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Prompt Engineer & Automation Expert in LLM based systems, workflow automation and intelligent agent development. I am driven to develop AI Agents and optimize large language models (LLMs) that drive innovative solutions. I possess a robust background in Python programming with a deep interest in GenAI systems, prompt engineering and RAG architectures. Skilled in n8n, Zapier, Copilot Studio and Langgraph, with a proven record of designing scalable AI workflows, optimizing prompts and delivering automation that reduces manual effort. Seeking impactful roles in Prompt Engineer, agentic systems and LLM based applications.

Certifications
  • •Foundations of Prompt Engineering – IBM
  • •AI Agents Using RAG and LangChain – IBM
  • •Generative AI for Data Scientists – IBM
  • •Generative AI with LLM's – DeepLearning.AI
  • •Introduction to Large Language model - Google
  • •Python – AlmaBetter , Narest IT Hydrabad
  • •Deep Learning & NLP – AlmaBetter
Skills
  • •Prompt Engineering: Zero/Few shot, RAG, CoT
  • •LLM & Agent Tools: N8N , Zapier, Github Copilut, LangGraph, Hugging Face , OpenAI, Ollama, Groq.
  • •Vector Databases: FAISS, ChromaDB, Pinecone, Qdrant.
  • •Cloud & MLOps: Docker, Git, Monitoring, Langfuse.
  • •Soft Skills: Problem solving , Attention to Detail, Independent Execution, Creative Thinking
professional Experience
AI - Prompt Engineer [ Scale AI ]
(jun 2023 - July 2025 ) California US, Remote
  • •As a Prompt Engineer Revised AI generated responses to ensure they are in Correct , clear and relevant to user queries.
  • •Evaluations of AI model & LLM responses and providing insights for continuous improvement with RLHF .
  • •Designed and optimized prompts for LLMs across customer support, summarization, search and creative tasks.
  • •Created zero shot, few shot and CoT templates to boost accuracy and consistency.
  • •Conducted A/B testing and integrated RLHF feedback loops to enhance AI safety and model alignment.
  • •Built prompt for n8n and Langgraph enabling reusable workflows.
  • •Tracked performance with Langsmith monitoring, balancing latency & cost.
  • •Developed domain specific datasets, reducing hallucinations and raising user satisfaction by 30%.
    • Data Science Trainee [ AlmaBetter ]
    ( march 2023 - jun 2023 ) Bengaluru, Remote
  • •Implemented data-driven solutions using data manipulation and visualization tools .
  • •Developed expertise in ML through hands-on projects, mastering Python and ML & DL frameworks .
  • •Hands on Open source LLM's models using Hugging face and Langchain .
    • Projects
    Terminal Based AI Voice Curser.
  • •Developed a voice controlled AI coding assistant that generates production ready applications in real time.
  • •Utilized LangGraph for workflow orchestration with state-machine architecture and event driven design.
  • •Integrated Groq LLM API, speech recognition and Coqui TTS for seamless voice interaction and code generation.
  • •Implemented intelligent error handling, modular architecture and interactive code review features for robust development.
    • AI Chat Agent – Facebook Messenger. (N8N)
  • •Developed a AI agent with dual personas: one offering professional support for Facebook Page users and another delivering casual, engaging or flirty interactions for DMs.
  • •Integrated workflow automation using n8n and Groq LLMs for fast context aware language responses.
  • •Implemented smart message routing, memory based user context and dynamic response formatting for real time engagement.
  • •Enhanced user experience by combining natural dialogue flow with strategic persona switching based on message type.
    • Trading Chatbot for Financial Firm
  • •Designed a trading assistant chatbot using ChatGroq (LLaMA 3.1-8B), LangChain and Ollama embeddings.
  • •Utilized Langchain for document loading, text splitting and conversational retrieval chain creation.
  • •We will build an LLM based question and answer system that can reduce the workload of their customer care staff.
  • •User should be able to use this system to ask questions directly and get answers within seconds .
    • Education
    Bachelor of science (Mathematics ) Master In Data Science

    Shivaji University , Kolhapur Vellore institude of Technology ( VIT )

    march 2020 - march 2023 2024 - Present ( Online )