You will get hugging face transformers langchain bert gpt gemnipro palm2 llama2 claude
Top Rated
Project details
I am happy to have you here. I offer:
Transformers Training/Finetuning for:
• Q&A
• Stable Diffusion
• Zero-Shot Learning
• Image Generation from Prompts
• Text Generation from Prompts
• Paraphrase Detection
• Summarization
• Translation
• Speech Recognition
• Sentiment/Emotion Analysis
• Sentence Completion
• Named Entity Recognition (NER)
• Part-of-Speech (POS) Tagging
• Text Parsing
• Document Classification
Retrieval Augmented Generation (RAG):
• Custom chat app/chatbot for intelligent answers within context by uploading desired data (PDF, Excel, Docs)
• Utilizing LLMs: GPT4, ChatGPT, Claude, GemniPro, Palm2, Llama2, Mistral, Mixtral, Owen, etc.
• Incorporating Langchain, Agents, Memory, VectorDB (Pinecone, Faiss)
Languages Supported:
• English
• Arabic
• Spanish
• French
• Others
Technologies Used:
• Hugging Face
• Langchain
• OpenAI
• VectorDB (Pinecone, Faiss)
• Agents
• PyTorch
• Github
• TensorFlow
• Keras
• Spacy
• NLTK
• Scikit-learn, etc.
Note: Please contact me before ordering!
Keywords: NLP, Natural Language Processing, HuggingFace, Finetune, BERT, Transformers, GPT, GPT3, RoBERTa, Generative AI, Gemni Pro, Palm 2, Mixtral, Claude, Mistral, Langchain, Agents
Transformers Training/Finetuning for:
• Q&A
• Stable Diffusion
• Zero-Shot Learning
• Image Generation from Prompts
• Text Generation from Prompts
• Paraphrase Detection
• Summarization
• Translation
• Speech Recognition
• Sentiment/Emotion Analysis
• Sentence Completion
• Named Entity Recognition (NER)
• Part-of-Speech (POS) Tagging
• Text Parsing
• Document Classification
Retrieval Augmented Generation (RAG):
• Custom chat app/chatbot for intelligent answers within context by uploading desired data (PDF, Excel, Docs)
• Utilizing LLMs: GPT4, ChatGPT, Claude, GemniPro, Palm2, Llama2, Mistral, Mixtral, Owen, etc.
• Incorporating Langchain, Agents, Memory, VectorDB (Pinecone, Faiss)
Languages Supported:
• English
• Arabic
• Spanish
• French
• Others
Technologies Used:
• Hugging Face
• Langchain
• OpenAI
• VectorDB (Pinecone, Faiss)
• Agents
• PyTorch
• Github
• TensorFlow
• Keras
• Spacy
• NLTK
• Scikit-learn, etc.
Note: Please contact me before ordering!
Keywords: NLP, Natural Language Processing, HuggingFace, Finetune, BERT, Transformers, GPT, GPT3, RoBERTa, Generative AI, Gemni Pro, Palm 2, Mixtral, Claude, Mistral, Langchain, Agents
Machine Learning Tools
Apache Spark MLlib, BERT, Google AutoML, Google Data Studio, GPT-3, Keras, Microsoft Excel, Microsoft Power BI, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, RapidMiner, scikit-learn, SciPy, SQL, Stanford CoreNLP, TensorFlow, Tesseract OCR, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$95
|
Standard
$145
|
Advanced
$195
|
|---|---|---|---|
| Delivery Time | 4 days | 5 days | 6 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20
Model Documentation
(+ 2 Days)
+$50
35 reviews
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MR
Moises R.
May 1, 2024
Farhan is one of the best developers I've hired so far. I'll definitely hire him again. A very hard working man, working until 2, 3 and sometimes 4 in the morning, clean communication, speed delivery, no BS, a very good programmer as well.
MR
Miguel R.
Apr 15, 2026
Contract Offer - Agentic AI Developer for boxbox
JF
John F.
May 13, 2025
30 minute consultation
AK
Alexander K.
May 8, 2025
AI Module Functions for Spiritual Growth Application with Esoteric System Analysis
Everything perfect and on time. Great skills and communication! Will hire again
AF
Aminadav F.
Apr 16, 2025
AI based computer vision solution
Farhan is super talented and well-versed in his field. Highly recommended!
AF
Aminadav F.
Apr 7, 2025
Ofa captioning
Farhan is gifted and resourceful; he worked his magic to make this project work as expected. I highly recommend Farhan!
