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rsprogram

Muhammad Rizwan

@rsprogram

AI , ML Engineer

Pakistan
English
About me
AI/ML Engineer with 5+ years of industry experience building and deploying production-grade intelligent systems across Generative AI, Computer Vision, and NLP. Specialized in Retrieval-Augmented Generation (RAG), Large Language Models, LangChain, LLaMA, and Hugging Face Transformers, with hands-on strength in OpenCV and YOLO. Experienced across the full ML lifecycle: data ingestion, model training, finetuning, MLOps, and deployment with FastAPI and Docker.... Read more

Skills

r
rsprogram
Muhammad Rizwan
Offline • 

See my services

AI Integrations
I will build a custom ai chatbot and rag application using python
From$90 / projectMore details

Portfolio

Work experience

People_Per Hour

AI/ML Engineer

People Per Hour • Self-employed

Sep 2024 - Present • 1 yr 10 mos

• Fine-tune and align LLMs using SFT and RLHF-style workflows, improving instruction following, reasoning quality, and response safety across 100+ AI notebooks. • Designed 20+ agent evaluation notebooks for Claude Opus/Sonnet, benchmarking reasoning, tool use, and multi-step task completion. • Built 2 client-facing AI chatbots with conversational memory demonstrating computer vision use cases for client products. • Built a RAG-based code generator chatbot for developers, enabling codebase Q&A and faster navigation across .cshtml/.cs assets. • Created 8+ computer vision pipelines (detection, tracking, pose estimation, segmentation) using OpenCV, YOLOv5/v8, MediaPipe, FFmpeg. • Deployed 10 ML/DL models (age prediction, emotion detection, face enhancer, mask segmentation) on AWS and RunPod using Docker and FastAPI.

Virtual_Attention

Machine Leaning Engineer

Virtual Attention • Full-time

Aug 2020 - Feb 2024 • 3 yrs 6 mos

Performed exploratory data analysis(EDA) on structuredand unstructured datasets to uncover patterns and inform modeling decisions. Cleaned,preprocessed, and visualized large datasets using Pandas, NumPy, and Matplotlib to supportdata-driven strategies. Built andevaluated machine learning models for classification and regression tasks using Scikit-learn. Built 30+ ML/DL models for classification, regression, NLP, segmentation, and object detection using Scikit-learn, PyTorch, TensorFlow, Keras. Developed voice AI workflows (STT, TTS, voice cloning with Bark) and LLM-driven conversational prototypes with Gradio and Hugging Face.