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Schedule Interview NowMy 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.
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Zhejiang University
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 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
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
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 (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
Master of Computer Applications (MCA) in Computer Application Technology
2019-01-01-2021-01-01
Doctor of Philosophy (PhD) in Computer science
2022-01-01-2026-01-01
in Computer science
2016-01-01-2018-01-01