10/06/2025 updated
100 % available
AI/ML Engineer with expertise in Large Language Models and Computer Vision
karachi, Pakistan
Only remote
Bachelor of Science in Software EngineeringJavaScriptArtificial IntelligenceAlgorithmic TradingAmazon Web ServicesAmazon Elastic Compute CloudAmazon S3Data AnalysisFinancial Data AnalysisArtificial Neural NetworksComputer VisionCloud ComputingDatabasesInformation EngineeringPython (Programming Language)PostgreSQL
Large Language Models
Expertise in implementing and optimizing LLMs including GPT-4, LLaMA-3.3, and Google Gemini with 92% query accuracy and 45% faster response times.
Machine Learning Engineering
Development of compact neural network models achieving 92% performance of large models while reducing inference time by 75% for edge device deployment.
Computer Vision
Implementation of CNN-based facial recognition systems with 97% accuracy and YOLO object detection reducing shoplifting by 30%.
Data Science & Analytics
Quantitative analysis on 10+ million rows of financial data to develop predictive stock price models using time series analysis and algorithmic trading strategies.
Natural Language Processing
Development of RAG-based chatbots with FAISS vector embeddings, improving customer query resolution by 21% and implementing semantic search with 92% accuracy.
Software Development
Full-stack development skills with Python, SQL, JavaScript, and cloud deployment on AWS (EC2, S3, Lambda) with Docker containerization.
Data Engineering
Experience with various databases and vector stores including PostgreSQL, MySQL, MongoDB, FAISS, ChromaDB, and Pinecone for efficient data management.
Expertise in implementing and optimizing LLMs including GPT-4, LLaMA-3.3, and Google Gemini with 92% query accuracy and 45% faster response times.
Machine Learning Engineering
Development of compact neural network models achieving 92% performance of large models while reducing inference time by 75% for edge device deployment.
Computer Vision
Implementation of CNN-based facial recognition systems with 97% accuracy and YOLO object detection reducing shoplifting by 30%.
Data Science & Analytics
Quantitative analysis on 10+ million rows of financial data to develop predictive stock price models using time series analysis and algorithmic trading strategies.
Natural Language Processing
Development of RAG-based chatbots with FAISS vector embeddings, improving customer query resolution by 21% and implementing semantic search with 92% accuracy.
Software Development
Full-stack development skills with Python, SQL, JavaScript, and cloud deployment on AWS (EC2, S3, Lambda) with Docker containerization.
Data Engineering
Experience with various databases and vector stores including PostgreSQL, MySQL, MongoDB, FAISS, ChromaDB, and Pinecone for efficient data management.
Languages
EnglishFluentHindiNative speaker
Project history
Developed production-ready PDF AI Assistant using LangChain, HuggingFace embeddings, and multiple LLM integrations. Reduced customer support costs by 37% through automated intelligent query resolution system.
Engineered synthetic data generation pipeline using LLaMA-3.3 70B and GPT-4. Developed compact neural network models for edge devices. Conducted quantitative analysis on financial data and implemented backtesting framework for trading strategies with 23% improved returns.
Developed custom LLM-based chatbot using GPT-4, RAG, and FAISS vector embeddings. Led data analysis projects applying statistical methods and machine learning models to extract business insights from large datasets.