Summary

• Experienced AI/ML Developer with over 5 years of expertise in machine learning, natural language processing (NLP), automation, and data analysis.
• Passionate about delivering AI-driven solutions, I possess extensive knowledge in building, training, and deploying scalable AI models, particularly in areas like data integration, automation, and chatbot development.
• Proficient in leveraging the latest technologies like MS Copilot, LangChain, and GPT models, I specialize in creating cutting-edge applications to solve complex problems and drive innovation in AI tools and systems.

Technical Skills

Programming Languages: Python, JavaScript, Basic GoLang
Machine Learning & Deep Learning: TensorFlow, PyTorch, SciPy
Model Deployment: TorchServe, TensorFlow Serving
Image Processing: OpenCV, PIL
Natural Language Processing (NLP): NLTK, SciPy, TextBlob, VaderSentiment
Web Automation & Scraping: Selenium, BeautifulSoup
Data Visualization: Plotly, Matplotlib, Seaborn
Web Technologies & Frameworks: Django, Flask, FastAPI
Databases: MySQL, PostgreSQL (SQLAlchemy), CosmosDB (MongoDB)
Mobile Technologies: Basic Android Development
Network Traffic Monitoring: Nmap
Blockchain Technologies: Hyperledger Fabric (GoLang)
Deployment: GitHub, BitBucket, Heroku, Docker, Azure (App Service)
Others: LangChain (ChatGPT), MS Copilot, TwitchIO, Raspberry Pi, Streamlit, Postman

Projects worked on

AI-Powered Ticket Answer Generator

Tools and Technologies: Python, GPT models, MS Copilot, LangChain
Project Description: Developed an advanced AI system designed to assist support agents by analyzing incoming support tickets and generating AI-powered internal notes. The system uses GPT models to interpret customer inquiries, retrieve relevant documentation, and past ticket data, and provide accurate AI-generated responses for quicker resolution.
Roles and Responsibilities:

• Integrated GPT models into existing ticketing platforms to deliver real-time AI-driven suggestions.
• Automated ticket responses using MS Copilot, reducing agent workload and improving efficiency.
• Fine-tuned NLP models to analyze user queries and pull relevant data from the knowledge base, improving response accuracy.

 

Internal Data Integration for AI Chatbot

Tools and Technologies: Python, MS Copilot, Azure, LangChain, CRM, SharePoint, MySQL
Project Description: Developed an AI-powered chatbot integrated with various internal data systems like CRM, ticketing, and knowledge bases. This chatbot delivers accurate, real-time responses to customer queries by synthesizing data across multiple platforms.
Roles and Responsibilities:

• Integrated AI chatbot with systems like SharePoint, CRM, and ticketing tools to fetch and display relevant data seamlessly.
• Developed MS Copilot connectors for accessing and combining data from various internal sources.
• Implemented an NLP-based chatbot that retrieves, processes, and delivers data from multiple internal systems, serving both customer and internal user queries.

 

Automated Offer Generation System

Tools and Technologies: Python, GPT models, Excel, MS Copilot, Pandas
Project Description: Developed a system to streamline the offer generation process by automatically filling out pricing tables and formatting proposals based on customer profiles and predefined templates. This system improved the accuracy and efficiency of creating offers by using AI-driven solutions.
Roles and Responsibilities:

• Designed an AI system that generates and formats offer documents, analyzing customer profiles and retrieving relevant data.
• Integrated MS Copilot to automate the creation of offers, ensuring that pricing and formatting follow established guidelines.
• Utilized Python and Pandas for data extraction and processing, enabling dynamic offer generation based on customer requirements.

 

Chatbot for Technical Documentation

Tools and Technologies: Python, GPT-4, LangChain, FastAPI, Azure, NLTK
Project Description: Developed a chatbot to assist users in retrieving solutions from the company's technical documentation using natural language queries. The chatbot simplifies access to complex technical content by allowing users to search using conversational language.
Roles and Responsibilities:

• Loaded technical documentation into a GPT-powered chatbot to handle user queries more effectively.
• Used LangChain to link multiple data sources, improving the accuracy and context of search results.
• Built an intuitive interface to make it easy for non-technical users to query and retrieve detailed documentation.

 

Twitch Moderation Chatbot

Tools and Technologies: Python, TwitchAPI, TwitchIO, LangChain, ChatGPT, VoiceVox
Project Description: Developed an interactive and intelligent chatbot to assist Twitch streamers by moderating their chat. The bot performs various moderation tasks, responds to common viewer queries, and maintains a positive atmosphere in the chat.
Roles and Responsibilities:

• Created a chatbot capable of real-time moderation and engaging with viewers on Twitch.
• Used TwitchIO to manage chat interactions and retrieve necessary data from Twitch’s API.
• Integrated LangChain to use ChatGPT for generating interactive and dynamic responses.
• Implemented VoiceVox to generate audio responses for the chatbot, enhancing the user experience.
• Optimized the system to ensure it operates in real-time, providing seamless interaction with Twitch.