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Kaleem Ullah Q. AI, NLP and Chatbot Platforms

My name is Kaleem Ullah Q. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Python, NLP Tokenization, LLM Prompt Engineering, AI Audio Generation, ChatGPT, etc.. I hold a degree in Master of Computer Applications (MCA), Doctor of Philosophy (PhD), . Some of the notable projects I've worked on include: Accelerating Training of Recursive Reasoning Models, MARBLE is a multi-agent, rule-based LLM reasoning engine, Ai Public Speaking System, Understanding the Business of Online Affiliate Marketing, RDoLT: Framework for Superior Reasoning & Knowledge Propagation in LLM, etc.. I am based in Chengdu, China. I've successfully completed 6 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • AI, NLP and Chatbot Platforms

    2 years

  • Python

    1 Year

  • NLP Tokenization

    1 Year

  • LLM Prompt Engineering

    1 Year

Additional skills

  • Python
  • NLP Tokenization
  • LLM Prompt Engineering
  • AI Audio Generation
  • ChatGPT
  • ChatGPT API Integration
  • Chatbot Development
  • Hugging Face
  • GitHub
  • Artificial Intelligence
  • Natural Language Generation
  • LangChain
  • Chatbot
  • LLaMA
  • Gemini

Direct hire

Potentially possible

Previous Company

Zhejiang University

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Experience Highlights

Accelerating Training of Recursive Reasoning Models

Recursive reasoning models rival LLMs but suffer from high training costs. We propose CGAR (Curriculum Guided Adaptive Recursion), a methodology applying curriculum learning to architectural depth. By

MARBLE is a multi-agent, rule-based LLM reasoning engine

MARBLE is a multi-agent LLM engine designed to predict traffic accident severity, a task hampered by incomplete data and class imbalance. 🚗 It decomposes the problem, assigning specialized agents to

Ai Public Speaking System

This app helps students enhance their public speaking skills through structured practice and AI-assisted feedback. Coaches can evaluate student submissions using AI-generated scoring, streamlining the

Understanding the Business of Online Affiliate Marketing

Our groundbreaking study provides the first comprehensive analysis of the affiliate marketing ecosystem, examining 467,219 offers, 124,462 links, and 556 networks over 13 months. We revealed key trend

RDoLT: Framework for Superior Reasoning & Knowledge Propagation in LLM

RDoLT (Recursive Decomposition of Logical Thought) is a cutting-edge framework enhancing reasoning in Large Language Models. It tackles complex tasks by breaking them into manageable sub-tasks, employ

Education

  • Southwestern University of Finance and Economics

    Master of Computer Applications (MCA) in Computer Application Technology

    2019-01-01-2021-01-01

  • Southwest Jiaotong University

    Doctor of Philosophy (PhD) in Computer science

    2022-01-01-2026-01-01

  • Beijing Language and Culture University

    in Computer science

    2016-01-01-2018-01-01

Languages

  • English (Native or Bilingual)
  • Hindi (Fluent)
  • Urdu (Native or Bilingual)
  • Chinese (Fluent)