# Aditya Ladawa

Aditya Ladawa is a remote worker on Himalayas, AI and Processes at Brandl Nutrition, based in Germany.

Source: https://himalayas.app/@adityaladawa

```text
I build AI automation, forecasting, and data pipelines in Python.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Germany |
| Authorized to work in | Germany |
| Salary expectations | 20k+ EUR |
| Job categories | Data Scientist, Machine Learning Engineer, AI Engineer, Data Engineer |
| Skills | Data Science, Python, AWS, AWS Fargate, Amazon EventBridge, Forecasting, Prophet, Hidden Markov Models, Hmmlearn, Inventory Optimization, Economic Order Quantity, Looker, Generative AI, Large Language Models, Agentic AI, Lang Chain, LangGraph, Langsmith, RAG, fastAPI, AsyncIO, Multimodal AI, Computer Vision, Transformers, Generative Adversarial Networks, CycleGAN, TensorFlow, PyTorch, Image Denoising, MongoDB, Qdrant, Redis, PostgreSQL, Next.js, FFmpeg Python, FFMPEG, MoviePy, N8n, Data Processing, Data Pipelines, ETL, MapReduce, Dashboard Development |
| LinkedIn | https://linkedin.com/in/aditya-ladawa |

## What I'm looking for

```text
I'm looking to build practical AI, machine learning, and data automation systems, especially forecasting, agentic workflows, and LLM-based products where I can deepen my technical skills and deliver measurable operational impact.
```

## About

```text
I'm building AI and data systems at Brandl Nutrition, where I automate demand forecasting and inventory optimization across Amazon, Shopify, and Google Sheets.

I built AWS Fargate and EventBridge ingestion handling about 111K rows and 246 columns per run, Prophet forecasts, HMM regimes, Looker Studio dashboards, and EOQ–Reorder Point recommendations for SKU stock intelligence.

At TU Braunschweig, I built an async multimodal literature-mining backend that screened 2.5K papers in minutes, using LLM pipelines, RAG, FastAPI, PDF-to-report automation, and real-time progress streaming. My earlier AI/ML internship work included TensorFlow and PyTorch pipelines, image denoising, GANs, Transformers, and adapting CycleGAN for 3D MRI scans.
```

## Experience

### AI and Processes (current)

Brandl Nutrition. Aug 2025 - Present

```text
- Built an automated demand forecasting and inventory optimization pipeline across Amazon, Shopify, and Google Sheets.
- Implemented a statistical EOQ–Reorder Point model for accurate reorder date suggestions.
- Automated multi-channel data ingestion via AWS Fargate + EventBridge (~111K rows × 246 cols/run, 15 min, €3/mo).
- Generated Prophet-based forecasts, HMM regimes, and Looker Studio dashboa
```

### Research Assistant: Agentic AI

Technische Universität Braunschweig. May 2025 - Sep 2025

```text
- Built a fully async, multimodal literature-mining backend (2.5K papers screened in few minutes).
- Engineered bounded-concurrency LLM pipelines for large-scale paper screening and classification.
- Automated PDF-to-report generation with AI-based figure description and structured Markdown outputs.
- Delivered a production-grade FastAPI system integrating async I/O, RAG, and real-time progress st
```

### AI/ML Intern

TechR. Jun 2023 - Mar 2024

```text
- Researching computer vision based models (Transformers and GANs)
- Creating deep learning pipeline in TensorFlow and PyTorch
- Finetuning image denoising models
- Adapting CycleGAN architecture for 3D MRI scans data
```

## Education

### Technische Universität Braunschweig

MSc., Data science. 2024 - 2026

### P.E.S's Modern College of Engineering

Bachelor of Engineering, Artificial Intelligence & Data Science. 2021 - 2024

## Tech stack

- Looker
- AWS Fargate
- PostgreSQL
- MongoDB
- Next.js
- FFMPEG
- Redis
- Python
- TensorFlow
- PyTorch
- FastAPI
- asyncio
- Transformers
- Amazon EventBridge
- Qdrant
- LangChain
- N8N
- LangGraph
- LangSmith
- Looker Studio

To contact Aditya, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

## People also viewed

- [Abdul-Hamed Chribati](https://himalayas.app/@abdulhamedchribati): QA Data Engineer, Adesso SE
- [Sagar M A](https://himalayas.app/@sagarma): Data Science (Virtual Intrenship), British Airways
- [Aziz Taktak](https://himalayas.app/@aziztaktak): Data Scientist / AI Engineer, Bosch Rexroth
- [Nandish User](https://himalayas.app/@nandishuser): Research Assistant, Otto von Guericke University / Mycrocast
- [Bilel kort](https://himalayas.app/@bilelkort): AI & RAG Werkstudent, Cerballiance
- [Shreyas Sandbhor](https://himalayas.app/@shreyassandbhor): Software Engineer Intern, Nakster
- [Grant Sutcliffe](https://himalayas.app/@grantsutcliffe): Professional Development, Self Employed
- [Prajna Bhat](https://himalayas.app/@prajnabhat1): Data Science Working Student, Technical University of Berlin
- [Subrahmanya Avadhani](https://himalayas.app/@subrahmanyaavadhani): Senior Data Scientist, Aily Labs
- [Haaroon Afroz Ognawala](https://himalayas.app/@haaroonafrozognawala): Research Assistant (HiWi) Deep Learning in Computer Vision, Bauhaus University