01GENERATIVE AI
Temple-Based AI Chatbot
Python · Ollama · RAG · ChromaDB
Implemented a practical LLM-based chatbot using Python, Ollama, RAG, and ChromaDB.
01User
02Query
03RAG
04ChromaDB
05Context
06LLM
07Response
Project notes
Available for Python / AI opportunities
Building intelligent applications with AI, ML & data.
Python Developer and Junior Data Scientist with 2.8 years of professional experience building Python, Machine Learning, Flask, SQL/MySQL, and AI-powered applications.
Let's connect
Python
RAG
Flask
AI
01
retriever.run(query)→ contextScroll to explore
01Profile
More than
just code.
I’m a Python Developer and Junior Data Scientist with 2.8 years of professional experience working across Python development, Machine Learning, Flask applications, SQL/MySQL systems, data processing, and Generative AI.
I have personally developed 17 end-to-end Python, Machine Learning, Flask, and Data Analysis projects, covering data collection, preprocessing, model development, evaluation, and application integration.
I have also contributed to real-world PHP/MySQL/JavaScript applications and practically implemented an LLM-based RAG chatbot using Python, Ollama, and ChromaDB.
2.8+Years experience
17Projects developed
32K+Records processed
LLM / RAGImplementation
02Capabilities
My technical
stack.
A practical toolkit shaped around Python, data, intelligent systems, and the applications that make them useful.
01
Programming
The languages behind practical, usable systems.
PythonSQLPHPJavaScriptHTMLCSS
02
Python & Data
From raw records to model-ready insight.
PandasNumPyScikit-learnTensorFlowPyTorchMatplotlib
03
AI & Generative AI
Retrieval and generation with purpose.
LLMOllamaRAGChromaDBAI ChatbotsConversational AI
04
Machine Learning
A grounded, end-to-end modeling workflow.
Data PreprocessingData CleaningFeature EngineeringModel TrainingModel EvaluationPredictive AnalyticsDeep LearningNLP
05
Application Development
Turning intelligence into applications.
FlaskWeb ApplicationsAuthenticationDashboardsReporting SystemsDatabase Connectivity
06
Databases
Structured and semantic data foundations.
MySQLMongoDBChromaDB
07
Tools
A focused toolkit for building and learning.
GitGitHubVS CodePyCharmJupyter NotebookAnacondaGoogle ColabStreamlit
08
Analytics
Making patterns clear to people.
TableauPower BIExcelData Visualization
03Selected work
Things I’ve
built.
Real implementations, honest scope. Expand each project for the story behind the work.
02APPLICATION DEVELOPMENT
Financial Planning Application
PHP · MySQL · JavaScript
Contributed to a PHP/MySQL-based financial planning web application as part of the development team.
Project notes
03CLIENT APPLICATIONS
Dental Council Management Systems
PHP · MySQL · JavaScript
Contributed development, enhancement, debugging, and maintenance work across two state-level Dental Council web applications.
AuthenticationAppointmentsDashboardsReportingExcel ExportPDF Export
Project notes
04MACHINE LEARNING
Machine Learning & Flask Applications
Python · Flask · Machine Learning · Pandas · Scikit-learn
Built predictive analytics applications covering data preparation, model development, evaluation, and Flask-based integration.
Data
Cleaning
Preprocessing
Feature Engineering
Model Training
Evaluation
Flask Application
Project notes
05DATA PROCESSING
Large-Scale Data Processing
Python · Pandas · Data Processing
Developed Python scripts to clean and process approximately 32,000 records for a data-processing project.
32,000+records processed
Project notes
04Experience
Building with
intent.
01
Python, ML & Project Development
- Developed 17 end-to-end Python, Machine Learning, Flask, and Data Analysis projects.
- Handled data collection, cleaning, preprocessing, and feature preparation.
- Built, trained, tested, and evaluated Machine Learning models.
- Integrated trained models into applications using Flask.
- Debugged and troubleshot project implementations.
02
Client Application Development
- Contributed to two state-level Dental Council PHP/MySQL applications.
- Worked on authentication, dashboards, reporting, appointment management, and Excel/PDF exports.
- Worked on chatbot functionality and requested feature changes.
- Contributed to a PHP/MySQL/JavaScript financial planning application.
- Developed the chatbot module and assigned application-side functionality.
- Contributed admin-side functionality involving donations, advertisements, receipts, notifications, WhatsApp notifications, and scheduling.
03
AI & Chatbot Development
- Practically implemented an LLM-based chatbot using Python, Ollama, RAG, and ChromaDB.
- Implemented retrieval-based conversational functionality.
- Completed implementation and handed the project over to another developer.
04
Data Processing
- Developed Python scripts to clean and process approximately 32,000 records.
05
Freelance Development — Clipzo.in
- Freelance developer for Clipzo, a professional videographer and photographer booking platform.
- Working on a website where clients book videographers and choose wedding and event packages.
- Ongoing freelance engagement since May 2026.
05Education
Learning in
motion.
2024 — Present
Master of Computer Applications (MCA) — Data Science
JAIN (Deemed-to-be University), India
Data ScienceMachine LearningPredictive AnalyticsFeature EngineeringData Visualization
2020 — 2023
Bachelor of Computer Applications (BCA)
SDM College of Business Management, India
06Highlights
Built. Learned.
Implemented.
A career shaped by curiosity, hands-on delivery, and a habit of taking ideas all the way to working software.
0117
End-to-end Python/ML/Flask projects
0232K+
Records cleaned and processed
03LLM + RAG
Practical chatbot implementation
042.8 years
Professional experience
05Python + Flask
End-to-end application development
Participated in technical workshops related to Python and Artificial Intelligence.
07Signature system
Inside an
AI application.
A practical retrieval-augmented flow: ground the answer in relevant context, then let the model generate.
System architecture / active
RAG_PIPELINE_0101User Query
02Python Application
03Retriever
04ChromaDB Vector Database
05Relevant Context
06Ollama / LLM
07Generated Response
RetrievalContextGeneration
08Method
From data to
application.
A clear path from a messy question to something a person can use.
01
Collect
Bring the right data together.
02
Clean
Make every record dependable.
03
Prepare
Shape inputs for the problem.
04
Train
Build a model that learns.
05
Evaluate
Test the signal honestly.
06
Deploy
Put the result to work.
09Get in touch
Have a Python, AI
or data problem
to solve?
Let’s build something useful.