Summary
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, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, MySQL, MongoDB, PostgreSQL, ChromaDB, Qdrant, and cloud-based deployment with Docker and Postman. He has hands-on experience with Deepgram, Whisper, AssemblyAI, and ElevenLabs for audio processing. His project work includes leading end-to-end solutions for podcast semantic search at Podlogix and developing the Aurelia AI assistant for crane operations. He is recognized for his achievements as a Kaggle Notebook Master, a 5-star Python certified developer on HackerRank, and for ranking in the top percentiles on LeetCode and key technical assessments. Muhammad holds a Bachelor of Science in Computer Science from GIFT University and is certified in IBM Data Science, Generative AI, and Machine Learning, making him an excellent candidate for organizations seeking expertise in advanced NLP, machine learning model deployment, and scalable AI-driven solutions.
Meet Muhammad F.
Assessment Scores
Great on Implement LRU Cache Algorithm, Difficulty Medium
Great on Understanding Rate Limiting in APIs, Difficulty Medium
Great on Ensuring Real-time Data Accuracy in Mobile App, Difficulty Medium
Great on Reverse Digits of a 32-bit Integer, Difficulty Easy
Great on Word Search in Grid, Difficulty Medium
Perfect on Validate Parentheses in a String, Difficulty Hard
Experience
Silicon Nexus
AI Engineer
Full-Time
Sep 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
Technologies:
FastAPI
LangChain
LLMs
Django REST Framework
AWS
Knowledge Streams
Data Science Trainee
Full-Time
Apr 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
Projects
Designed and implemented a podcast-native AI assistant for Podlogix that transcribes, embeds, and semantically searches long-form military podcast content
Developed Aurelia, an AI assistant designed for crane operators, service teams, and site managers, providing instant access to thousands of manuals and troubleshooting guides
Education
Bachelor of Science in Computer Science - BS(CS)
2019 - 2023
GIFT University, Gujranwala, Pakistan
Gujranwala, Pakistan
