GeezerVison

AI Engineer — Contract

AlphaTechLogics

Mar 2026 – Present

• Advises and drives advanced Generative AI R&D for production-grade LLM deployment across client verticals.
• Implemented specialized AI consulting services in multimodal system design, RAG optimization, and agentic workflow automation, reducing AI feature deployment time by 30%.
• Works cross-functionally with product and engineering teams to define AI roadmaps and evaluate emerging model technologies.

AI Engineer — Full-Time

AlphaTechLogics

Feb 2025 – Feb 2026

• Developed FaseehGPT, a small transformer model for Arabic text generation, improving morphological understanding and inference speed by 40% in low-resource settings.
• Created independent agentic AI systems with LangGraph and CrewAI to automate client SaaS workflows, reducing manual effort by 50%.
• Led end-to-end LLM fine-tuning projects (QLoRA/PEFT) for enterprise clients and integrated domain-specific models into FastAPI architectures.
• Designed scalable backend services for AI agents, optimized inference latency, and integrated solutions with client software ecosystems.

Research Lab Coordinator — Smart Technology Lab

Islamia College University Peshawar

Jan 2026 – Present

• Coordinates the Smart Technology Lab research team and aligns the project portfolio with institutional and industrial research goals.
• Sets best practices for experiment tracking, model versioning, and reproducibility with W&B, DVC, and Hugging Face Hub.
• Facilitates collaboration among faculty, student researchers, and industry partners to convert research into products and publications.
• Conducted Generative AI, LLM, and Computer Vision seminars, paper reading sessions, and hands-on sessions for 30+ participants.

AI Research Engineer

Islamia College University Peshawar

Jan 2025 – Dec 2025

• Researches computer vision, NLP, LLMs, multimodal learning, and efficient transformer training paradigms for non-English languages.
• Wrote two research papers under review on transformer optimization for low-resource languages and transformer models for medical imaging.
• Supervised undergraduate AI research projects from conception to implementation in computer vision and NLP.
• Co-developed algorithms for active research projects with faculty.

Long-form writing on models, tooling, and applied research.

• › LeWorldModel: Stable End-to-End Joint Embedding Predictive Architecture from Pixels LeWM learns end-to-end world models from pixels using JEPA with a single SIGReg regularizer — no reconstruction loss, no pretrained features, no temporal smoothness loss. Achieves 96% success on Push-T (vs 78% PLDM, 81% DINO-WM) with ViT-S predictor. Key insight: isotropic Gaussian latent constraint (SIGReg) replaces multiple regularizers; temporal straightening emerges implicitly. Jul 19, 2026
• › VL-JEPA: Joint Embedding Predictive Architecture for Vision-Language VL-JEPA learns a joint vision-language embedding space using only JEPA-style latent prediction + SIGReg regularization — no contrastive loss (CLIP), no generative loss (LLaVA), no reconstruction (MAE). Competitive zero-shot on ImageNet, Flickr30K/COCO retrieval, GQA/VQAv2 VQA. Jul 19, 2026
• › Attention Is All You Need — Paper Breakdown The Transformer replaces RNNs/CNNs with pure attention. Encoder-decoder stacks of self-attention + FFN achieve SOTA translation (28.4 BLEU EN-DE, 41.8 EN-FR) at fraction of training cost. Introduces multi-head attention, scaled dot-product attention, sinusoidal positional encoding. Jul 15, 2026

Open-source tools and applied systems.

• › QuantLLM A lightweight toolkit for quantizing, fine-tuning, and deploying LLMs on consumer hardware. Mar 1, 2025
• › DocsGPT A retrieval-augmented assistant for searching and exploring technical documentation. Feb 1, 2025
• › DarkGPT A GPT chat explorer for real-time conversations across multiple LLM providers. Aug 1, 2024