ML Engineer • AI Specialist
HELLO
I'M SAJJAD
AHMAD
Machine Learning Engineer with hands-on experience designing, training, and deploying production-grade AI systems. Specializing in NLP, LLMs, RAG pipelines, and computer vision solutions.
Tech Stack
Machine Learning & AI
NLP & LLMs
Backend & Deployment
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 and Text-to-Speech with LLM-based conversational orchestration and contextual memory handling.
- Real-time speech processing pipeline
- LLM orchestration with contextual memory
- Modular backend architecture
- Containerized for scalable deployment
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.
Machine Learning Engineer
Apptex Software Solution
Aug 2025 – Present
- Designed & fine-tuned YOLO/CNN models for traffic light detection (84% accuracy)
- Processed 10K+ labeled image samples for model training
- Reduced inference latency by 30% through model quantization
- Built end-to-end ML pipelines: data ingestion → production inference
- Deployed models as scalable REST APIs with FastAPI + Docker
Machine Learning Trainee
ML1 (Machine Learning 1 Pvt Ltd)
April 2025 – June 2025
- Intensive training in supervised & unsupervised ML techniques
- Built computer vision models for license plate detection (CNN + YOLO)
- Applied cross-validation & hyperparameter tuning
Chatbot Developer (LLM & NLP)
INNOVATION.TECH
Jan 2025 – April 2025
- Designed LLM-based conversational systems with prompt engineering
- Built intelligent chatbot pipelines using LangChain
- Integrated chatbot APIs using FastAPI
AI/ML Intern
Bave Technologies (Remote)
Aug 2024 – Sept 2024
- Developed supervised ML models using real-world datasets
- Conducted EDA, handled missing values, engineered features
- Supported CI/CD workflows for ML services
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
FAQ
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