About Farhan
AI Solutions Architect | AI-First SaaS | Multi-Agent | Full-Stack
100%
Job Success
Karachi, Pakistan - 2:48 pm local time
I architect and deploy production-grade AI systems end-to-end. Expert in agentic AI, Model Context Protocol (MCP), and agent-to-agent (A2A) orchestration. Recent work: HIPAA-compliant healthcare platforms (thousands of patients), multi-tenant trading SaaS (millions in volume), voice AI agents, legal document intelligence, energy trading systems.
Core Strengths:
- AI-First Approach: Select optimal solution per problem—classical ML for latency, fine-tuned models (Unsloth/LoRA/QLoRA: Qwen, Gemma, LLaMA) for privacy/control, managed APIs for scale. Decisions grounded in real tradeoffs, not hype.
- End-to-End Ownership: Full stack—AI/ML models, microservices, React/Next.js, cloud infrastructure (AWS/Azure/GCP), DevOps. Database design to production, no handoffs.
- Agentic AI & Multi-Agent Systems: Design sophisticated multi-agent workflows using LangGraph, CrewAI, OpenAI Agents SDK, or custom orchestration. Expert in agent coordination, state management, A2A protocols, seamless handoffs.
- MCP Mastery: Architect MCP-native systems for dynamic tool discovery and integration. Leverage universal standard (97M+ downloads) for rapid integration, reduced deployment friction (11 min vs. 3 days), production reliability.
- Tool Calling & Dynamic Reasoning: Implement context-aware tool invocation for APIs, databases, services. Real-time slot booking, insurance verification, trade execution via intelligent tool chains.
Production Systems Built:
- Healthcare Orchestration: 7+ agents (registration, triage, diagnostics, documentation, compliance) with MCP integration, EMR (Cerner/Oracle), HIPAA-compliant, thousands of interactions. Stack: Python, FastAPI, React, MS SQL, LangGraph, MCP, Azure.
- Voice AI Appointment System: Inbound/outbound calling agent, eligibility screening (40+ dynamic questions), real-time slot booking via tool calls, insurance verification, authorization checks. Stack: Pipecat AI, LiveKit, Twilio, Deepseek, LangGraph, FastAPI, RabbitMQ, React, MS SQL, Azure.
- Legal Intelligence Platform: AI contract analysis, clause extraction, risk flagging, compliance detection. Multi-modal (PDFs, images), RAG semantic search, domain fine-tuning, multi-agent workflow (ingest → classify → extract → analyze → summarize). Stack: Python, FastAPI, React, PostgreSQL, Pinecone, LangGraph, Claude, LoRA.
- Algorithmic Trading SaaS: LSTM/GRU/Prophet forecasting, real-time signals, agentic market analysis, sentiment processing, trade recommendations. Kubernetes auto-scaling, sub-second latency. Stack: Python, FastAPI, React, PostgreSQL, Redis, Kafka, LangGraph, Kubernetes, AWS.
- Energy Trading System: Position limits, surveillance, ICE/CME OTC integration. Agentic risk assessment, pattern recognition, compliance monitoring. Stack: .NET Core, React, PostgreSQL, Kafka, Redis, LangChain, Pinecone, Azure.
Technical Foundation:
Backend: Python/FastAPI, Node.js, .NET Core | Frontend: React, Next.js | Databases: PostgreSQL, MS SQL, MongoDB | Caching: Redis, Kafka | Vector: Pinecone, Milvus, Elasticsearch, ChromaDB | AI Frameworks: LangGraph, CrewAI, OpenAI SDK, MCP, A2A | LLM Fine-Tuning: Unsloth, LoRA, QLoRA, PEFT | LLMs: Claude, Gemini, Deepseek, OpenAI | Cloud: AWS, Azure, GCP + Terraform, Docker, Kubernetes | ML/AI Platforms: Azure AI Foundry, AWS Bedrock, Vertex AI, Hugging Face | Vision/NLP: YOLOv11/v12, BERT, spaCy | Integrations: Twilio, Slack, Airtable, Make, n8n, EMR, trading platforms.
Work Style:
Measure, iterate, optimize. Balance business requirements with technical constraints. Help clients understand tradeoffs. Fluent in technical depth and business translation. Trusted by founding teams, CTOs, architects for validation and time-to-market acceleration.
MS in Data Science + 7 years across healthcare, finance, trading, energy, SaaS. Solve problems holistically—scalability, compliance, performance, UX from day one.
Proven track record: Production-grade, revenue-generating AI systems. Top Rated Plus on Upwork.
Steps for completing your project
After purchasing the project, send requirements so Farhan can start the project.
Delivery time starts when Farhan receives requirements from you.
Farhan works on your project following the steps below.
Revisions may occur after the delivery date.
Train
Train the model (if required) as per the requirement
Evaluate
Evaluate the model results