Tarun Gupta · AI Systems Architect · LLM & MLOps Consultant

I turn scattered AI capabilities into tools people can actually run.

10+ years engineering production systems, 5+ years specialised in AI/ML · GenAI · MLOps. LLM invoice pipeline saving $100K+/month, voice AI agents auto-resolving ~65% of inbound calls, 7 RAG chatbots and 5 forecasting pipelines each shipped from a single codebase — plus open-source AI tools with 100+ GitHub stars.

● Available immediately · EU relocation ready 🇩🇪 EU Blue Card · fast-track re-issue ⬡ SnowPro Core + Gen AI ✦ Anthropic ×4 Certified German A2 · English C1
Or get occasional notes →
Tarun Gupta
$100K+saved / month
~65%calls auto-resolved
164+GitHub stars
5 industriesAI consulting
By the numbers

What I bring

10+
Years Production AI/ML
$100K+
Monthly Cost Saved via LLM Pipelines
~65%
Inbound Calls Auto-Resolved by Voice AI
7
Production RAG Chatbots · 1 Codebase
5
MLOps Forecasting Pipelines · 1 Codebase
164+
GitHub Stars — Open-Source AI Tools in Production
Technical Stack

Skills

🤖 AI / LLM

LangGraphCrewAILangChain Multi-Agent SystemsRAGPrompt Engineering Azure OpenAIGPT-4 / Claude / GeminiDSPy Two-Tower ArchitectureNDCG / Precision@K

⚙️ MLOps & Infra

SnowflakeKubernetes (EKS) TerraformGitHub Actions DockerModel Registry Feature StoreSageMaker Prometheus / GrafanaOpenTelemetry

👁️ Computer Vision

YOLOv11OpenCV Edge DeploymentWebAssembly Inference Ensemble ModelsMedical Imaging (BraTS) UNET / VNETCNN

☁️ Cloud & Backend

AWS (S3, EKS, EMR, Lambda, Kinesis) Azure (OpenAI, Document Intelligence) FastAPIApache Spark KafkaAirflow PostgreSQLPinecone Redisn8n

🐍 Languages & Frameworks

PythonScala Node.jsSQL JavaScript / TypeScript Next.jsStreamlitDjango

📊 ML / Data Science

Scikit-learnPyTorch TensorFlowLightFM Time-Series ForecastingAnomaly Detection XAI / ExplainabilityActive Learning NLP / Transformers
Open Source & Personal Projects

Projects

Ship it like a product

Open Source & Distribution

Side projects that are installed, not just starred — published to PyPI, shipped as Claude Code plugins, wired into the MCP ecosystem (Official MCP Registry · Glama · Smithery manifests), shipped as Docker images on GHCR, CI-tested on every push, MIT-licensed. Bring your own key: every tool runs against your choice of LLM provider — including fully local.

autopilot-jobhunt

164 · 43 forks
pip install autopilot-jobhunt

Autonomous job-search agent: scans 130+ careers pages nightly, LLM-scores every role 0–100 against your full resume, alerts via Telegram, drafts tailored resume + cover letter on demand. 4-model OpenRouter fallback chain → $0 API cost. Runs 24/7 on a Raspberry Pi.

PyPIMCP · listed on GlamaDockerGitHub Actions CIMIT

inbox-to-action

BYOK · 6 providers
pip install inbox-to-action

One-pass agentic inbox triage: classify, summarize, extract tasks, draft replies (drafts only — no send scope exists in the codebase, enforced by test). Provider-agnostic BYOK: Ollama (fully local), keyless Claude Code, OpenRouter, OpenAI, NVIDIA NIM, Anthropic. MCP server + Claude Code skill included.

PyPIMCP Registry · Smithery · GlamaDocker / GHCRCIMIT

fable-mode

0 · MIT
/plugin marketplace add tarunlnmiit/fable-mode

Fable-class discipline on any Claude model. A SessionStart + SubagentStart hook injects an always-on ruleset into every session and subagent — five failure modes → five rules, plus a stronger-model consult on Haiku/Sonnet. Zero config, on by default.

