AI Engineer
Muhammad F. is an accomplished AI Engineer with a strong background in developing production-ready applications using a wide array of technologies such as FastAPI, LangChain, large language models (LLMs), Django REST Framework, Pinecone, and AWS including RDS, EC2, and S3. Proficient in designing robust RAG systems, chatbots, and vector-search pipelines, he brings expertise in integrating machine learning with web and mobile platforms, and building secure, scalable REST APIs. Muhammad’s technical skills encompass Python,…
AI Engineer
Silicon NexusSep 2024 — Present- Leading the development of AI-driven tools and automation pipelines using FastAPI, LangChain, and LLMs
- Continuously improving Aurelia (Crane Bot), a multilingual AI assistant for crane troubleshooting, which reduced support load by over 40%
- Built and optimized a NCERT-based Educational RAG system that allows students to select grades and chapters, generating contextual questions using vector search and LLMs
- Deployed a Math Question Generator powered by LLMs and custom logic, integrated with AWS RDS, enabling structured assessments and badge-based gamification
- Developed secure and scalable REST APIs using Django REST Framework to streamline data access and integrate ML pipelines with frontend dashboards
FastAPILangChainLLMsDjango REST FrameworkAWSData Science Trainee
Knowledge StreamsApr 2024 — Aug 2024- Developed and fine-tuned machine learning models for data analysis and forecasting tasks, supporting internal business intelligence workflows
- Worked with large datasets (100K+ rows) from diverse sources; performed data cleaning, transformation, and validation to ensure model-ready inputs
- Gained hands-on experience in real-world ML lifecycle management, including exploratory data analysis (EDA), performance tuning, and result presentation
- Applied feature engineering techniques and conducted model evaluation/optimization, leading to measurable improvement in model accuracy and runtime efficiency
Bachelor of Science in Computer Science - BS(CS)
GIFT University, Gujranwala, PakistanGujranwala, Pakistan2019 — 2023
AI Engineer
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Muhammad F. is an accomplished AI Engineer with a strong background in developing production-ready applications using a wide array of technologies such as FastAPI, LangChain, large language models (LLMs), Django REST Framework, Pinecone, and AWS including RDS, EC2, and S3. Proficient in designing robust RAG systems, chatbots, and vector-search pipelines, he brings expertise in integrating machine learning with web and mobile platforms, and building secure, scalable REST APIs. Muhammad’s technical skills encompass Python,…
- Projects completed2
- Hourly rate
- 0-2 years experience
- Member since Feb 2026
AI Engineer
Silicon NexusSep 2024 — Present- Leading the development of AI-driven tools and automation pipelines using FastAPI, LangChain, and LLMs
- Continuously improving Aurelia (Crane Bot), a multilingual AI assistant for crane troubleshooting, which reduced support load by over 40%
- Built and optimized a NCERT-based Educational RAG system that allows students to select grades and chapters, generating contextual questions using vector search and LLMs
- Deployed a Math Question Generator powered by LLMs and custom logic, integrated with AWS RDS, enabling structured assessments and badge-based gamification
- Developed secure and scalable REST APIs using Django REST Framework to streamline data access and integrate ML pipelines with frontend dashboards
FastAPILangChainLLMsDjango REST FrameworkAWSData Science Trainee
Knowledge StreamsApr 2024 — Aug 2024- Developed and fine-tuned machine learning models for data analysis and forecasting tasks, supporting internal business intelligence workflows
- Worked with large datasets (100K+ rows) from diverse sources; performed data cleaning, transformation, and validation to ensure model-ready inputs
- Gained hands-on experience in real-world ML lifecycle management, including exploratory data analysis (EDA), performance tuning, and result presentation
- Applied feature engineering techniques and conducted model evaluation/optimization, leading to measurable improvement in model accuracy and runtime efficiency
Bachelor of Science in Computer Science - BS(CS)
GIFT University, Gujranwala, PakistanGujranwala, Pakistan2019 — 2023
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