AI Engineer in Islamabad • ML Specialist
HELLO
I'M SAJJAD
AHMAD
AI Engineer based in Islamabad with hands-on experience designing, training, and deploying production-grade AI systems. Specializing in Generative AI, Agentic AI, RAG pipelines, and computer vision solutions.
About Me
Why work with me
Three reasons to choose me: deep AI/ML expertise, production-ready code, and fast, reliable delivery.
Deep ML/AI Expertise
Hands-on experience with PyTorch, TensorFlow, and HuggingFace Transformers. From training computer vision models to building RAG pipelines and LLM-powered agents — I understand the full AI stack.
Production-Grade Code
Clean, modular, and scalable architecture. Every solution I build is deployed with FastAPI, Docker, and CI/CD pipelines — ready for real-world usage, not just demos.
Fast & Reliable
Clear communication, structured milestones, and rapid iteration. I reduce inference latency by up to 30% and deliver solutions on schedule with measurable results.
Projects
Real projects, real impact
AI/ML solutions built for production use — from computer vision systems to LLM-powered agents and RAG pipelines. Each project on GitHub.
AI Voice Call Agent
Real-time AI voice agent integrating Speech-to-Text, Large Language Models, and Text-to-Speech with conversational memory for natural voice interactions.
- Real-time speech-to-text, LLM, and text-to-speech integration
- Multi-turn conversational memory & context orchestration
- End-to-end conversational AI workflow for voice calls
Benefits
What you get when you hire me
Concrete, measurable results for your AI/ML needs. Not just prototypes — production-ready intelligent systems.
Custom AI Solutions
LLM-powered chatbots, RAG pipelines, and agentic AI workflows tailored to your business logic and data.
Computer Vision
Object detection, image classification, and OCR systems using YOLO, CNN, and custom-trained deep learning models.
Scalable APIs
Production-ready REST APIs with FastAPI, containerized with Docker, ready for cloud deployment on AWS.
Fast Delivery
Structured milestones, clear communication, and rapid iteration. From concept to deployed solution, on time.
Career
Experience & Education
My journey from CS student to production ML engineer — each role building deeper expertise in AI systems.
AI Engineer
Apptex Software Solution, Pakistan
Aug 2025 – Present
- Develop and test Machine Learning and Deep Learning solutions using Python, PyTorch, and TensorFlow for real-world AI applications.
- Perform end-to-end data preprocessing, feature engineering, model evaluation, debugging, and performance optimization across AI workflows.
- Develop Computer Vision solutions using YOLO and CNN architectures for real-time object detection and image processing applications.
- Build and integrate trained AI models through FastAPI REST APIs for backend deployment and application integration.
- Develop LLM-powered applications using prompt engineering, RAG, and conversational memory as part of enterprise AI solutions.
Machine Learning Trainee
ML1 Pvt Ltd, Pakistan
Apr 2025 – Jun 2025
- Implemented end-to-end Machine Learning workflows including data preprocessing, feature scaling, model training, and validation using Python and Scikit-learn.
- Worked with supervised and unsupervised learning techniques on real-world datasets to extract actionable data insights.
- Developed Computer Vision models using CNNs and YOLO for object detection and classification tasks.
- Applied cross-validation techniques and hyperparameter tuning to improve model performance and generalization.
Chatbot Developer
INNOVATION.TECH, Pakistan
Jan 2025 – Apr 2025
- Developed LLM-powered applications using Python, LangChain, and Hugging Face models.
- Designed multi-turn conversational pipelines with stateful memory mechanisms for context-aware interactive agents.
- Integrated AI core services with FastAPI backends and REST APIs for low-latency client communication.
- Engineered optimized prompt templates and LLM evaluation workflows to improve response accuracy.
Generative AI & Machine Learning Intern
VersatileSoft, Pakistan
Apr 2023 – Oct 2024
- Developed and fine-tuned Large Language Models (LLMs) to generate accurate, domain-specific, and context-aware responses.
- Built and refined Small Language Models (SLMs) and optimized runtime latency for edge and resource-constrained environments.
- Executed automated data preprocessing, data cleaning, and evaluation pipelines to enhance dataset quality and model reliability.
- Worked on modern Generative AI model architectures, fine-tuning methodologies (LoRA/QLoRA), and inference optimization.
- Collaborated within cross-functional teams to resolve production bottlenecks and deliver robust AI product capabilities.
BS Computer Science
FATA University
2020 – 2024
- CGPA: 3.64 / 4.00
- Coursework: Machine Learning, AI, Statistics, Data Structures, Algorithms
Skills & Tools
Technologies I use to build AI solutions
Programming
Machine Learning
NLP & LLMs
Agentic AI
Deployment
Data & Evaluation
Latest AI & Engineering Insights
Deep dives on Agentic AI, RAG architecture, LLMs, and machine learning solutions for business growth.
How Can AI Agents Increase Sales for Your Business?
Discover how autonomous AI agents support sales by qualifying leads 24/7, accelerating follow-ups, personalizing product recommendations via RAG, and automating CRM workflows to drive measurable revenue growth.
Sajjad Ahmad
What Is Agentic AI? A Complete Guide for Engineers & Businesses
An architectural guide exploring Agentic AI: autonomous goal-seeking systems, tool calling, multi-agent coordination, and real-world implementation patterns.
Sajjad Ahmad
What Is Model Context Protocol (MCP)? Architecture & Integration Guide
Learn what Model Context Protocol (MCP) is, how MCP architecture works, and how MCP servers connect AI agents and LLMs to tools, data, APIs, and external systems.
Sajjad AhmadFAQ
Frequently Asked Questions
Common questions about working with me as your ML/AI engineer.
What kind of AI/ML projects do you work on?
I specialize in LLM-powered applications (chatbots, RAG pipelines, agentic AI), computer vision systems (object detection, OCR), and end-to-end ML pipelines. From data preprocessing to production deployment.
Do you work remotely?
Yes, I work fully remote. Based in Pakistan, but available for clients worldwide. I maintain clear communication across timezones with regular check-ins and structured milestones.
What's your typical project timeline?
It depends on scope: small ML models or chatbot integrations take 1-2 weeks. Full AI systems with custom training and deployment typically take 1-3 months. I provide a clear timeline upfront.
What's your tech stack?
Python is my primary language. For ML: PyTorch, TensorFlow, Scikit-learn. For NLP/LLMs: HuggingFace, LangChain, LlamaIndex, SpaCy. For deployment: FastAPI, Docker, AWS. I adapt based on project needs.
How do you handle pricing?
I offer both fixed-price and hourly options. For well-defined projects, I provide a fixed quote upfront. For ongoing or evolving work, I bill hourly with weekly progress reports. All pricing is discussed before starting.
How do we communicate during the project?
I use Slack, Discord, or WhatsApp for daily chat. Weekly video calls for progress reviews. You get access to a shared project board (Notion or GitHub Projects) so you always know exactly where things stand.
Contact
Let's build something amazing
Have an AI/ML project in mind? Let's discuss:
- • Your project requirements and goals
- • Technical approach and feasibility
- • Timeline, milestones, and deliverables
- • Pricing and engagement model
You'll get: a clear understanding of what's possible, a technical roadmap, and a detailed quote.
Prefer email? Reach me directly at sajjadxdev@gmail.com
Availability
Available for new projects — April 2026
~12h
Average response time
How it works:
- Send me a message with your project idea
- We discuss scope, timeline & pricing
- I start building your AI solution 🚀
Get in touch
Or email me directly at sajjadxdev@gmail.com