Prashant T.

I am a Lead AI/ML Engineer, Data Scientist & Full-Stack Developer with strong experience building AI-powered SaaS products, intelligent automation systems, and scalable web applications. Delivered 18+ AI products, combining AI engineering, data science, backend development, and full-stack product development. I help startups and businesses turn ideas into production-ready solutions using Generative AI, LLMs, Agentic AI, AI Agents, RAG (Retrieval-Augmented Generation), Multi-Agent Systems, and Machine Learning. Core Expertise: 🔹 AI & Generative AI: LLM Integration, OpenAI API, Claude API, Prompt Engineering, AI Chatbots, AI Agents, Agentic Workflows, LangChain, LangGraph, AutoGen, RAG Pipelines, Vector Databases, Embeddings, Semantic Search, Hybrid Search, Reranking, AI Automation, Structured Outputs, AI Evaluation, and Hallucination Reduction. 🔹 Machine Learning & Data Science: Predictive Analytics, Statistical Modeling, Forecasting, Classification, Regression, Customer Segmentation, Recommendation Systems, Fraud Detection, Computer Vision, NLP, Deep Learning, PyTorch, TensorFlow, Scikit-learn, XGBoost, Pandas, NumPy, and OpenCV. 🔹 Data Engineering & Analytics: Python, SQL, ETL Pipelines, Data Processing, Apache Spark, Kafka, Data Analysis, Feature Engineering, Power BI, Tableau, and Business Intelligence. 🔹 Full-Stack & SaaS Development: Python, FastAPI, Django, Flask, Node.js, Next.js, React.js, TypeScript, JavaScript, REST APIs, PostgreSQL, MongoDB, Redis, Supabase, Prisma, and Microservices. 🔹 Cloud & Production AI: AWS, Azure, GCP, Docker, CI/CD, Model Deployment, Scalable APIs, Background Processing, Monitoring, Security, Performance Optimization, and Cost-Efficient AI Architecture. What I can build: AI SaaS platforms, agentic AI systems, enterprise AI assistants, RAG applications, document intelligence tools, AI workflow automation, predictive analytics solutions, intelligent dashboards, recommendation engines, and complete web applications with integrated AI capabilities. I work across the complete product lifecycle—from requirements and solution architecture to development, AI integration, testing, cloud deployment, and ongoing optimization. If you need an AI Engineer, Generative AI Developer, LLM Engineer, Machine Learning Engineer, Data Scientist, AI Automation Developer, or Full-Stack AI Developer, I can help turn your requirements into a reliable, scalable product.