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Samran Elahi

@samranelahi

Senior Machine Learning Engineer at Rezunate AI, where I improved model accuracy by 76% and deployed LLaMA 3 and Mistral RAG pipelines.

Pakistan

Message

At Rezunate AI, I built and maintained Python backends handling 1M+ API requests per month, and migrated a monolith to microservices, cutting deployment time by 40%. I deployed ML pipelines that improved model accuracy by 76%.

I fine-tuned LLaMA 3 and Mistral and deployed RAG pipelines on GCP, AWS, and Azure, cutting inference latency by 30%. I also developed generative AI computer vision models and integrated GPT-4 with LangChain for smart assistants and content automation.

Previously, at Cancer Clarity, I built deep learning models for cancer detection using CT and histopathology images. At Softech WorldWide, I built a YOLO-based object detection system with real-time inference under 50 ms, and as a Research Assistant at FAST – NUCES, I worked on surveillance and video analytics models.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Rezunate AI

Jan 2025 - Present (1 year 9 months)

Built and maintained Python backends handling 1M+ API requests/month with 97.9% uptime. Migrated monolith to microservices, cutting deployment time by 40% and boosting scalability.

Python Django fastAPI Flask TensorFlow PyTorch scikit learn Docker Kubernetes CI CD React TypeScript Tailwind LLaMA 3 Mistral RAG GCP AWS Azure Stable Diffusion Gan Transformers Lang Chain GPT 4 Agile PEP8 Standards

Senior Data Scientist

Cancer Clarity

Jan 2023 - Dec 2024 (1 year 11 months)

Built deep learning models for cancer detection using CT and histopathology images, achieving around 70% accuracy on over 10,000 patient scans. Combined imaging, lab reports, and physical test data to improve prediction performance by 12%.

Deep Learning Computer Vision Computed Tomography (CT)Histopathology Image Processing data preprocessing HIPAA compliance Python TensorFlow PyTorch

Machine Learning Engineer

Softech WorldWide

Dec 2021 - Dec 2022 (1 year)

Built and maintained scalable REST APIs using FastAPI, integrated with ML models and deployed via Docker and Gunicorn. Designed backend services with PostgreSQL, Redis, and Celery, enabling asynchronous tasks and efficient data processing.

fastAPI Docker Gunicorn PostgreSQL Redis Celery Python YOLO Object Detection Active Learning Data Augmentation CI CD PEP8 Standards

Research Assistant

FAST – NUCES

Aug 2020 - Nov 2021 (1 year 3 months)

Researched and developed ML/DL solutions for real-time surveillance and video analytics. Worked on 3D Neural Networks and managed large-scale multimodal datasets.

Machine Learning Deep Learning Computer Vision 3D Neural Networks Video Analytics Raspberry Pi Edge Computing Python