We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Maarij Z. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Natural Language Processing, PyTorch, Python Scikit-Learn, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: LLM Agent with Tavily & Pinecone, AI Crypto Trading Agent, Retail Q&A Tool, Food Assistant Chatbot, Log Classification System. I am based in Lahore, Pakistan. I've successfully completed 5 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
Main technologies
0 years
1 Year
1 Year
1 Year
Potentially possible
CrewLogix
Intelligent agent that performs web searches using Tavily API and applies RAG through Pinecone to answer queries from uploaded text documents.
An autonomous crypto market analyst that leverages LLMs to synthesize real-time technical indicators (RSI, MACD) and news sentiment, delivering data-backed market insights and trading signals.
• Built a question-answering system combining LLM few-shot learning with MySQL for querying structured retail data. • Integrated LangChain pipelines for Retrieval Augmented Generation and natural lang
• Developed a DialogFlow-based chatbot with multiple intents to handle food ordering, tracking, and delivery updates. • Connected the chatbot to a FastAPI backend, integrating it with a MySQL database
Built a hybrid log classifier using three-tiered logic to handle structured and unstructured data. • Applied Regex for rule based classification and Logistic Regression for labeled datasets • Integrat
Bachelor of Computer Science (BCompSc) in
2025-01-01-2029-01-01