You will get an expert Python developer for machine learning and deep learning projects
Project details
I specialize in delivering end-to-end machine learning and deep learning solutions using Python. With expertise in TensorFlow, PyTorch, Keras, and scikit-learn, I transform complex data into actionable insights and powerful predictive models.What sets me apart is my commitment to understanding your specific business needs and delivering production-ready solutions, not just proof-of-concepts. I handle everything from data preprocessing and feature engineering to model development, optimization, and deployment.My approach combines technical excellence with clear communication. You'll receive clean, well-documented code, detailed performance reports with visualizations, and ongoing support to ensure your model performs optimally in real-world scenarios.Whether you need computer vision, NLP, time series forecasting, or custom neural networks, I deliver high-quality work on time. I prioritize code efficiency, model accuracy, and scalability to ensure your ML solution grows with your business needs.Let's discuss your project and create an intelligent solution that drives real results.
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, Databricks MLflow, deeplearn.js, Deeplearning4j, fastText, Fiddler.ai, GPT-3, Keras, MLflow, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Sonnet, SQL, Stanford CoreNLP, TensorFlow, Word2vecWhat's included
| Service Tiers |
Starter
$49
|
Standard
$99
|
Advanced
$149
|
|---|---|---|---|
| Delivery Time | 4 days | 6 days | 8 days |
Number of Revisions | 2 | 4 | 9 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $60
Additional Revision
+$1
Additional Model Variation
+$10
Additional Graph/Chart
(+ 1 Day)
+$10
Model Validation/Testing
(+ 1 Day)
+$10Frequently asked questions
About Sheryar
AI Engineer | LLM & RAG Expert | Chatbots | Voice Agents | Automation
Gilgit, Pakistan - 9:05 am local time
What I Build For You
- 𝐋𝐋𝐌 & 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Production RAG pipelines, vector databases (Pinecone, Weaviate, Chroma, FAISS), hybrid search, LangChain, LlamaIndex, semantic retrieval, prompt engineering, 95%+ accuracy optimization.
- 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬: Enterprise chatbots with GPT-4, Claude, custom LLMs, multi-turn conversations, CRM integration (HubSpot, Salesforce, Zendesk), multi-channel deployment (web, WhatsApp, Slack, SMS).
- 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬: End-to-end voice systems with Whisper (STT), ElevenLabs/Play.ht (TTS), Twilio, Vapi, Retell AI, real-time conversations, call analytics, appointment booking, support automation.
- 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Autonomous agents with CrewAI, LangGraph, AutoGen, tool-use agents, API integrations, multi-agent orchestration, agent memory, ReAct pattern, workflow automation.
- 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: n8n, Make, Zapier workflows, custom API development (RESTful, GraphQL, WebSocket), event-driven architecture, CRM automation, ETL pipelines, database optimization.
- 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Python, FastAPI, Django, React, Node.js, PostgreSQL, MongoDB, Redis, AWS/GCP/Azure deployment, Docker, Kubernetes, CI/CD, monitoring.
Tech Stack
LLM & AI: OpenAI GPT-4, Claude 3.5 Sonnet, Llama 3, Mistral, Gemini, ChatGPT API
Frameworks: LangChain, LlamaIndex, Hugging Face, CrewAI, LangGraph, AutoGen
Vector DBs: Pinecone, Weaviate, Chroma, FAISS, Qdrant, Elasticsearch
Voice Tech: Whisper, ElevenLabs, Play.ht, Deepgram, Twilio, Vapi, Retell AI
Automation: n8n, Make, Zapier, Temporal, Node-RED
Backend: Python, FastAPI, Flask, Django, Node.js, Express.js
Databases: PostgreSQL, MongoDB, Redis, Supabase, Firebase
Cloud: AWS, GCP, Azure, Docker, Kubernetes
Why Work With Me
- Deep Technical Expertise – I architect LLM systems, optimize RAG pipelines, and build production infrastructure—not just API integrations
- Performance-Driven – Optimized for latency, accuracy, and cost-efficiency with real metrics that matter
- End-to-End Delivery – From architecture design to deployment and monitoring—you get complete, working solutions
- Clear Communication – Technical depth explained simply with daily updates and transparent timelines
- Proven Results – RAG systems with 95%+ accuracy, chatbots handling 10K+ daily conversations, voice agents reducing support costs by 60-70%
Let's Build Your AI Solution
Need an AI Engineer who can architect sophisticated systems that actually work at scale?
Message me with your challenge, timeline, and budget—I'll respond with a clear technical approach and transparent estimate.
Let's turn your AI vision into production reality.
Steps for completing your project
After purchasing the project, send requirements so Sheryar can start the project.
Delivery time starts when Sheryar receives requirements from you.
Sheryar works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis & Data Review
Review project requirements, analyze the dataset, identify data quality issues, and define success metrics and KPIs.
Data Preprocessing & Feature Engineering
Clean and preprocess data, handle missing values, perform feature selection/engineering, and split data for training/testing.