I’m Saim Ur Rehman, a machine learning engineer and AI researcher based in Lahore. I build end-to-end AI solutions, from data prep and model training to deploying scalable ML systems in production. I enjoy working with multimodal data and advanced architectures like CNNs, Vision Transformers, and large language models to solve real-world problems. Across startups and universities, I’ve prototyped medical AI workflows, explored vector databases for retrieval augmented generation, and delivered production-grade pipelines with a focus on performance and reliability. I’m passionate about turning complex data into actionable insights and collaborating with cross-functional teams to ship impactful AI software.

Saim Ur Rehman

I’m Saim Ur Rehman, a machine learning engineer and AI researcher based in Lahore. I build end-to-end AI solutions, from data prep and model training to deploying scalable ML systems in production. I enjoy working with multimodal data and advanced architectures like CNNs, Vision Transformers, and large language models to solve real-world problems. Across startups and universities, I’ve prototyped medical AI workflows, explored vector databases for retrieval augmented generation, and delivered production-grade pipelines with a focus on performance and reliability. I’m passionate about turning complex data into actionable insights and collaborating with cross-functional teams to ship impactful AI software.

Available to hire

I’m Saim Ur Rehman, a machine learning engineer and AI researcher based in Lahore. I build end-to-end AI solutions, from data prep and model training to deploying scalable ML systems in production. I enjoy working with multimodal data and advanced architectures like CNNs, Vision Transformers, and large language models to solve real-world problems.

Across startups and universities, I’ve prototyped medical AI workflows, explored vector databases for retrieval augmented generation, and delivered production-grade pipelines with a focus on performance and reliability. I’m passionate about turning complex data into actionable insights and collaborating with cross-functional teams to ship impactful AI software.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Machine Learning Engineer at Soliton Technologies
May 31, 2025 - August 26, 2025
Implemented large language models such as Llama 2, Llama 3, OpenAI Whisper, and NVIDIA Titanet using quantization techniques including 8-bit and 4-bit quantization. Fine-tuned models using Lora and QLora techniques. Currently working on agentic frameworks like Langgraph and OpenAI Agents SDK to advance AI applications.
AI Research Assistant at National University of Computer and Emerging Sciences
November 30, 2024 - August 26, 2025
Worked on rice disease detection with CNNs, Yolov8, and Segment Anything Model (SAM) under Dr. Amir Wali’s supervision. Applied segmentation techniques to enhance agricultural AI applications. Contributed to research papers currently under departmental review. Achieved runner-up positions at multiple AI competitions leveraging these technologies.
Machine Learning Intern at Netsol Technologies
September 30, 2024 - August 26, 2025
Utilized Retrieval-Augmented Generation (RAG) for data fetching in response to complex queries. Applied sentence transformers for high-quality embeddings and investigated multiple VectorDB solutions like Qdrant, ChromaDB, and PineCone for inference optimization.
Software Engineer at Strategic Systems International
June 1, 2025 - Present
Developing a coding assistant using Langgraph, Amazon S3, and Amazon Bedrock. Integrated various MCP Servers including Atlassian Jira, GitHub, and Fetch to provide enhanced functionality. Applied multiple VAE architectures to classify quantum particle sensor data as gluon or quark particles.
Machine Learning Engineer at Soliton Technologies
June 1, 2024 - May 1, 2025
Practically worked with LLMs including Llama 3, OpenAI Whisper and NVIDIA Titanet using quantization techniques like 8-bit and 4-bit quantization and finetuned them using LoRA/QLoRA for highly complex medical data. Worked on agentic frameworks including Langgraph and OpenAI Agents SDK for medical data.
AI Researcher at National University of Computer and Emerging Sciences
March 1, 2024 - November 1, 2024
Recently worked on and submitted a research paper on rice disease detection using CNNs, YOLOv8, Segment Anything Model (SAM) and segmentation techniques under the supervision of Dr. Amir Wali (HoD AI & Product). Runner Up in SOFTEC ’24 AI Competition.
Machine Learning Engineer at Netsol Technologies
August 1, 2024 - September 1, 2024
Used RAG algorithms like HNSW, ANN etc. for relevant data fetching given an extremely complex query. Researched various VectorDBs including Qdrant, ChromaDB and PineCone for inference suitability.
Machine Learning Engineer at Strategic Systems International
June 1, 2025 - Present
Working on Langgraph, Amazon S3 and Amazon Bedrock to create a coding assistant using a microservices architecture. Practically integrated several MCP Servers including Atlassian Jira, GitHub and Google Calendar. Deployed production ready AI models and workflows on AWS Fargate and EC2. Worked on several AWS services including Fargate, EC2, Load Balancing, EKS, ECS, Lambda, Glue and Amazon Bedrock. Used semantic caching via Redis to reduce latency and optimize LLM workflows.

Education

B.S. in Computer Science at National University of Computer and Emerging Sciences
August 1, 2021 - June 1, 2025
Bachelor of Science in Computer Science at National University of Computer and Emerging Sciences
January 11, 2030 - March 19, 2026

Qualifications

Machine Learning Specialization by Stanford Online
January 11, 2030 - August 26, 2025
Deep Learning Specialization by DeepLearning.AI
January 11, 2030 - August 26, 2025
Data Analytics by Google
January 11, 2030 - August 26, 2025
Machine Learning Specialization by Stanford Online
January 11, 2030 - March 19, 2026
AI Data Analytics by Google
January 11, 2030 - March 19, 2026

Industry Experience

Education, Software & Internet, Healthcare, Life Sciences, Agriculture & Mining, Professional Services, Media & Entertainment