You will get a RAG, LLM and Agentic AI Experts
Project details
Agentic AI, RAG and LLM-Powered Solutions, Built for Scale
What Sets Us Apart:
🚀 Focus on Outcomes – Whether you need a lean MVP to test your idea, a production-ready system, or advanced LLMOps for AI models, we deliver tailored solutions—not just code.
🔍 Iterative & Collaborative – We work in agile cycles with continuous feedback, ensuring alignment with your goals at every step.
🤖 LLMOps Expertise – Beyond deployment, we optimize AI pipelines (fine-tuning, evaluation, cost/performance balance) for long-term success.
📈 Scalable by Design – From cloud architecture to real-time monitoring, we build to grow with your user base.
What Sets Us Apart:
🚀 Focus on Outcomes – Whether you need a lean MVP to test your idea, a production-ready system, or advanced LLMOps for AI models, we deliver tailored solutions—not just code.
🔍 Iterative & Collaborative – We work in agile cycles with continuous feedback, ensuring alignment with your goals at every step.
🤖 LLMOps Expertise – Beyond deployment, we optimize AI pipelines (fine-tuning, evaluation, cost/performance balance) for long-term success.
📈 Scalable by Design – From cloud architecture to real-time monitoring, we build to grow with your user base.
AI Algorithms
AdaBoost, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Text-to-Speech, AI-Enhanced Classification, AIOps, Anomaly Detection, Conversational AI, Machine Translation, Natural Language Understanding, Object Detection, Sentiment Analysis, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Hugging Face, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, LLaMA, Midjourney AI, OpenAI Codex, Stable DiffusionWhat's included
| Service Tiers |
Starter
$10
|
Standard
$15
|
Advanced
$20
|
|---|---|---|---|
| Delivery Time | 15 days | 28 days | 45 days |
Number of Revisions | 2 | 3 | 4 |
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 | - |
About Devvrat
Generative AI, LLM, RAG, LLMOps, and AI Consultant
Panchkula, India - 9:55 pm local time
With over 12 years of experience in the software industry, including 6+ years in Data Science, I specialize in cutting-edge technologies such as Generative AI, Retrieval-Augmented Generation (RAG), Agents and LLMOps. My expertise spans across building AI-driven solutions using open-source LLMs like Llama 3.1, Llama 3.0, Mistral, Falcon, and Llava
Key Skills & Expertise:
- Generative AI and LLMs: Experience developing solutions with Llama, Falcon, Mistral, Deepseek, GPT and more.
- Vector Database: Pinecone, FAISS, Chroma and Elastic Search
- Vision Language Models (VLMs): Applied VLMs in vision-related use cases.
- Cloud & DevOps: Extensive work on AWS, MLflow, Lang Smith, and Lang Chain for LLMOps workflows.
- LLM Integration Tools: Proficient with LangChain, Lang Graph, Llama Index, Ollama, GPT, FastAPI and Groq.
- NLP & Machine Learning: Deep knowledge of NLP, Python, Machine Learning and statistical modeling.
- Database Expertise: Strong with NoSQL, structured/unstructured data processing, and database management.
- Data Analysis: Skilled in text mining, data analytics, data manipulation, and deep learning frameworks like NLTK.
- Regression & Classification Model: Experience with linear models, KNN, and logistic regression.
Technical Skills:
- Opensource LLMs: Llama, Falcon, Mistral, Llava, StarCoder
- RAG Tool: Lang Chain, Llama Index, Ollama, GPT, Pinecone, FAISS, Chroma and Elastic Search
- NLP Tools: NLTK, Spacy, Python (NumPy, Pandas, Scikit-learn)
- Data Visualization & Analysis: Statsmodels, SciPy, Data Plotting Tools, Panda, Matplotlib, Seaborn
-LLMOps Tools: DeepEvals, RAGAS, Lang Smith and MLflow etc
Steps for completing your project
After purchasing the project, send requirements so Devvrat can start the project.
Delivery time starts when Devvrat receives requirements from you.
Devvrat works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Planning
- Review project goals, scope, and client-provided materials. - Define deliverables, timelines, and success metrics. - Output: Approved project plan & requirements doc.
MVP Development (If Applicable)
- Build core features only (prioritized with client input). - Weekly check-ins for feedback. - Output: Functional MVP for testing/validation.