Claude Code PluginMarketplaceSessionStart HookMIT
164+
GitHub Stars Across Tools
2
Packages on PyPI
2
MCP Servers Shipped
6
LLM Providers · BYOK
24/7
Self-Hosted on Raspberry Pi
1
Claude Code Plugin
Work History

Experience

Generative AI & LLM Systems

Voice AI Agents for Customer Service

May 2025 – Jan 2026
LPDG Group · Managing Consultant — AI & Data Science · Retail/E-commerce · Germany 🇩🇪
  • Deployed end-to-end voice AI agents (STT → LLM → TTS) handling inbound customer service calls autonomously — integrated with order management + inventory via tool calls for full resolution without human escalation
  • ~65% calls auto-resolved · multi-FTE workload absorbed · ~40% average handle-time reduction
  • Stack: CrewAI · VAPI · n8n · Twilio · Azure OpenAI · Azure STT/TTS · Streamlit

Intelligent Invoice Entity Recognition Platform — $100K+/month savings

Apr 2023 – Present
LPDG Group · Managing Consultant — AI & Data Science · Utilities · India 🇮🇳
  • FTP → Azure Document Intelligence → LLM → Snowflake → Streamlit pipeline processing multi-format PDFs (1–1,000 pages); confidence-gated human review prevented silent errors
  • Service-address normalisation against ground-truth source; Snowflake-native with zero external orchestration
  • Stack: Python · Snowflake · Azure Document Intelligence · Azure OpenAI · Streamlit · GitHub Actions CI/CD

7 Production RAG Chatbots — 1 Plug-and-Play Framework

Apr 2023 – Present
LPDG Group · Managing Consultant — AI & Data Science · Multi-client 🌐
  • Shipped 7 production chatbots from one client-agnostic framework — new client = new config, not new codebase; multi-turn conversation via LangChain Retrieval Agents + Conversation Memory
  • FAISS + Azure AI Search for semantic retrieval; FastAPI async; Kubernetes auto-scaling + Terraform-provisioned infra
  • Led cross-functional team of 4 engineers + 3 client SMEs across all 7 deployments

LLM Product Intelligence Dashboard

May 2022 – Feb 2023
Vivere GmbH · Applied Data Scientist · Hamburg, Germany 🇩🇪 · 9-month fixed-term
  • Built LLM-powered product intelligence dashboard (Azure OpenAI + BigQuery + PostgreSQL) — non-technical product teams query market data conversationally
  • Competitor clustering, organic-vs-inorganic spend attribution; event-driven Asana/email alerting via FastAPI/Pydantic
  • Self-serve Streamlit UI eliminated manual competitor research across product and marketing teams

MLOps & Forecasting Pipelines

Reusable MLOps Forecasting Framework — 5 Use Cases, 1 Codebase

May 2025 – Jan 2026
LPDG Group · Managing Consultant — AI & Data Science · Manufacturing & E-mobility · Germany 🇩🇪
  • One parameterised pipeline (pre-process → train → infer → post-process) serving 5 assembly-line + e-mobility forecasting use cases with zero code duplication
  • Eliminated costly Snowflake → Databricks → Snowflake round-trips; resolved missing sensor time-series via behavioural clustering — enabling reliable forecasting where previously impossible
  • Snowflake Model Registry + Feature Store; GitHub Actions CI/CD across all 5 pipelines

Large-Scale Text Processing & Email Generation

Apr 2023 – Mar 2024
LPDG Group · Managing Consultant — AI & Data Science · India 🇮🇳
  • GPT-3.5 + Apache Spark on AWS EMR for large-scale unstructured text → structured email conversions
  • Airflow for scheduling, dependency management, and failure recovery across batch jobs
  • Processed 100K+ documents; maintained Snowflake fact table for downstream analytics

Computer Vision & Anomaly Detection

YOLOv11 Radiator Classification (Edge Deployment)

Feb 2026 – Present
LPDG Group · Senior AI/ML Engineer · India 🇮🇳
  • YOLOv11 ensemble (3 models) handles class imbalance across radiator types — classifies radiator serviceability from single field image with 95%+ accuracy
  • Browser-based WebAssembly inference — zero cloud calls, fully offline in remote field conditions with no connectivity
  • Deployed on Snowflake Container Services; back-office Streamlit app enables continuous retraining without engineering intervention

Real-Time Gesture & Shape Tracking

Apr 2024 – Apr 2025
LPDG Group · Senior AI/ML Engineer · India 🇮🇳
  • Real-time human gesture tracking via OpenCV + pose estimation — live demonstration at WETEX Dubai (major Middle East energy exhibition)
  • Sub-100ms latency on standard hardware; Streamlit demo interface for stakeholder engagement

