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$
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I will develop custom ai agents, rag pipelines and machine learning models
Divyanshu Dubey
About this gig
Looking for a production-grade AI or Machine Learning solution? As an IIT Madras Data Science scholar and experienced full-stack engineer with over 50 successful freelance deployments, I build high-performance AI systems tailored to your exact business needs.
What I Offer:
- Custom AI Agents: Autonomous workflows and intelligent agentic execution layers.
- Advanced RAG Pipelines: Semantic search engines using FAISS or Chroma over your custom data.
- Machine Learning & Deep Learning: Predictive modeling using GBRNN, LSTM, XGBoost, and Random Forest.
- Smart LLM Integrations: Custom chatbot development utilizing OpenAI, Claude, or open-source models.
- Full-Stack Deployment: Transforming models into live apps using Streamlit, Flask, or Django.
Why Choose Me?
- Elite Engineering: Rigorous validation strategies (5/10-fold CV) ensuring model stability.
- End-to-End Ownership: I handle everything from backend algorithms to frontend UI.
Please message me to discuss your project requirements before placing an order!
Get to know Divyanshu Dubey
Divyanshu Dubey
Elite AI ML Specialist and Full Stack Engineer , IIT Madras Scholar
- FromIndia
- Member sinceDec 2023
- Avg. response time1 hour
Languages
Hindi, English, Gujarati
🚀 Elite Full-Stack Engineer & AI Specialist 🎓 Data Science at IIT Madras. With a track record of 50+ production-grade deployments, I handle everything from micro-fixes to massive digital ecosystems. I specialize in cutting-edge AI/ML (Agentic workflows, RAG, custom models) and high-performance Web/Mobile development. From optimizing small scripts to architecting full-scale startup platforms that secure long-term contracts, I deliver world-class, revenue-driving solutions. Big or small—your project gets elite engineering execution. Let's scale! 🌟
My Portfolio
FAQ
Q1: What core technologies do you use for development?
A: I build primarily in Python using Scikit-learn, TensorFlow, Keras, LangChain, and XGBoost. For vector storage, I leverage FAISS and Chroma, and I deploy applications using Streamlit, Flask, or Django frameworks.
Q2: Can you integrate an AI model into my existing software?
A: Yes, absolutely. I can integrate third-party LLM APIs or custom-trained open-source machine learning models directly into your current web app, mobile app, or backend architecture.
Q3: Do I get the complete source code?
A: Yes, every package includes the fully commented, clean source code, along with basic setup documentation so your team can easily run and manage the infrastructure.
