Awais M.

Key Skills

Software

Other

Top Subject Matter

Large language models (LLMs)

GenAI training and evaluation

LLM RLHF/RLEF

Top Data Types

Text

Image

Top Task Types

RLHF

Fine-tuning

Freelancer Overview

ASE AI/ML. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, National University of Computer Emerging Sciences (FAST). AI-training focus includes data types such as Text and labeling workflows including RLHF and Fine-tuning.

Labeling Experience

Software Engineer (SSE) — DevSinc (LLM training initiatives)

OtherTextFine-tuning

Led large language model training, evaluation, and deployment efforts, emphasizing RLHF (human feedback) and supervised fine-tuning. Implemented prompt engineering strategies to maximize instruction adherence and contextual accuracy. Improved multimodal LLM systems by integrating text, image, and tabular datasets into training and evaluation pipelines.• Built scalable pipelines for training, evaluating, and deploying LLMs in production.• Designed prompt engineering strategies for instruction adherence and reduced hallucinations.• Integrated text, image, and tabular datasets to enhance multimodal capability.• Collaborated on model evaluation frameworks for response consistency optimization.

2023 - Present

ASE AI/ML

OtherTextRLHF

Worked on LLM evaluation and training workflows using reinforcement learning from human feedback and related techniques. Developed synthetic training data intended to improve model learning and response quality. Built and validated prompt strategies to ensure precise, context-aware outputs.• Evaluated LLMs on accuracy, efficiency, and instruction adherence.• Developed synthetic data for SFT and RLHF to improve responses.• Engineered prompts to refine model understanding and context handling.• Designed test cases for model validation across Django, Flask, and React.

2022 - 2023

Education

Work History