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Aditya LadawaAL
Looking for a job

Aditya Ladawa

@adityaladawa

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

Germany
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What I'm looking for

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.

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

Work history, roles, and key accomplishments

Brandl Nutrition logoBN
Current

AI and Processes

Aug 2025 - Present (1 year 1 month)

- 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

Technische Universität Braunschweig logoTB

Research Assistant: Agentic AI

May 2025 - Sep 2025 (4 months)

- 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

TechR logoTE

AI/ML Intern

Jun 2023 - Mar 2024 (9 months)

- 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

Degrees, certifications, and relevant coursework

TB

Technische Universität Braunschweig

MSc., Data science

2024 - 2026

PE

P.E.S's Modern College of Engineering

Bachelor of Engineering, Artificial Intelligence & Data Science

2021 - 2024

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