AI / ML
Machine Learning with Python
IBM
Open to freelance & full-time roles
Anagha K T P
builds systems that retrieve, reason, and respond.
Available for opportunities
Tech stack
PyPython
TFTensorFlow
FAFastAPI
AzAzure
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Projects Built
0
Internships Completed
0
Companies Worked With
0
Professional Certifications
0
B.E. AI & ML Degree
0+
GitHub Repositories
01 / About
AI Engineer building reliable, production-ready AI systems.
I'm an AI Engineer and Python Developer with a Bachelor of Engineering in Artificial Intelligence and Machine Learning. My work focuses on building reliable, production-ready software systems—specifically Generative AI applications, backend APIs, and LLM-powered agents that perform reliably outside a notebook environment.
Across internships and freelance work, I've worked on machine learning models, Android development, and FastAPI/Flask backend engineering—which means I'm comfortable owning a feature end-to-end: model, API, and interface.
I care about writing code that's production-ready, not just proof-of-concept, and about shipping things clients and teams can actually rely on.
5
Internships completed
B.E.
AI & ML graduate
AI
Engineering Focus
IN
Remote-ready, Kerala
Ground everything
Retrieval before generation. Answers should trace back to a source, not a guess.
Ship, don't demo
A model in a notebook isn't a product. I care about the API, the deploy, the edge cases.
Own the full stack
Comfortable moving between model, backend, and interface so nothing gets lost in handoff.
02 / Capabilities
What I bring to a project.
Five focused service areas, backed by a stack built for shipping AI products.
AI
AI Chatbots & RAG
LLM-powered chatbots grounded in your own documents via retrieval-augmented generation.
LLMsRAGPrompt Eng.
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Backend & APIs
REST APIs designed and shipped with FastAPI and Flask for AI and data-driven apps.
FastAPIFlaskREST
⚙
Python Automation
Scripts that remove repetitive manual work and cut turnaround time.
PythonScripting
ML
Machine Learning
Model training and deployment for classification, prediction, and analytics.
TensorFlowPyTorchScikit-learn
DB
Data & Cloud
Structured data pipelines, SQL/MongoDB, and Azure-based deployment.
SQLMongoDBAzure
AN
Android Development
Native apps in Kotlin, from architecture through to AI-integrated features.
KotlinAndroid Studio
Skill balance
03 / Selected Work
Projects that ship, not just demos.
Filter by category, expand for a quick summary, or open the full case study.
01 · GenAI
DocMind — RAG-Based Document Chatbot
An API-driven RAG chatbot developed with FastAPI and vector embeddings that answers user queries grounded in uploaded document sets.
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Problem
Users needed accurate Q&A from large document sets without manual reading or hallucinated LLM responses.
Key features
Retrieval-augmented generation (RAG) backend; semantic vector search; context-aware grounding logic.
Technologies
Result
FastAPI-driven RAG chatbot answering document queries with source grounding and zero hallucinations.
02 · AI + Android
Grama Waste Tracker (PashuSwasthya)
An Android application built in Kotlin/Jetpack Compose using Gemini AI for waste classification, paired with a React admin console for real-time tracking.
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Problem
Rural areas lacked localized real-time waste tracking and automated classification tools.
Key features
On-device Gemini AI image classification; Firebase real-time database; React map tracking dashboard.
Technologies
Result
Deployed mobile application and admin terminal enabling real-time waste classification and tracking.
03.1 / Live from GitHub
What I've been building.
Pulled live from the GitHub API — repositories, languages, and activity.
Fetching GitHub data…
04 / Experience
Where I've worked.
AI Evaluator & Specialist Freelance
Deccan AI Experts · Jul 2026 – Present
Evaluated and optimized AI agent and LLM responses through systematic prompt engineering and workflow testing; built Python-based evaluation tools to assess model behavior at scale.
Android App Development Intern (Gen AI) Internship
MindMatrix · Feb 2026 – May 2026
Engineered a GenAI-integrated Android application in Kotlin, implementing generative AI features within a mobile application architecture.
AI & ML Intern Internship
Hepro AI · Jan 2026 – Mar 2026
Developed classification and regression models using Scikit-learn within a reusable object-oriented pipeline to improve accuracy.
Data Analytics Intern Internship
Vodafone Idea Foundation · Sep 2025 – Nov 2025
Analyzed telecom usage data with Python, Pandas, and SQL to surface customer-segment patterns and automate reporting workflows.
AI, ML & Front-End Development Intern Internship
Edunet Foundation (IBM SkillBuild) · Jun 2025 – Aug 2025
Built and validated ML models using feature engineering, integrating outputs into React dashboards for stakeholder data visualization.
04.1 / Resume
Resume
Preview or download my latest resume highlighting my experience in AI engineering, generative AI, Python backend development, and building production-ready AI systems.
05 / Certifications
Professional Certifications
Industry-recognized certifications in Artificial Intelligence, Cloud Computing, Machine Learning, Cybersecurity, and Software Engineering.
AI / ML
IT Specialist: Artificial Intelligence
Pearson / Certiport
Cybersecurity
Fundamentals of Cybersecurity (EDU-102)
Zscaler Training
Let's build something.
Open to freelance projects, internships, and full-time AI/ML and backend roles. Reach out directly or send a message below — I usually reply within a day.