ML Algorithm Benchmarking & Anomaly Detection

Apr 2024 – Apr 2025
LPDG Group · Senior AI/ML Engineer · India 🇮🇳
  • Benchmarked 10+ ML algorithms against 15+ class imbalance strategies (SMOTE, class weights, threshold tuning, ensemble methods)
  • Automated end-to-end anomaly detection pipeline on AWS (S3, Lambda, SageMaker, Docker, Jenkins)
  • Selected optimal config via grid search; deployed monitoring dashboard for real-time anomaly alerts

Research & Explainable AI

Data Scientist (Research) — AI & XAI

Oct 2020 – Mar 2022
IBMI, Universitätsklinikum Magdeburg · Magdeburg, Germany 🇩🇪
  • Active learning on BraTS2017 medical imaging: Query-By-Committee (KLD · JSD · Entropy) — 7% improvement in informative sample selection over random; precision fluctuation reduced 12% → 1%, cutting annotation cost
  • Explainable Deep RL: Dropout DQN + saliency maps — 3–6% performance improvement using only 2.5–10% training data via MMD-Critic selection; IRTEX image retrieval with 80% majority user approval (85% global, 65% local explanations)
  • MSc thesis: Human Brain Simulation (VisMem cognitive model on Nengo) · IEEE paper: IRTEX — Image Retrieval with Textual Explanations (XAI), ieeexplore.ieee.org/document/9582666

Backend & Full-Stack Infrastructure

Database Migration & Testing Framework

Apr 2019 – Sep 2020
3DQR GmbH · Software Engineer — Data & Backend · Magdeburg, Germany 🇩🇪

Software Engineer — Data & Backend

Jan 2016 – Oct 2018
Careers360 · ConveGenius Group · Delhi / Noida, India 🇮🇳
Credentials

Certifications & Education

Certifications

SnowPro Core

Snowflake · Certified

SnowPro Specialty: Gen AI

Snowflake · Certified

Introduction to Agent Skills

Anthropic · Certified

Building with the Claude API

Anthropic · Certified

Introduction to MCP

Anthropic · Certified

Claude Code in Action

Anthropic · Certified

AWS Machine Learning Specialty

Amazon · In Progress · Q3 2026

Education

🎓

MSc Digital Engineering

Otto-von-Guericke University, Magdeburg 🇩🇪

🎓

BTech Computer Science

LNMIIT, Jaipur 🇮🇳

Peer-reviewed & presented

Research & Publications

IEEE Paper

IRTEX — Image Retrieval with Textual Explanations (XAI)

Explainable image retrieval with heatmaps + saliency maps at set and individual level. 80% majority user approval (85% global, 65% local explanations), validated via user studies. Published at IEEE — ieeexplore.ieee.org/document/9582666.

Research

Active Learning on Medical Imaging (BraTS2017) — Universitätsklinikum Magdeburg

Query-By-Committee (KLD · JSD · Entropy): 7% improvement in informative sample selection over random; precision fluctuation reduced 12% → 1% — cutting medical-image annotation cost.

Research

Explainable Deep Reinforcement Learning — Data Efficiency over Data Volume

Dropout DQN + saliency maps on MNIST / Space Invaders: 3–6% performance improvement using only 2.5–10% of training data via MMD-Critic sample selection.

MSc Thesis

Human Brain Simulation — VisMem Cognitive Model on Nengo

MSc Digital Engineering thesis, Otto-von-Guericke-Universität Magdeburg — computational cognitive modelling of visual memory.

Live Demo

Real-Time Gesture AI — WETEX Dubai

Live demonstration of real-time human gesture tracking (OpenCV + pose estimation, sub-100ms latency) at WETEX Dubai, a major Middle East energy exhibition.

Thought Leadership

Writing & Content

AI in Plain English

You're Still Paying $200/Month for AI Tools You Could Replace With a Free Local Setup Tonight

Read on Medium →
Technology Hits

Python Silently Lied to You (And You Didn't Notice)

Read on Medium →
Illumination

I Stopped Googling Travel Guides. I Interrogated an AI Instead — the Exact Prompt That Worked

Read on Medium →
50+
Technical Articles on Medium — published across AI in Plain English, Technology Hits, Illumination & more
Breath of Data Science — YouTube channel · practitioner guides
200+
Pieces/Month Published via My Own AI Content Machine — this content pipeline is itself a project
Field notes

What actually ships — a note every few weeks

Patterns from real production AI work. No hype.

Get in touch

Contact

Email

tarungupta.medium@gmail.com

📱

Phone

+91 7838 868 072

💼

LinkedIn

linkedin.com/in/tarun-gupta-in

GitHub

github.com/tarunlnmiit

Medium

tarun-gupta.medium.com

YouTube

@breathofdatascience

Send me a message