Building production-ready AI systems using Python, FastAPI, PyTorch and modern LLM frameworks.

• 🔬 AI / ML Engineer focused on Generative AI, Computer Vision and LLM systems
• 🤖 Building RAG chatbots, diffusion models and intelligent recommendation systems
• 🧠 Experienced with YOLOv8, Stable Diffusion, LangChain and vector search
• ⚙️ Developing scalable ML systems using FastAPI, Docker and cloud platforms
• 📊 Passionate about building real-world AI applications

AI / ML Engineer specializing in Generative AI, Computer Vision, and LLM-based intelligent systems.
I build production-ready AI applications including Retrieval-Augmented Generation (RAG) systems, diffusion-based image generation pipelines, recommendation engines, and multi-agent AI assistants.

My work focuses on designing scalable AI architectures using modern frameworks such as FastAPI, PyTorch, LangChain, and vector databases, enabling real-world AI solutions for automation, analytics, and creative applications.

I am also available for freelance AI development projects, helping businesses integrate AI capabilities into their products and workflows.

AI system that transforms interior images using YOLO detection and Stable Diffusion inpainting.

Tech: Python, YOLOv8, Stable Diffusion, Computer Vision

🔗 Click to check

Features:

• Detect furniture and room objects
• Modify wall colors and layouts
• Generate realistic interior designs

AI assistant capable of answering questions using documents, websites, and external knowledge sources through a Retrieval-Augmented Generation (RAG) pipeline.

The system retrieves relevant context using vector search and generates grounded responses using LLM reasoning.

Tech: Python • FastAPI • LangChain • FAISS • LLM APIs

🔗 Click to check

Features

• Multi-document and knowledge-based querying
• Semantic search using vector embeddings
• Retrieval-augmented response generation
• FastAPI backend for real-time interaction
• Modular pipeline for retrieval, reasoning, and response processing

Generative AI system for prompt-driven image synthesis using diffusion models.

The project implements a diffusion-based pipeline capable of generating high-quality images from natural language prompts while supporting image-to-image transformations.

Tech: Python • PyTorch • Diffusion Models • Generative AI

🔗 Click to check

Features

• Text-to-image generation using diffusion models
• Image-to-image transformation pipeline
• Iterative denoising and sampling optimization
• Improved image fidelity and prompt alignment
• Modular architecture for generative AI experimentation

Machine learning recommendation engine designed to suggest anime based on user preferences and content similarity.

The system analyzes anime features and computes similarity scores to generate personalized recommendations.

Tech: Python • Machine Learning • Scikit-learn • Recommendation Systems

🔗 Click to check

Features

• Content-based filtering using feature similarity
• Vectorized representation of anime attributes
• Similarity scoring for recommendation ranking
• Efficient recommendation generation pipeline
• Scalable architecture for expanding recommendation datasets

I provide freelance AI development services including:

• Retrieval-Augmented Generation (RAG) systems
• LLM-powered chatbots and AI assistants
• Computer vision applications
• Generative AI pipelines (Diffusion / Image generation)
• Recommendation systems
• Custom machine learning model development
• AI API development with FastAPI

If you're interested in working together, feel free to reach out through Upwork or LinkedIn.

Building an AI assistant based on a multi-agent architecture where specialized agents collaborate to solve complex tasks.

Agents include:

• RAG Agent (knowledge retrieval)
• Code Agent (programming assistance)
• Data Analysis Agent
• Email & Calendar Agents
• Web Search Agent
• Writing Agent

Tech Stack
Python • FastAPI • LangChain • Vector Databases • LLMs

Developing an AI-powered video restoration pipeline capable of enhancing old or low-quality videos.

Key capabilities:

• Super Resolution (Real-ESRGAN)
• Frame Interpolation (RIFE)
• Face Enhancement (GFPGAN)
• Video Colorization (DeOldify)
• Automated restoration pipeline

Tech Stack
Python • Computer Vision • Deep Learning • Video Processing

LinkedIn
www.linkedin.com/in/prashantsingh-ai

Portfolio
https://mlforgex.in

Upwork
https://www.upwork.com/freelancers/~01e188e8b94ae7b04f

GitHub
https://github.com/prashantsingh5

Kaggle
https://www.kaggle.com/prashantsingh001

Email
prashantsingha96@gmail.com

⭐ If you like my work, consider starring the repositories!