuring scalable, production-ready systems. I build RAG pipelines, AI assistants, automation agents, voice AI, and Multi agents and Agentic AI using Python, LangChain, LangGraph, FAISS, and leading LLM APIs. Let’s build impactful AI for your business.... Continua a leggere

Competenze

j
jazzyai
Jahanzeb R
offline • 

Consulta i miei servizi

Sviluppo di chatbot IA
I will build rag chatbot for your business using langchain and gpt
Automazioni e agenti
I will do n8n automations, n8n ai agents, n8n workflows, ai automations on n8n

Portfolio

Esperienza lavorativa

AI Engineer

SOC Solutions • Full time

Feb 2025 - Present1 yr 3 mos

Currently working on end-to-end AI product development, translating research concepts into scalable, production-ready solutions across diverse real-world use cases. My role spans solution architecture, model experimentation, evaluation, optimization, and deployment. I designed and implemented a voice cloning pipeline using advanced speech synthesis and voice modeling techniques to replicate speaker tone, timbre, and speaking style from raw audio inputs. This involved preprocessing, feature extraction, model fine-tuning, and inference optimization for high-fidelity output. I developed an AI-powered personality development assistant leveraging large language models (LLMs) to generate adaptive content, structured learning paths, and goal-oriented guidance. The system integrates prompt engineering, dynamic context handling, and user-personalized response generation. I implemented an early-stage Retrieval-Augmented Generation (RAG) architecture by combining vector embeddings with LLM-based query answering. This improved factual accuracy, contextual relevance, and reduced hallucinations in domain-specific tasks. Additionally, I contributed to building an AI-driven SEO optimization tool for SaaS platforms, generating high-quality, keyword-optimized content to enhance search visibility, improve ranking potential, and support organic growth strategies. Key Achievements:   • Delivered production-ready AI pipelines from prototype to deployment   • Improved content relevance and user personalization through structured LLM workflows   • Enhanced information retrieval accuracy using embedding-based search   • Supported measurable SEO performance improvements through AI-generated copy