Open to opportunities

Jalees Rahman

@jaleesrahman

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Ph.D. | Consultant | AI | ML | DL | CV | Generative AI | Agentic AI | LLMs | VLMs

Pakistan

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What I'm looking for

I’m looking to keep leading LLM evaluation and alignment—building reliable SFT/RLHF pipelines, designing smart eval strategies, and partnering cross-functionally to improve ethical, high-quality responses while continuously learning new tools and methods.

I’m a POD Lead (LLM) focused on LLM evaluation, alignment, and continuous improvement. I design and maintain efficient, high-quality R code to train, optimize, benchmark, and analyze model behavior for real user needs.

In my current role at Turing, I evaluate and rank AI model responses across diverse domains, ensuring alignment with predefined criteria. I also create comprehensive explanations and rationales for evaluations, lead Supervised Fine-Tuning (SFT) with task-specific datasets, and collaborate on RLHF to refine reward models.

Previously, I’ve worked as an LLM Developer at Turing, fine-tuning models such as Llama3, Llama4, and o1-mini for technical prompt generation using Python and C++. I’ve focused on RLHF, semantic alignment, and unit testing to improve reliability and performance.

Earlier in my career, I led ML development at AMIIQ for health-related computer vision, built end-to-end pipelines using YOLO and RAG at Genx Integrated Systems, and taught AI/ML/DL courses at KUST while completing doctoral research on Alzheimer’s detection and genetic analysis. I bring strong technical depth, effective collaboration, and a self-motivated drive to search, learn, and iterate—always with clarity, relevance, and technical accuracy in mind.

Experience

Work history, roles, and key accomplishments

Current

POD Lead (LLM) Evaluation

Current

Turing

Jun 2025 - Present (1 year 1 month)

Design, develop, and maintain R code to train and optimize AI models. Lead LLM evaluation and alignment work, including benchmarking, response ranking, supervised fine-tuning (SFT), and RLHF/reward model refinement.

Team Leadership Deep Learning LLM R Transformer Models Model Evaluation Code Review

Current

POD Lead – LLM Evaluation & Alignment

Current

Turing

Jun 2025 - Present (1 year 1 month)

Design, develop, and maintain efficient, high-quality R code to train and optimize AI models. Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement. Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria. Develop comprehensive explanations and rationales for evaluations, showcasing

Team Leadership Deep Learning R Transformer Models RLHF Methodologies

LLM Developer

Turing

Sep 2024 - Jun 2025 (9 months)

Responsible for fine-tuning LLMs (Llama3, Llama4, o1-mini) for technical prompt generation across AI/ML/NLP domains using Python and C++. Focused on RLHF, semantic alignment, and unit testing of model outputs.

LLM Natural Language Processing (NLP)Prompt Engineering Unit Testing Problem Solving Algorithm Design Dynamic Programming Python C

Team Lead (ML)

Amiiq

Sep 2024 - Mar 2025 (6 months)

As a Senior Machine Learning Engineer at AMIIQ, I lead the development and deployment of advanced ML and DL models for various health-related computer vision projects. My primary focus is leveraging cutting-edge techniques to analyze and interpret medical imagery, enabling more accurate diagnostics and enhancing patient outcomes. I collaborate closely with healthcare professionals, data scientists

Computer Vision Healthcare Web Development Team Leadership Deep Learning Big Data

Senior ML Engineer

Genx Integrated Systems

Sep 2023 - Aug 2024 (11 months)

Designed AI-powered solutions, including a voice-to-report system and industrial anomaly detection using YOLO and RAG. Built end-to-end pipelines with LLMs, semantic search, and custom datasets.

Computer Vision Deep Learning Medical Imaging Healthcare Machine Learning Natural Language Processing (NLP)YOLO Retrieval Augmented Generation (RAG)Semantic Search LLM

Lecturer

Kohat University of Science & Technology (KUST)

Sep 2023 - Aug 2024 (11 months)

Taught undergraduate and graduate courses in AI, ML, DL, and Data Structures. Mentored students, developed course materials, and supervised hands-on projects across AI and engineering domains.

Lecturer

Kohat University of Science & Technology

Sep 2023 - Aug 2024 (11 months)

Taught undergraduate and graduate courses in AI, ML, DL, and Data Structures. Mentored students and supervised hands-on projects while developing course materials.

Curriculum Development Student Mentoring

Doctoral Researcher

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

Oct 2020 - May 2024 (3 years 7 months)

Conducted research on Alzheimer’s detection and genetic analysis using deep learning, CNNs, and fMRI/MRI data. Developed multimodal classification models and published high-impact results in top journals.

Deep Learning Computer Vision Natural Language Processing (NLP)Machine Learning Self Management Data Science Speech Recognition

Teaching Associate

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

Oct 2020 - Sep 2023 (2 years 11 months)

Taught undergraduate and graduate courses including C++, OOP, AI, ML, DL, and Data Structures. Mentored students, developed course materials, and supervised hands-on projects across AI and engineering domains.

Deep Learning Generative AI Conversational AI Computer Vision Natural Language Processing (NLP)Machine Learning Data Science Speech Recognition

Data Analyst

Rehman Medical Institute

Oct 2019 - Oct 2020 (1 year)

Analyzed genomics and epidemiological data to detect DNA methylation patterns and model COVID-19 spread. Developed ML pipelines using R, Python, and Bioconductor for clinical insights and predictions.

Unsupervised Learning Self Management Data Science Computer Science R Python Bioconductor Genomics Data Analysis Epidemiologic Modeling DNA Methylation Analysis

Data Analyst

Rehman Medical Institute (RMI)

Oct 2019 - Oct 2020 (1 year)

Unsupervised Learning Self Management Data Science Computer Science

Graduate Research & Teaching Assistant

Ghulam Ishaq Khan Institute of Engineering Sciences and Tech

Sep 2017 - Jun 2019 (1 year 9 months)

Taught undergraduate labs including an introduction to computing and OOP. Performed managerial activities for senior project designs.

Computer Science Computer Vision Natural Language Processing (NLP)Data Science Object Oriented Programming (OOP)

Graduate Research And Teaching Assistant

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

Sep 2017 - Jun 2019 (1 year 9 months)

I taught different labs to undergraduate students, including an introduction to computing and OOP. I also did managerial activities for senior project designs.

Computer Science Computer Vision Natural Language Processing (NLP)Data Science