You will get an end-to-end AI solution powered by LLMs
Project details
You will get a custom-built, end-to-end AI solution tailored to your business needs—from ideation to deployment. With expertise in large language models (LLMs), prompt engineering, and real-world AI applications, I design intelligent systems that automate processes, enhance decision-making, and drive growth. I specialize in integrating AI with databases, APIs, and cloud infrastructure using state-of-the-art tools. Every model is fine-tuned, optimized, and thoroughly tested to ensure reliability, scalability, and top-tier performance.
With hands-on experience in MLOps, model monitoring, and NLP tasks like text summarization, sentiment analysis, chatbots, and document classification, I bring a complete solution—not just code. My work is 100% original, documented, and production-ready, with full transparency throughout the process.
With hands-on experience in MLOps, model monitoring, and NLP tasks like text summarization, sentiment analysis, chatbots, and document classification, I bring a complete solution—not just code. My work is 100% original, documented, and production-ready, with full transparency throughout the process.
AI Algorithms
AdaBoost, AlexNet, Autoencoder, CycleGAN, Large Language Model, Multimodal Large Language Model, Radial Basis Function Network, Regression Analysis, StyleGAN, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Enhanced Classification, AI-Generated Art, AI-Generated Code, Automatic Speech Recognition, Conversational AI, Image Analysis, Image Upscaling, Machine Translation, Neural Machine TranslationAI Tools
Adobe Firefly, Bing AI, Copy.ai, GitHub Copilot, Hugging Face, Jasper AI, Microsoft 365 Copilot, Microsoft CNTK, NVIDIA AI Platform, Word2vecAI Models
AlphaCode, BERT, BLOOM, ChatGPT, Dolly, GPT-J, GPT-Neo, Jurassic-2, LLaMA, Midjourney AI, Naive Bayes Classifier, Stable DiffusionWhat's included
| Service Tiers |
Starter
$80
|
Standard
$150
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Batch Normalization | - | ||
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | |
MLOps | - | ||
Model Deployment | - | ||
Model Documentation | - | - | |
Model Monitoring | - | ||
Model Testing & Optimization | - | ||
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | |||
Source Code |
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BJ
Bertrand J.
Apr 3, 2026
AWS Support
Kashif is excellent !!!
MS
Muhammad S.
Mar 21, 2026
Senior AI Engineer & Agentic RAG Product Assistant Needed
Excellent experience working with this freelancer on a complex Agentic RAG system. They demonstrated strong expertise in building production-grade AI solutions integrating product catalogs, PDFs, and backend systems. The architecture was well thought out, accurate, and designed with proper guardrails to prevent hallucinations. Communication was clear and professional throughout the project. They focus on practical, scalable solutions rather than just code. Highly recommended for advanced AI and RAG-based projects.
SK
Sohail K.
Jul 31, 2025
Azure Devops - VM creation and playbooks
BJ
Bertrand J.
Jun 18, 2025
Aws support on AWS organization
I hired Kashif to help us set up and optimize AWS Organizations, including account structuring, consolidated billing, SCPs, and IAM role delegation. From start to finish, the experience was smooth, professional, and insightful. They demonstrated deep knowledge of AWS best practices, helped improve our security posture, and ensured everything was aligned with our business needs.
Communication was clear and timely, and all tasks were completed within the expected timeline. I highly recommend Kashif for anyone seeking expert-level AWS support. Looking forward to working with them again!
Communication was clear and timely, and all tasks were completed within the expected timeline. I highly recommend Kashif for anyone seeking expert-level AWS support. Looking forward to working with them again!
BJ
Bertrand J.
Jun 3, 2025
DevOps | AWS support
Kashif did a fantastic job on our project from start to finish. His technical expertise, attention to detail, and clear communication made the entire process smooth and efficient. He delivered high-quality work on time, met all our requirements, and even went beyond expectations in solving complex issues.
I highly recommend Kashif to anyone looking for a reliable, skilled, and professional freelancer. Looking forward to working with him again in the future!
I highly recommend Kashif to anyone looking for a reliable, skilled, and professional freelancer. Looking forward to working with him again in the future!
About Kashif
Automation Agent Developer, DevOps Engineer | Lindy, Agentic, K8s
93%
Job Success
Gilgit, Pakistan - 1:59 pm local time
Most "AI integrations" look great in a demo and fall apart in production. Hardcoded timestamps, brittle prompts, missing edge cases, they ship, then quietly fail at 3 AM. Mine don't. I catch that before launch, not after a client complaint.
8 years in software, 29 jobs delivered on Upwork, 93% Job Success, $20K+ earned. Recent example: a Vapi appointment-booking agent for a wellness clinic where I caught and patched production bugs, hardcoded timestamps, test placeholders, before go-live.
🎯 What I build
▸ AI Voice Agents (Vapi, Retell, Bland): Inbound and outbound calling for appointment booking, sales qualification, and support. Custom tools for slot availability, date validation, CRM writebacks, and graceful handoff to humans.
▸ Agentic RAG & LLM Integrations: Production RAG pipelines over PDFs, product catalogs, and internal docs. Tool use, memory, and routing across OpenAI, Claude, Gemini, and LangChain. Local models (Ollama) for data-residency requirements, plus MCP server integrations.
▸ Workflow Automation (n8n, Make, Zapier): Lead routing, document generation, system-to-system sync, and multi-step approval chains. If your team copies data between tools or regenerates the same documents repeatedly, that workflow is replaceable: I scope, build, and document it in days.
▸ Multi-Agent Systems (LangGraph, CrewAI, AutoGen): Orchestrated workflows where specialized agents handle research, writing, validation, and escalation. State machines, shared memory, retry logic, and human-in-the-loop checkpoints.
▸ Browser & Computer-Use Agents: Agents that navigate web apps, fill forms, and complete multi-step workflows. Built for tools that don't have good APIs.
▸ DevOps & Deployment (AWS, Docker, CI/CD): Building the agent is half the work. I deploy on AWS (EC2, ECS, Lambda), containerize with Docker, set up CI/CD, and add observability (logging, prompt tracing, cost monitoring) so your AI doesn't ship and silently fail.
📊 How I work
✔ Scoped proposal within 24 hours of a discovery call
✔ Weekly demo cycles, not month-long silence
✔ Production-grade code: logging, error handling, edge-case coverage
✔ Fixed-scope quotes, no surprise hourly creep
✔ Documentation your in-house team can maintain
⭐ Recent client feedback
"Excellent experience on a complex Agentic RAG system. Strong expertise in building production-grade AI solutions integrating product catalogs, PDFs, and backend systems."
📞 Next step
Send me the problem you're trying to solve, not a feature spec. I'll come back with a scoped approach, fixed price, and timeline. If we're a fit, we start. If not, you walk away with a clearer plan than you came in with.
Steps for completing your project
After purchasing the project, send requirements so Kashif can start the project.
Delivery time starts when Kashif receives requirements from you.
Kashif works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering & Consultation
Client shares detailed requirements and use-case. We may schedule a quick consultation to clarify objectives and expected outcomes.
Solution Design & Tech Stack Finalization
I will define the AI/ML approach, tools, and frameworks to be used. This includes choosing the right model type (e.g., LLM, NLP, etc.), architecture, and integrations.