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DattaDhebe/README.md

Datta Dhebe — Backend Engineering and Applied AI. Building reliable systems. Turning AI into useful products.

LinkedIn   ·   Website   ·   Explore my projects ↗

Enterprise experience. A builder's curiosity.

I'm Datta Dhebe, an Information Technology Analyst at NTT DATA with 6+ years of software development experience. I build enterprise backends and practical AI applications, connecting reliable APIs, cloud services, and machine learning with useful product workflows.

My work spans Python, C#/.NET, Java, and Azure. Here, you'll find AI developer tools, incident-memory systems, mobile applications, and reproducible ML experiments.

Selected projects

01 / RecallOps

Evidence-backed incident memory

Recalls relevant resolved incidents with provenance and supporting evidence for operator review.

FastAPI Vector search Agent memory

Local workflow implemented; cloud integrations await live validation.

02 / Local Coding Assistant

AI tools with workspace context

Streaming chat, repository search, Git context, and approval-gated edits and commands with local models.

Python Angular Ollama SQLite

Includes a VS Code extension and a local development workflow.

03 / Student Health Risk Analytics

Reproducible tabular ML research

CatBoost experiments with stratified validation, per-class diagnostics, and auditable model comparisons.

CatBoost Python Cross-validation

Reference OOF balanced accuracy: 0.94909. Synthetic benchmark; research prototype.

04 / Dhebe AI Lead Agent

AI-assisted business follow-up

Lead management, reminders, and Gemini-powered reply drafts, with user review before sending.

Flutter PHP MySQL Gemini

MVP focused on a practical small-business workflow.

05 / DhebeVoice

Long-form reading, aloud

An Android reader for text, EPUB, PDF and web content, with saved books, chapter controls and background playback.

Flutter Dart Android TTS

App screenshots, import limits and setup are documented in the repository.

06 / Dhebe Studios

Document and developer utilities

A web tools hub covering PDF workflows, Base64 conversions, image tools, calculators and email templates.

Next.js TypeScript React

Feature coverage and static-hosting instructions are documented in the repository.

Speech model experiments: TTS Humanize · Personal Voice TTS — dataset preparation, Coqui/VITS training, and checkpoint inference.

Engineering toolkit

Focus Technologies
Backend & APIs Python · FastAPI · C# · ASP.NET Core · Java · Spring Boot
Cloud & data Azure · Azure Functions · Queues · SQL · MongoDB · SQLite
Applied AI & ML LLM applications · RAG · Ollama · PyTorch · CatBoost · Speech synthesis
Web & mobile Angular · TypeScript · Flutter · REST APIs · Authentication · Role-based access

How I build

  • Start with the workflow. Define the problem and make a useful baseline.
  • Design for reliability. Make failure cases, permissions, and operator control explicit.
  • Measure before improving. Use reproducible experiments and document results and limitations.

Currently exploring grounded AI assistants, agent memory, and local-model tooling.

Let's build something useful.
Open to collaboration on backend systems, practical AI tools, and applied ML.

Connect on LinkedIn ↗

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  1. recallops recallops Public

    Incident-memory assistant with evidence-backed recall, provenance and operator review. FastAPI, vector search, CockroachDB and Bedrock integrations.

    Python

  2. codeme codeme Public

    Local AI coding assistant with Ollama, FastAPI, Angular and a VS Code extension: repository-aware chat, Git context and approval-gated edits.

    TypeScript

  3. student-health-risk-analytics student-health-risk-analytics Public

    Reproducible student health-risk classification research with CatBoost, stratified validation, balanced accuracy, and auditable experiments.

    Python

  4. dhebe-ai-lead-agent dhebe-ai-lead-agent Public

    AI-assisted lead follow-up MVP with Flutter, PHP, MySQL and Gemini: manage leads, schedule reminders and review reply drafts before sending.

    Dart

  5. dhebevoice-app dhebevoice-app Public

    Android text-to-speech reader for TXT, EPUB, PDF and web pages, with chapter playback, Bluetooth controls and optional on-device neural voices. Built with Flutter and Kotlin; no paid TTS API required.

    Dart

  6. tts_humanize tts_humanize Public

    GPU-accelerated Coqui TTS VITS project for dataset cleaning, voice training, and natural-sounding speech inference.

    Python