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ML Engineer & Data Science Consultant

Transforming your data into production-ready ML pipelines

I help small to medium businesses build robust machine learning systems, from concept to deployment. Be it a simple data analysis project where you need to gain actionable insights into your data, creating (or maintaining) a database with either structured or unstructured data, buildig a proof-of-concept Machine Learning algorithm or deploy an end-to-end model pipeline in cloud, I can help you. With 5+ years of experience at top companies like Bosch and expertise in MLOps, I deliver scalable solutions that actually work in production.

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Rahul Bohare - ML Consultant

What I Do

I specialize in end-to-end machine learning solutions that bridge the gap between research and production

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ML Pipeline Development

Design and implement scalable machine learning pipelines using PyTorch, TensorFlow, and modern MLOps tools. From data ingestion to model deployment.

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Data Analytics & Insights

Transform raw data into actionable insights using advanced analytics, statistical modeling, and visualization techniques.

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Backend Development

Build robust APIs and backend systems using Python, FastAPI, and cloud technologies. Specialized in ML model serving and real-time processing.

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MLOps & Deployment

Deploy ML models at scale using Docker, Kubernetes, and cloud platforms. Implement CI/CD pipelines for continuous model improvement.

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Computer Vision

Develop vision systems for autonomous driving, object detection, and industrial applications using state-of-the-art neural networks.

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LLM & RAG Systems

Build intelligent assistants and knowledge systems using Large Language Models, retrieval-augmented generation, and vector databases.

Featured Projects

Real-world applications of machine learning across diverse industries

LLM Project Onboarding Assistant

Robert Bosch GmbH
June 2025 - Present

Developing an LLM assistant leveraging Retrieval-Augmented Generation (RAG) framework with OpenWebUI and asynchronous Python libraries to dynamically generate structured project guides tailored to various team roles.

Python httpx async-lru pydantic OpenWebUI

Enterprise RAG Knowledge System

Robert Bosch GmbH
July 2024 - June 2025

Prototyped integration of various LLMs with proprietary knowledge base to provide natural language query results for enterprise teams, enabling efficient knowledge discovery and retrieval.

Python Docker FastAPI Confluence API OpenAI API ChromaDB

Trailer Weight Detection System

Well-known Automotive Giant
October 2023 - December 2024

Consulted on developing an easily configurable trailer weight detection pipeline using novel neural network architectures and time series analysis for accurate weight estimation.

Python TensorFlow Conda NVIDIA Jetson Keras

Multi-Modal Sensor Fusion Pipeline

Another well-known automotive giant
July 2023 - June 2024

Implemented a pipeline fusing multi-modal data from multiple cameras, generating point clouds and detecting critical area intrusions for enhanced safety monitoring systems.

Python PyTorch NumPy ROS pyrealsense

Autonomous Driving Light Classification

Collaboration project between Robert Bosch and an automotive giant
July 2022 - July 2023

Configured label detection pipeline for fine-tuning models to classify various light sources during autonomous driving, improving vehicle perception capabilities.

Python C++ Gtest Voxel51 AzureML Docker

Autonomous Parking System

Spleenlab GmbH
September 2021 - May 2022

Designed and trained novel neural network architectures for near-field ultrasound sensor-based object classification system, enabling precise autonomous parking capabilities.

Python NumPy Conda Docker

Cell Tower Anomaly Detection

Spleenlab GmbH
May 2021 - August 2021

Trained object-based detection system to identify visible faults in cell tower components. Deployed on Jetson embedded devices using model quantization with TensorRT for real-time operation.

Python NumPy Docker TensorRT

Drone Landing Area Detection

Spleenlab GmbH
October 2020 - June 2021

Implemented state-of-the-art semantic segmentation and object detection models to classify safe drone landing areas. Deployed on Jetson devices using model distillation for optimal performance.

Python NumPy Conda Docker

Experience

Proven track record delivering ML solutions for industry leaders

Software Engineer

Robert Bosch GmbH
June 2022 - Present

Leading development of data-driven solutions across diversified industries. Recent projects include RAG systems with LLMs, consulting an automobile giant to develop a trailer weight detecton system with time series data, building sensor fusion pipelines for another well-known automotive client, among others.

Machine Learning Engineer

Spleenlab GmbH
October 2020 - May 2022

Developed and maintained visual perception pipelines for autonomous systems. Specialized in novel neural network architectures and embedded deployment on NVIDIA Jetson devices.

M.Sc. Computer Science

TU München
2020

Specialized in Machine Learning and Deep Learning. Teaching Assistant for ML courses.

Let's Build Something Amazing Together

Ready to transform your data into intelligent solutions?

Get In Touch

Whether you need a complete ML pipeline, data analysis, or technical consultation, I'm here to help bring your vision to life.

📧 consulting@rahulbohare.com
📍 Germany
💼 Available for consulting projects