You will get AI Agent that can talk to APIs, MCP servers
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Project details
I have successfully developed intelligent AI agents that autonomously manage complex, multi-step workflows and deliver actionable insights across various domains. My experience spans from designing agents capable of dynamic decision-making to integrating them with external APIs, databases, and enterprise systems, ensuring seamless, real-time operations.
I have worked with leading AI models such as OpenAI’s GPT series, Anthropic’s Claude, Gemini, and other advanced architectures, allowing me to create agents that are not only contextually aware but also adaptive and scalable. My approach involves rigorous testing for safety and reliability while leveraging modular design principles to enable rapid prototyping and iteration.
I have worked with leading AI models such as OpenAI’s GPT series, Anthropic’s Claude, Gemini, and other advanced architectures, allowing me to create agents that are not only contextually aware but also adaptive and scalable. My approach involves rigorous testing for safety and reliability while leveraging modular design principles to enable rapid prototyping and iteration.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Models
AlphaCode, BERT, ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMA, OpenAI CodexWhat's included $3,000
These options are included with the project scope.
$3,000
- Delivery Time 15 days
- AI Model Integration
- Database Integration
- Detailed Code Comments
- Model Documentation
- Model Testing & Optimization
- Natural Language Processing
- Prompt Engineering
- Source Code
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Ta
Tristan a.
Mar 13, 2026
Openfoam simulation
MK
Max K.
Jan 26, 2025
Set up prompt evaluation system using promptfoo.
Aniket went above and beyond what was required for the prompt evaluation job we have asked him to complete.
About Aniket
GenAI expert, Expert in AI Agents, Voicebots and Conversational AI
100%
Job Success
Pune, India - 4:51 pm local time
I come with an overall 10 years experience in the industry trying to solve business problems using AI and Machine Learning.
I’ve delivered 15+ GenAI projects across domains like RAG, agentic workflows, voicebots, information extraction and video analytics. All of them in production settings.
What can I offer:
🔍 Figuring out where AI fits in your business
A lot of teams want to use AI but don’t know where to start. I come in, take a look at what your business does, and help you identify the best places to use AI. Then we map out a plan and train your team so they feel comfortable using it.
⚡ Developing your AI ideas—from prototype to launch
Whether you want a quick proof of concept or a full production system, I’ll help you build it. This includes designing, coding, testing, and getting real user feedback. Instead of waiting months to see if something works, we move fast to show results and then refine from there.
🛠 Building custom AI solutions
I can help you create custom AI models—finetuning a language model with your domain-specific data, hosting a model on your own server, training a text-to-speech model with your own voice, or building image-based systems with diffusion workflows. If you want total privacy, need a model for specialized data, or anything in between, I’ll handle the details so you can focus on the results.
Technologies I work with:
- Standards: MCP
- LLMs: GPT (4o, 4o-mini, o1, o1-mini), Claude, Gemini, Llama (local), Qwen
- Embeddings & Vector Search: OpenAI, Cohere, Titan, FAISS
- Vector Databases: OpenSearch, Chroma
- OCR: Tesseract, Docling
- Voicebots: Vapi, Azure Speech, Vocode, ElevenLabs, Orpheus, Kokoro
- Frameworks: LangChain, LlamaIndex, Hugging Face
- Agent Orchestration: LangGraph, CrewAI
- Evaluation & Observability: promptfoo, Langfuse, OpenAI (Eval), MLflow
- Automation Tools: n8n, dify
- Databases: MongoDB, Postgres
- Dev Tools: Cursor
- Inference Frameworks: vLLM, Ollama
- Local LLMs: Llama framework
- Cloud Platforms: Azure, AWS, GCP
Steps for completing your project
After purchasing the project, send requirements so Aniket can start the project.
Delivery time starts when Aniket receives requirements from you.
Aniket works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements gathering
Gather requirements and itemise them into a project management board.
AI agent development
Building and tuning of the AI agent, prompts and required connector components