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Muhammad Junaid ✓
AI Engineer · Full-Stack AI Developer @ Voltek
Kotli, AJK · Remote worldwide
I design and ship AI systems — GenAI, LLM agents and RAG — plus the full-stack products around them.
Hi, I am Muhammad Junaid_
AI ENGINEER &
FULL-STACK DEVELOPER
Creating exceptional, intelligent systems.
- Machine Learning
- GenAI Applications
- RAG Systems
- Agentic AI & Multi-Agent Orchestration
- Voice Agents
- System Design
>> COGNITIVE SYNC: [SYNTHESIZING_] 0%
Muhammad JunaidFull-Stack AI Developer @ Voltek
OpenAI 
Claude 
Gemini 
OpenClaw 
Hugging Face 
Hermes 
Python 
LangChain 
PyTorch ARCHITECTING THE FUTURE — CRAFTING INNOVATION THROUGH ADVANCED AI
Work Experience
Timeline →- 2026 Full-Stack AI DeveloperVoltek · Full-time
- 2024 Machine Learning & AI SpecialistXact Mind · Internship
- 2023 Data Scientist / AI EngineerKaggle · Full-time
- 2022 StudentUniversity of Kotli
My Toolbox
the AI-engineer stack Python PyTorch 
TensorFlow 
scikit-learn 
Pandas 
NumPy OpenAI Anthropic LangChain La LangGraph Ll LlamaIndex 
CrewAI Ag Agentic AI OpenClaw Hermes Agent Hugging Face RA RAG Kaggle Pi Pinecone 
pgvector 
Redis 
FastAPI 
TypeScript 
React 
Node.js 
Docker 
AWS At a glance
by the numbers 3+ Years building
15+ Projects shipped
10+ Articles written
8+ AI models deployed
What I build
Let's talk → AI Agents & Automation
Tool-calling agents that run real workflows — orchestration, guardrails, retries and tracing. From idea to production.
GenAI & LLM Apps
Chatbots, copilots and LLM features wired into your product — streaming, function calling, evals.
RAG & Retrieval Systems
Answer from your own documents, not vibes. Chunking, embeddings, reranking and an eval harness that proves it works.
Full-Stack Development
The product around the model — fast APIs, clean interfaces, and the infra that ships it.
MLOps & Deployment
Serve models at sane latency and cost — containers, pipelines, monitoring and CI/CD.
Data & ML Engineering
Pipelines, training and fine-tuning for what a prompt can't fix. Clean data in, reliable models out.
Multi-Agent Systems
orchestrated autonomous agents Orchestrator
Planner
Researcher
Executor
Coding Activity
Kaggle →—Public notebooks
—Total votes
ExpertNotebooks tier
▍
Daily spark
auto · 5sThe best way to predict the future is to build it.
A prototype is a promise. Production is the proof.
Retrieval beats memorization — ground the model in truth.
Ship the demo, then earn trust with evals.
Simple scales. Clever breaks.
Latency and cost are features, not afterthoughts.
Agents are only as good as their guardrails.
Certifications
View all →- Machine Learning Specialization Coursera · 2025
- Deep Learning Specialization Coursera · 2025
- AI for Medicine Specialization Coursera · 2025
Badges
View all →
4 verified badges · Credly
Recent Projects
All projects →
Availability
Available for freelance & roles
--:--local time
Usually replies within a day.
Start a project →From the Blog
All posts →
// kind words
What people say
Feedback from the teams and founders I've built AI systems with.
Junaid shipped our RAG assistant end-to-end — retrieval quality was the difference between a demo and something our team actually trusts.
Rare to find someone who can train the model and build the product around it. Clean APIs, real evals, no hand-waving.
The agent he built runs unattended every night. Guardrails, retries, tracing — it just works, and when it doesn't we know why.
Fast, communicative, and obsessed with latency and cost. Our inference bill dropped while quality went up.
Junaid shipped our RAG assistant end-to-end — retrieval quality was the difference between a demo and something our team actually trusts.
Rare to find someone who can train the model and build the product around it. Clean APIs, real evals, no hand-waving.
The agent he built runs unattended every night. Guardrails, retries, tracing — it just works, and when it doesn't we know why.
Fast, communicative, and obsessed with latency and cost. Our inference bill dropped while quality went up.