As an experienced AI Bot Developer, I specialize in building intelligent, scalable chatbot solutions that bridge human-AI interaction. My technical strengths include hands-on work with OpenAI APIs (GPT models, embeddings, and more), robust front-end development, and integrating AI features with secure, high-performance MySQL backends.

I thrive in remote, cross-functional teams—translating complex requirements into user-friendly solutions, optimizing performance, and ensuring the highest standards in security and scalability. My passion for conversational AI and NLP, combined with deep expertise in RESTful APIs and cloud platforms, enables me to deliver impactful digital experiences that transform customer engagement.

Core Skills:

• AI Bot Development & Chatbot Frameworks

• OpenAI API Integration

• Front-End Technologies (React, Vue, JavaScript, HTML/CSS)

• MySQL & Database Optimization

• RESTful API Design & Security

• NLP, AI/ML Concepts

• Cloud Platforms (AWS, Azure, GCP)

• Remote Collaboration & Agile Delivery

SUMMARY:

• Dedicated software Engineer with expertise in AI/ML models, specializing in Agentic AI and Retrieval-Augmented Generation (RAG) approaches.

• Proven track record in building and deploying AI-powered chatbots, managing conversational data, and utilizing vector databases to enhance conversational AI systems.

• Proficient in implementing and managing integration solutions.

• Strong knowledge of NLP and ML libraries.

• Worked closely with senior developers to identify and resolve bugs, leading to a significant decrease in post-release issues.

• Engaged with clients to gather requirements and proposed tailored solutions, ensuring an optimal user experience.

Technical Skills

Area | Experience

• AI/ML Models: RAG models, Large Language Models (LLMs) (GPT-4, LLaMA, Amazon Bedrock)

• Programming Languages: Python

• Frameworks/Libraries: Hugging Face Transformers, LangChain, Langflow, Llama Index

• Databases: AstraDB, FAISS, Pinecone, MongoDB

• Cloud Platforms: AWS, Azure

KEY PROJECTS:

DebateBase: (Create Army of AI Agents)
URL: Debatebase
Technologies used: Python, GenAI, Langchain, Langsmith
Definition: The debate application is integrated with an AI agent to create an effective debate.

Modules (AI Agents):

1. Category Validator

2. Motion Validator

3. Citation Validator

4. Citation Suggestion

5. Debate Summarization

6. Topic Suggestion

7. Token Bank

Type: Debate application

Roles & Responsibilities:

• Create new API from scratch

• Create the flow of the Hot debate

• Create a Bank to measure the use of token per user and per agent

• Testing the API with tools like API dog

AWS Agent
Technologies used: Python, Djongo, AWS, Langchain
Definition: AWS develops chatbot

Deion:

1. Upload, download, and replace the files and folder in the AWS s3 bucket with Natural Language Command.

2. Create, delete, list all, and Modify the S3 bucket using a chatbot.

3. Cost analysis in Natural Language Command.

Roles & Responsibilities:

1. File Operations: Implement NLP to allow users to upload, download, or replace files and folders in S3 via natural language commands.

2. Bucket Management: Enable users to create, delete, list, and modify S3 buckets through a chatbot interface.

3. Cost Analysis: Develop a module to fetch and present S3 cost metrics and usage statistics based on user requests in natural language.

Math Chatbot
Technologies used: RAG, Python, Djongo, AWS, Langchain
Definition: Math ChatBot

Deion:

1. User Identification Module

2. Hint Generation Module

3. Instructional Response Module

4. RAG Integration Module

5. Image Processing Module

Roles & Responsibilities:

1. User Identification: Detects if the user is a student or a parent to tailor responses.

2. Hint Generation: Provides step-by-step hints for students to encourage independent problem-solving.

3. Instructional Solutions: Offers structured solutions for parents to effectively teach concepts to their children.

4. Contextual Answering: Utilizes RAG to deliver answers based on specific math books or reference materials.

5. Visual Problem Solving: Analyzes and interprets image-based questions or diagrams for relevant answers.

Host Open source model in local server
Technologies used: Python, FastAPI, Sql Database

Deion:

1. Model Loader

2. Environment Manager

3. API Gateway

4. Data Preprocessor

5. Response Formatter

Roles & Responsibilities:

1. Download and integrate the open-source model from repositories, ensuring compatibility.

2. Set up and maintain the development environment with necessary software and dependencies.

3. Develop and secure RESTful API endpoints for efficient model interaction.

4. Prepare and validate input data to ensure quality before feeding it to the model.

5. Format the model’s outputs for clarity and usability based on user needs.