M ALI HAMZA

AI research engineer at INFINIQ, Seoul, S. Korea.
PhD student at NDSLabs, Sangmyung University, S. Korea.

Previously, I worked as an AI engineer at VisionIn, S. Korea.

Phone: +82-10-3305-1540

Address: Seoul, South Korea.

Work Experience

(2025.05–Present) AI research engineer at INFINIQ, Seoul, S. Korea. (On-site)
(2024.12–2025.05) AI Research Engineer at VisionIn, Seoul, S. Korea. (On-site)
(2020.3–2024.10) AI Research Engineer at NDSLabs, Sangmyung University, South Korea. (On-site)
(2020.8–2024.8) AI Researcher at Canvass Labs, Inc. California, USA. (Remotely)
(2019.9–2020.3) Software Engineer at Finz Games, Lahore, Pakistan. (On-site)
(2017.2–2019.5) Associate Software Engineer at System Junction Pvt, Bahawalpur, Pakistan. (On-site)

Education

Prof. Hyun-Chul Kim [hkim@smu.ac.kr] (Sangmyung University, South Korea).

Prof. Akmal Khan [akmal_shahbaz@yahoo.com] (The Islamia University of Bahawalpur, Pakistan ).

Mr. Peter Shin at Canvass Labs. Inc., California, USA.

Recent Research/Industrial Projects

(2024 - Present) Generating Text from Source Code (Code-2-Text).

Developed transformer-based encoder-decoder for natural text generation from code.
Worked on SOTA aglo such as LoRa, PEFT, Bitsandbyte, Transformers, Seq2Seq, and multimodal.
Optimized TopicGPT and BERTopic for semantic analysis of the generated text.

(2024 - Present) Multimodal Vision Language Models (Llama 3.2 Vision, NVLM, Llava).

Working to detect patterns based on facial expression, audio, and text.
Training multimodal vision language models for processing YouTube videos to detect common patterns.
Fine-tuning Llama 3.2 Vision model on various videos, audio, and text to find patterns.
Hands-on experience on recent vision LLMs (Llama 3.2 vision, NVLM, Llava, Molmo, etc.)

(2024 - Present) AI Chatbot for Research Assistant using LLaMA 3.2

Developed a cutting-edge AI-powered research assistant chatbot using the LLaMA 3 model.
Fine-tuned LLaMA 3 for natural language understanding and generation tasks, enabling the chatbot to assist researchers by generating accurate research summaries, technical insights, and literature reviews.
Applied Generative AI techniques and Prompt Engineering to enhance the chatbot’s response accuracy and efficiency for academic and technical queries.
Integrated multi-modal features to process various inputs like text, code, and research papers, improving user interaction and experience.

Technical Skills

NLP & Large Language Models:

- Training, fine-tuning, and deploying LLMs (LlaMA 3/2/1 series, BERT, GPT-4, Alpaca, Mistral, Solar, NVLM, Llava, Molmo).
- Text Classification, Sequence Labeling, Text Generation, Transformers, Seq2Seq.
- LoRa, PEFT, Adapter, PyTorch, DeepSpeed, Bitsandbtye.
- Experience with enhancing models like LlaMA, BERT, GPT, Falcon, Mistral, and other transformer-based architectures.

Generative AI:

Generative AI techniques and applications (GANs, Text-to-Image Models, Generative Data Augmentation, Vision LLMs).
Generative models, Diffusion models. Parameter-efficient fine-tuning (PEFT), Retrieval-augmented generation (RAG).

Machine Learning & AI Frameworks

TensorFlow, PyTorch, Scikit-learn, and Keras.
Hugging Face Transformers and Apache Spark.
Attention Mechanisms, Transfer & Reinforcement Learning, Semi-supervised Learning

Data Science & Analytics:

Data cleaning and preprocessing.
Feature Engineering and selection.
Machine Learning Algorithms (Supervised, unsupervised, semi-supervised, reinforcement and transfer learning.).
Model evaluation and tuning (e.g., cross-validation, hyperparameter optimization).
Data visualization and storytelling (using tools like Tableau, Matplotlib).

Computer Vision

Image classification, object detection, semantic segmentation, anomaly detection.
OpenCV, YOLO, Faster R-CNN, SSD for vision tasks.

Software Engineering & DevOps:

MLOps practices for deploying and managing ML models in production.
MLflow, Docker, Kubernetes, GitHub, Jira, Agile, CI/CD Pipelines, Flask, REST APIs.
Building and managing data pipelines and ETL processes.
CI/CD pipelines for automated testing and deployment.
Collaboration and version control best practices.

Tools & Technologies:

Other Key Competencies:

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