Abdul Basit
I am currently an AI Research Intern at Orange Innovation, completing my Master's degree in Machine Vision and Artificial Intelligence at the University of Paris-Saclay. I specialize in LLMs, VLM, Video Language understanding, Computer Vision, Deep Learning, Fine-tuning, RAG, Graphs, and AI-agents.
Looking for PhD opportunities and Research Internships
Paris, France | Email: basitmal36@gmail.com
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Education
Master in Machine Vision and Artificial Intelligence
2024 - 2026University of Paris-Saclay
Bachelor of Engineering (EE)
2020 - 2024Bahria University
Research & Engineering Experience
AI Research Engineer (Intern) @ Orange Innovation
Feb 2026 - PresentModeling network data, complex topologies, and building performance-enhanced GNNs. Developing end-to-end ML pipelines for KPI extraction, custom training loops, and distributed training on clusters.
Multimodal Text-Guided Video Segment Search
Conducted a comprehensive study on state-of-the-art techniques for text-guided temporal video retrieval. Focused on retrieving specific moments based on natural language queries by studying uniform, adaptive, and dynamic sampling strategies.
3-D Reconstruction of Scenes from Images
Analyzed state-of-the-art ML techniques for 3D reconstruction from 2D images, including NeRF, Instant NeRF, PixelNeRF, Gaussian Splatting, and Neuralangelo. Evaluated advancements in volume rendering, hash encoding, and Signed Distance Functions.
Style Transfer & GAN-Based Data Augmentation
Built custom CNNs to measure data augmentation impacts. Developed Conditional GANs (C-GANs) with progressive resolution growth to generate high-quality synthetic data, significantly improving CNN classifier performance. Implemented CycleGAN for unpaired image-to-image translation.
AI-Based Plant Monitoring System (Funded)
Deployed 5 different CNN architectures (ResNet50, VGG16/19, MobileNet V1/V2) on a Raspberry Pi using TF Lite for real-time disease detection. Integrated the AI system onto the end-effector of a Cable-Driven Parallel Robot operated via Python joystick libraries.
Engineering Intern @ Aquagen Pvt.Ltd
Aug 2023 - Sept 2023Designed PLC code for process automation, ensuring accurate feedback from sensors. Identified and resolved issues in the PLC system, and upgraded the HMI code for monitoring plant generation.
Technical Projects
- Implemented the original Transformer and Vision Transformer paper from scratch using PyTorch.
- Fine-tuned (Instruction-based) Mistral-7B using Q-LoRA on the Stanford Alpaca Dataset.
- Built a Multimodal Vision Language Model from scratch (PaliGemma).
- Developed a Small Language Model using Reinforcement Learning for Arithmetic Operations.
- Implemented LLaMA-2 from scratch using PyTorch.
- Implemented CLIP from scratch in JAX/Flax.
- Performed LLM alignment using PPO/DPO.
Technical Skills
Programming & Frameworks: Python, PyTorch, JAX, Flax, TensorFlow, PyGAD, C++, C, Verilog, VHDL, Huggingface, LLM APIs, Matplotlib, OpenCV, Pillow, Git/GitHub.
Languages: English (Fluent), French (Actively Learning).
Hackathons, Honours & Awards
Mistral AI MCP Hackathon
2025Integrated Facebook with LeChat to manage account actions and extract insights directly on the LeChat interface using Alpic.
Activate Your Voice Hackathon
2026Created a memory-persistent conversational AI agent to automate various tasks.
- National Grassroots Research Initiative Fund: Awarded NGIRI Fund for Bachelor's Thesis.
- Government of Pakistan: Awarded a Laptop from PMYLS.
Recommendations
- Miss Kahina Mokrani (Orange Innovation) - Supervisor at Orange | Email: kahina.mokrani@orange.com
- Dr. Hedia Tabia (University of Paris-Saclay) - Supervisor in Masters | Email: hedi.tabia@univ-evry.fr
- Dr. Abdul Attayyab Khan (Bahria University) - Supervisor in Bachelors | Email: AAKHAN.BUKC@bahria.edu.pk