09/17/2026 updated
100 % available
AI/ML Engineer | Generative AI & LLM Applications | Python & Machine Learning
BENGALURU, India
Only remote
B.E. in Artificial Intelligence & Machine LearningAbout me
AI/ML Engineer and AI Web Developer focused on building practical GenAI, LLM, automation, and full-stack solutions. I work with Python, FastAPI, Next.js, LangChain, Supabase, and modern AI tools to turn ideas into reliable, user-friendly products.
HTMLArtificial IntelligenceMachine LearningNext.jsResponsive Web DesignReact.jsLarge Language ModelsPrompt EngineeringDeep LearningGenerative AIPega UI/UX DesignNatural Language Generation
Generative AI & LLM Development
Expertise in building LLM-powered applications using LangChain, LangGraph, Groq API, and prompt engineering. Development of full-stack AI assistants with semantic search, knowledge graphs, and multi-step reasoning capabilities.
Machine Learning & Deep Learning
Proficiency in TensorFlow, Scikit-learn, CNN, and NLP for building predictive models and classification systems. Application of ML regression models and deep learning techniques for real-world forecasting and diagnostic tools.
Workflow Automation & AI Agent Design
Hands-on experience with n8n, AI Agent Design, and GenAI tooling to automate end-to-end business workflows. Integration of multiple APIs and systematic testing to improve model reliability and operational efficiency.
Python & SQL Programming
Strong programming foundation in Python and SQL for data processing, pipeline development, and backend logic.
Frameworks & Tools
Practical experience with FastAPI, Streamlit, Gradio, Pandas, NumPy, Matplotlib, Seaborn, Plotly, and Git for building and visualizing AI-driven applications.
Databases & Cloud
Working knowledge of MySQL, PostgreSQL, Neo4j, AWS (S3), Docker, and Redis for scalable data storage and cloud deployment.
Data Analytics & Visualization
Experience with Tableau, Microsoft Power BI, and Microsoft Office for business intelligence and data-driven decision making.
Prompt Engineering & LLM Fine-tuning
Application of prompt engineering techniques and LLM fine-tuning to optimize model outputs and improve reliability in production environments.
Expertise in building LLM-powered applications using LangChain, LangGraph, Groq API, and prompt engineering. Development of full-stack AI assistants with semantic search, knowledge graphs, and multi-step reasoning capabilities.
Machine Learning & Deep Learning
Proficiency in TensorFlow, Scikit-learn, CNN, and NLP for building predictive models and classification systems. Application of ML regression models and deep learning techniques for real-world forecasting and diagnostic tools.
Workflow Automation & AI Agent Design
Hands-on experience with n8n, AI Agent Design, and GenAI tooling to automate end-to-end business workflows. Integration of multiple APIs and systematic testing to improve model reliability and operational efficiency.
Python & SQL Programming
Strong programming foundation in Python and SQL for data processing, pipeline development, and backend logic.
Frameworks & Tools
Practical experience with FastAPI, Streamlit, Gradio, Pandas, NumPy, Matplotlib, Seaborn, Plotly, and Git for building and visualizing AI-driven applications.
Databases & Cloud
Working knowledge of MySQL, PostgreSQL, Neo4j, AWS (S3), Docker, and Redis for scalable data storage and cloud deployment.
Data Analytics & Visualization
Experience with Tableau, Microsoft Power BI, and Microsoft Office for business intelligence and data-driven decision making.
Prompt Engineering & LLM Fine-tuning
Application of prompt engineering techniques and LLM fine-tuning to optimize model outputs and improve reliability in production environments.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishNative speaker
Project history
Designed and developed AI-powered web applications using React, Next.js, TypeScript, JavaScript, Node.js, FastAPI, and REST APIs. Built responsive, mobile-friendly user interfaces and implemented reusable components, forms, validations, authentication, and protected routes. Integrated LLMs, AI agents, chat interfaces, semantic search, and automation workflows using LangChain, LangGraph, Groq API, and n8n. Connected frontend applications with backend services, third-party APIs, and databases such as Supabase, Firebase, PostgreSQL, Qdrant, and Neo4j. Worked on API development, data handling, debugging, performance optimization, and production testing. Managed Git/GitHub version control, environment configuration, Docker setup, and Vercel deployment. Collaborated on requirements, UI/UX improvements, feature implementation, bug fixing, and end-to-end delivery of production-ready AI web solutions.
Developed a full-stack LLM application combining semantic search (Qdrant), knowledge graphs (Neo4j), and LangGraph agents over a FastAPI + Streamlit interface, enabling intelligent document retrieval and multi-step reasoning. Tech: Python, FastAPI, Streamlit, LangChain, LangGraph, Qdrant, Neo4j, Google Generative AI, sentence-transformers, Plotly.
Built an AI-powered demand forecasting solution processing 5,000+ records to predict sales trends and optimize inventory planning; automated the complete workflow using n8n and integrated 4+ APIs. Tech: Python, n8n, Groq API, Google Sheets, WeatherAPI, Telegram API.