AI/ML EngineerFlutter Developer
GenAIHealthTechMobile

Buildingproductsthatunderstandpeople.

From healthcare companions to retrieval systems, I transform machine learning into products people actually use.

CURRENT BUILDING

CreatorOS

Live MVP
MVPSaaSVercel

ANVIKA

Production
v 1.0.0Play Store
CURRENTLY LEARNING
MCPLangGraphBehavior Design
CURRENT STATUS
Seeking AI/ML Roles
AvailableRemoteFull-TimeInternships

SYSTEM BUILD LOG

STATUS: ACTIVE SYNC
30 Aug
CreatorOS - First MVP release·SaaS Live
02 Aug
CreatorOS - Started building the actual SaaS
20 Jul
CreatorOS - Problem discovery & discussion with friend
30 Jun
Anvika Release·Production
24 Jun
Anvika - Closed testing began
10 Jun
Improved onboarding by adding short tutorial
08 Feb
Completed AG-VIM
18 Jan
Started learning MCP & LangGraph
03 Jan
Joined Akiyam

Projects

7 entries
In ProgressJul 2026 – Present

CreatorOS

Creator Scripting SaaS

A dedicated creator's scripting tool built to streamline video content scripting, hook generation, and structured story outline workflows.

  • Script Writing
  • Content Planning
  • Hook Generation
  • Workflow Automation
Next.jsTypeScriptTailwindCSSVercel
In ProgressMay 2026 – Present

ANVIKA

AI Women's Health Companion

FemTech application using AI to provide personalized insights for women's health — cycle prediction, mood analysis, and habit retention.

  • Cycle Prediction
  • Mood Analysis
  • Personalized Recommendations
  • Habit Retention
FlutterFirebaseDrift(SQLite)
CompletedPrivate Research

AG-VIM

Attention Gated Vision Mamba

Brain tumor segmentation using attention gates and vision mamba architecture for medical imaging.

  • Attention Gates
  • Vision Mamba
  • Medical Imaging
  • Tumor Segmentation
PythonPyTorchMONAI
Attention GatesVision MambaMedical ImagingTumor Segmentation

Some things are better discovered than explained.

SpiritualDec 2025 – Jan 2026

JAI HANUMAN

Spiritual AI Experience

An experimental conversational AI experience. The less you know, the more curious you become.

  • Spiritual
  • Conversational
  • Private Research
FlutterGoogle GenAIFirebase
CompletedMay 2025

Chat With PDF

AI Document Assistant

Upload any PDF and have a conversation with it. Built with LangChain and Google GenAI for intelligent document retrieval.

  • Document QA
  • Context Extraction
  • Summarization
LangChainStreamlitGoogle GenAIPython
Completed2025

Group Photo Finder

Face Recognition System

Automated face recognition system that identifies individuals in group photos with 90.73% accuracy.

  • Face Detection
  • Face Recognition
  • Group Analysis
PythonTensorFlowOpenCVScikit-learn
Completed2025

Reboot25

Pomodoro Productivity App

A Pomodoro timer app to reclaim focus. Built with Flutter and Firebase, available on Google Play Store.

  • Pomodoro Timer
  • Focus Tracking
  • Session History
FlutterFirebase

Experience

5 entries

Shipping retrieval-augmented generation pipelines for client projects — vector stores, retrieval tuning, and evaluation harnesses for enterprise AI.

  • Production RAG pipelines
  • Client project delivery
  • Vector database optimization
QdrantLangChainDockerVector Databases

Automated ML pipelines and integrated third-party APIs to cut manual workflow time across the team.

  • Increased productivity by 70%
  • API integrations
  • ML pipeline automation
TensorFlowKerasLangChain

Built computer vision and OCR systems for real-world document processing and text extraction.

  • Computer Vision
  • OCR systems
  • Document processing
TensorFlowFlaskStreamlit

Streamlined infrastructure with infrastructure-as-code, cutting setup and deployment friction.

  • Reduced setup time by 60%
  • Reduced deployment failures by 40%
  • Infrastructure automation
TerraformAWSDocker

Started the app development journey with cross-platform mobile applications on Flutter & Dart.

  • Cross-platform development
  • Mobile UI/UX
  • App deployment
FlutterDartAndroidiOS

Thoughts

3 notes

Healthcare software

often asks too much

from its users.

I want software that

adapts instead.

AI products should

earn habits before

asking for subscriptions.

Prediction engines

should explain uncertainty

- not hide it.

Contact

terminal

Software should understand people. That's what I'm trying to build.