You will get PSD, Figma, Sketch, Adobe XD, Design within your Timeline
Project details
Experience UI/UX designer with 4+ years of robust experience in working with project teams to develop user-friendly and appealing application interfaces and mobile apps for users. I have a firm grip over Figma, AdobeXD, Adobe Photoshop, Illustrator, After Effects, Zeplin and others.
I can help you design Food POS system, Ecommerce web projects, Restaurant management systems, Social media market designs and contents, Print Media graphic designs and others.
I can help you design Food POS system, Ecommerce web projects, Restaurant management systems, Social media market designs and contents, Print Media graphic designs and others.
Main Type
Email Templates, Landing Pages, Mobile Apps, Web Apps, Website, OtherFile Format
JPG, PDF, PNG, PSD, SWF, AI, BMPR, EPS, SVG, ICO, OtherWhat's included
| Service Tiers |
Starter
$90
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 4 |
Source Files | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $50
Additional Revision
+$10
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Rabih A.
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Rabih A.
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Rabih A.
Nov 24, 2025
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Jamshed and his team have been phenomenal.
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Rabih A.
Nov 16, 2025
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Tufan Baris Y.
Feb 16, 2022
Urgent Solana Smart Contract Developer
Unfortunalty, Jamshed Khan was not capable enough to complete the task.
About Jamshed
AI Engineer | Computer Vision | NLP | Generative AI | MLOps
100%
Job Success
Lahore, Pakistan - 7:14 pm local time
From building backend services and AI pipelines to deploying scalable, low-latency solutions on cloud platforms, I deliver robust, production-ready systems optimized for real-world applications.
⚙️ Skills & Expertise
🧠 Programming & Scripting
Python: End-to-end ML workflows, data processing, deployment
C/C++: Performance-critical applications, embedded systems
CUDA & Bash: GPU acceleration, automation & system scripting
🧱 ML & Deep Learning Frameworks
PyTorch, TensorFlow: Custom neural networks, scalable systems
Hugging Face, Unsloth: LLM fine-tuning & inference
OpenVINO, DLStreamer: Real-time edge & server inference
Scikit-learn: Classical ML, data preprocessing
👁️🗨️ Computer Vision
Models: YOLOv5/v8, Mask/Faster R-CNN, DeepLabv3+, ViTs, SAM
Libraries: OpenCV, Detectron2, Albumentations, GStreamer
Applications: Face recognition, pose estimation, object tracking
🎨 Generative AI
Models: GANs, VAEs, Stable Diffusion, LoRA/QLoRA fine-tuning
Multimodal: BLIP, Qwen2-VL, LLaVA for VQA & image captioning
💬 Large Language Models (LLMs)
Models: GPT-4, Claude, Mistral, LLaMA 2/3, Qwen, Gemma
Techniques: RAG, Chain-of-Thought, Tool Use, Function Calling
Optimization: LoRA/QLoRA, bitsandbytes, BLEU/ROUGE evaluation
📚 NLP & Natural Language Understanding
Tasks: Summarization, NER, STT, sentiment analysis, predictive typing
Models: BERT, RoBERTa, GPT, T5, Whisper, DeepSpeech
Systems: Multi-turn dialogue, intent/entity extraction, structured execution with LLMs
🔍 Retrieval Systems
Frameworks: LangChain, LangGraph, LlamaIndex, LangServe
Databases: FAISS, ChromaDB, Pinecone, Redis, Weaviate
Methods: Semantic search, chunking, routing, agent orchestration
🚀 MLOps & Deployment
Tools: Docker, Git, MLflow, Ollama, llamacpp, GroqCloud
Pipelines: CI/CD, automated training/inference flows
Optimization: Quantization, KV caching, latency reduction
🌐 Web & Backend Development
Framework: FastAPI – RESTful APIs for AI systems
Databases: MySQL, PostgreSQL, MongoDB
☁️ Cloud Platforms
AWS: EC2, Lambda, S3, Bedrock, SageMaker
GCP: Vertex AI
Azure: Azure ML
📌 Highlighted AI Projects
🔹 Althea AI – Medical Call Representative
Built an autonomous call assistant for clinics using fine-tuned Ultravox (LLM).
Used QLoRA for efficient function calling, deployed on GCP for low-latency response.
🔹 Allah-u-Alim – Islamic Query Assistant
Delivered contextual, scholar-reviewed Islamic answers via RAG.
Deployed with Claude 3-Haiku, LangChain, and LlamaIndex on AWS.
🔹 LexiUS – Legal Assistant for American Law
LLaMA 3-based RAG assistant for legal queries and precedents.
Utilized BM25 and TF-IDF with customized embeddings for legal accuracy.
🔹 ProvBot – Email Automation & Order Management
End-to-end email parsing and Jira-integrated order system using NLU models.
Extracted structured data with BERT-based entity models and automated task execution.
Steps for completing your project
After purchasing the project, send requirements so Jamshed can start the project.
Delivery time starts when Jamshed receives requirements from you.
Jamshed works on your project following the steps below.
Revisions may occur after the delivery date.
Empathize with the user
Learning about the audience we are going to target
Identifying the user needs
Defining the user's problem and identifying what actually needed.