Aditya Joshi
Computer Engineering student with specialized experience in AI/ML and GenAI development. Proven track record in building Graph RAG chatbots, developing full-stack applications with Flask and Vue. js, and optimizing backend APIs. Skilled in Python, SQL, and modern AI frameworks.
Experience
AI/ML Intern
Hilwitz Solutions Pvt. Ltd.
Completed a six-month internship focused on AI/ML development, building and deploying machine learning solutions.
Intern
Maharashtra Knowledge Corporation Ltd. (MKCL)
Built a Flask-based API and Vue. js frontend for an Employee Directory System with authentication and role-based access. Developed a multilingual Graph RAG chatbot running on a locally hosted LLM with Neo4j for government schemes datasets. Strengthened expertise in GenAI, multilingual NLP, and knowledge graphs.
Backend Development Workshop
Netcamp Solutions Pvt. Ltd.
Developed and optimized RESTful APIs using Python (Flask) to enhance system efficiency. Designed and implemented an SQL database schema for data management. Collaborated on a Java Script-based front-end project to improve UI/UX.
Education
Savitribai Phule Pune University
BE
CGPA: 7.9/10
Skills
PythonC++JavaSQLJavaScriptTypeScriptKotlin.NETPostgreMyNeo4jLangChainClaude APIFastAPIFlaskReactVue.jsDockerScikit-LearnPostman
Publications
Understanding Quantum Computers
MMCOE, Yearly Magazine
Generated a truly random number using a quantum gate and verified how regular logic gates cannot create truly random numbers. Explained the difference between quantum and regular computers.
Conversational Chatbot for Government Schemes Using Neo4j Knowledge Graph and Multilingual Voice Interface
Unpublished
Graph RAG-powered chatbot for Indian government schemes, combining a Neo4j knowledge graph with a locally deployed LLM and a trilingual voice interface. Achieved 92.4% intent accuracy.
Projects
SalesCope — Sales Analytics SaaS with AI Insights
github.com/adi-21-4/salescope
Built a multi-tenant SaaS (FastAPI, Postgre SQL, React + Type Script) for auto-generated dashboards and AI-written insights from CSV/Excel files. Designed a heuristic column-mapping pipeline.
Government Schemes Graph RAG Chatbot
github.com/adi-21-4/graphbased-chatbot
Built a full-stack, voice-enabled RAG chatbot answering queries in English and Marathi using Neo4j and local LLMs. Implemented speech-to-text via Web Speech API.
AI Powered Chat-bot
github.com/adi-21-4/chatbot
Developed an AI-driven chatbot to handle student queries related to faculty and administration using Java Script and JSON-based database.
Flask API Backend
github.com/adi-21-4/api-backend-with-flask
Built a Flask-based REST API implementing CRUD operations, file upload, and retrieval against a MySQL database with role-based access.
Movie Recommendation System
github.com/adi-21-4/movie-recommendation-system
Built a machine learning-based recommendation system using Python (Pandas, Scikit-Learn) and collaborative filtering algorithms.