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Equipped with a solid foundation in Machine learning , Deep Learning , Natural language processing and Computer Vision . 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. Eager to leverage my expertise in AI and LLMs for creating intelligent and responsive systems in a dynamic professional environment, I am committed to advancing the capabilities of LLMs and extracting meaningful insights from complex data. Actively seeking opportunities to contribute to impactful AI projects, my objective is to propel organizational growth through skillful and strategic utilization of cutting-edge technologies while also being dedicated to fostering collaboration within cross-functional teams.

Education
Bachelor of science (Mathematics ) Master In Data Science

Shivaji University , Kolhapur Vellore institude of Technology ( VIT )

march 2020 - march 2023 2024 - Present ( Online )

professional Experience
AI - Prompt Engineer [ Scale AI ]
(Sep 2024 - Present ) California US, Remote
  • •As a AI Engineer Revised AI generated responses to ensure they are in Correct , clear and relevant to user queries.
  • •Created and refined prompts specifically for AI models as Python coder to enhance clarity, accuracy and Review .
  • •Evaluations of AI model & LLM responses and providing insights for continuous improvement with RLHF .
    • 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
    AI Voice Agent | Financial Assistant
  • •Developed AI voice Agent enabling real time financial queries via voice and Text, integrate OpenAI Whisper (SST) and pyttsx3 (TTS).
  • •Designed and deployed RAG pipelines using LangChain with LLama 3 and Redis MCP for vector based retrieval financial insights.
  • •Built scalable microservices with FastAPI for and third party financial API integration (Alpha Vantage, Yahoo Finance).
  • •Created an interactive Streamlit dashboard and Flask API, containerized with Docker for deployment and local/cloud scalability.
    • Web Reserch AI Agent
  • •Developed Web Research AI Agent in python using Groq (LLaMA 3.1-8B) to generate research reports from user queries.
  • •Integrated real-time Google Search scraping, BeautifulSoup for content extraction and custom keyword based relevance scoring.
  • •Leveraged NewsAPI to pull and summarize the latest news articles related to user topics.
  • •Built an interactive Streamlit UI for user input and automatic research report presentation.
    • Equity News Research Tool .

  • •Developed a web app integrating ChatGroq's (gemma2-9b-it) model for analyzing and answering queries from news articles.
  • •Implemented URL-based document processing, HuggingFace's embeddings and FAISS vector store for efficient retrieval.
  • •Built a Conversational Retrieval Chain for interactive Q&A, ensuring seamless user experience with progress indicators.
  • •Utilized persistent storage for vector data management, improving application responsiveness and reliability.
    • Q & A System Based Chatbot for Trading company .
  • •Developed an interactive Trading Chatbot using ChatGroq (Llama-3.1-8B), OllamaEmbeddings and FAISS for vector storage.
  • •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 .
    • Certifications

    • •AI Agents usinng RAG and Langchain (IBM)
    • •Prompt Engineering Basics . (IBM )
    • •Gen AI for Data Scientist . (IBM)
    • •Gen Ai With LLM's . (DeepLearning.AI )
    • •Python , SQL , PowerBi , Tableau. (Almabetter)
    • •Machine learning , Deep Learning . (Almabetter)
    Skills
    • •Programming Languages: Python .
    • •Frameworks: TensorFlow, Scikit-learn .
    • •Tools: N8N, AutoGPT , Crewai , Langgraph
    • •Open Source Platforms - Hugging face , Langchain .
    • •Soft Skills: Problem-solving, Team collaboration , Adaptability, communication skills , Multitasking , Attention to Details .