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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