Profile

AI Prompt Engineer with 2+ years of experience building AI agents workflow automations and intelligent business solutions. Currently working with startups and clients to design and deploy AI powered systems using LangGraph, LangChain, FastAPI, Python, Make and n8n. Experience in developing AI voice agents, chatbot solutions, CRM integrations, API based automations and end to end business workflows. Previously worked as a Prompt Engineer with Scale AI, contributing to LLM evaluation and optimization projects. Strong understanding of generative AI, prompt engineering, automation architecture and translating business requirements into practical AI solutions that improve operational efficiency and customer engagement.

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
  • •Programming Languages: Python , SQL
  • •Prompt Engineering: Zero/Few shot, CoT etc..
  • •LLM & Agent Tools: N8N , Langgraph, Hugging Face, OpenAI, Ollama, Claude, Hubspot, Zoho, RAG, MCP , Deepeval
  • •Cloud & MLOps: Azure, Docker, Git, Langfuse. Langsmith
  • •Soft Skills: Problem solving , Attention to Detail, Independent Execution, Creative Thinking.
professional Experience
AI - Prompt Engineer [ Scale AI ]
(Jun 2024 - Present ) California US, Remote
  • •Designed and optimized LLM prompts for domain specific conversational systems, including finance and healthcare style scenarios
  • •As a Prompt Engineer Revised AI generated responses to ensure they are Correct, clear and relevant to user queries.
  • •Created zero shot, few shot and CoT templates to boost accuracy and consistency.
  • •Conducted Python code reviews, debugging errors to improve model reliability.
  • •Experience in dataset creation, annotation guideline design and structured data construction for LLM training and evaluation.
  • •Performed QA on datasets and responses, refining LLM outputs for clarity, correctness and alignment.
  • •Evaluated AI generated responses across coding, reasoning, and instruction following tasks using strict quality rubrics.
  • •Evaluations of AI model & LLM responses and providing insights for continuous improvement with RLHF and A/B testing to enhance LLM (Large Language Model) performance, reduce hallucinations and improve safety.
  • •Identified potential AI safety concerns including prompt injection risks, privacy issues and unauthorized tool usage.
    • Data Science Trainee [ AlmaBetter ]
  • •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 Codexa 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 Voice Sales Bot (Credit Cart sale)
  • •Automated 100% of outbound sales calls for credit card recommendations using an AI voice agent using Vapi.
  • •Built an automated AI voice agent that calls pre approved customers from spreadsheets, asks profiling questions, detects intent and recommends the most suitable credit card (Cashback or Premium) using LLMs.
  • •Orchestrated end to end workflows with n8n for outbound calls, personalized pitches, acceptance handling and CRM/spreadsheet logging.
    • AI Voice Agent for Fintech ( TVS Instacard )
  • •Built a production grade AI voice agent using Bolna AI to automate outbound calls for InstaCard lead qualification and activation
  • •Designed human like Hinglish conversational flows with LLMs (GPT-4o mini) to improve engagement and reduce drop offs
  • •Engineered end to end automation using n8n, including WhatsApp link delivery, follow ups and CRM logging.
  • •Developed edge case handling (interruptions, silence, objections, fraud , wrong number) for robust production performance.
  • •Built a scalable system capable of handling high volume outbound campaigns with minimal human intervention
    • Education
    Bachelor of science (Mathematics ) Master In Data Science

    Shivaji University , Kolhapur Vellore institude of Technology ( VIT )

    march 2020 - march 2023 2024 - Present ( Online )