ADITYA SHARMA

[email protected] • +91895-326-9773 • Los Angeles,California(remote)
LinkedIn: https://www.linkedin.com/in/aditya-sharma-2380a92a6/

PROFESSIONAL SUMMARY

I am an AI RAG developer experienced in Python, ML models, APIs, LLMs, OpenAI, Llama3, RAG, OpenCV, Langchain, and various open-source LLMs. My expertise lies in AI Chatbot development, automation, and NLP. Recently, I've worked extensively on medical document processing ,EHR,QA processing, and OCR technologies.

WORK EXPERIENCE

AI Developer
01/2022 - Present
IntelliCraftAI·FreelanceAI
• I work with LLM, Doc processing, Image / Video AI processing, Support AI automation etc
• Work with Langchain, LLamaIndex, RAG Developed and deployed AI-based applications, including chatbots and virtual assistants, utilizing Python, TensorFlow, and natural language processing (NLP) techniques
Artificial Intelligence Engineer
01/2024 - 04/2024
Prontobots-Remote
• This project aims to gather detailed land parcel information using the Regrid API
• The user interface will provide two search options: a prompt-based search that utilizes creative AI to understand user intent and translate it into a search query (alternative AI solutions like LLAMA or LANGCHAIN might be preferable based on past experience)
Freelance AI Chatbot Developer
01/2023 - 04/2024
Stereogum
• Created a chatbot by scraping data of a website and given content
• Initially, we scrape the data from the website than store it in a vector database then use langchain to fetch this stored data
• Users can ask questions related to the website

EDUCATION

Master Of Technology
01/2013 - 01/2015
Indian Institute of Technology, Indore
Bachelor Of Technology
01/2009 - 01/2013
Indian Institute of Technology, Indore

SKILLS

Technical Skills: Python, Large Language Models, Retrieval-Augmented Generation, Llama 3, Natural Language Processing, Generative AI, Medical AI, Medical Document Processing
Soft Skills: Problem Solving, Analytical Thinking
Tools: OpenAI API
Other: Biotechnology, Electronic Health Records, Electronic Medical Records

PROJECTS

Hollyvernell Medical Diagnostic Application 🔗
Technologies: Python, Streamlit, PDF Processing, Text Analysis, NLP (Basic)
• Developed a medical diagnostic application for conducting general health and diagnostic tests
• Built and deployed the application using Streamlit, enabling clients to review and validate functionality in real time
• Shared working demos through recorded walkthrough videos for clear client understanding and feedback
• Common Word Analysis:
• Developed a feature to analyze and identify the most frequently occurring words in PDF documents
• Article Retriever:
• Implemented a module to retrieve relevant articles from document content to improve research efficiency
• Term Extractor:
• Built a tool to automatically extract key terms and important phrases from PDFs for better content analysis
AWS Bedrock – LLaMA2 Integration
Technologies: Python, FastAPI, AWS Bedrock, LLaMA2, React.js, AWS Cognito
• Built a FastAPI backend (Python) to interact with the LLaMA2 model using temporary tokens
• Integrated backend APIs with a React frontend to fetch AI responses
• Implemented real-time streaming responses for improved user experience
• Applied prompt engineering to enhance response quality
• Added secure authentication using AWS Cognito APIs and deployed the app behind a private login
• Created and managed pull requests for the React application
Medical Chatbot Integration 🔗
Technologies: OpenAI GPT-3 API
• Developed a custom chatbot using OpenAI GPT-3 API for a medical company
• The chatbot successfully sells services online, learns from user interactions, and provides desired outputs

CERTIFICATIONS

Neo4j Certified Professional
06/2025
Neo4j

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