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Hi, I’m Rohit Hebbar, a Machine Learning Engineer based in Graz, Austria. I specialize in building AI-powered market intelligence platforms, developing scalable AI solutions with LLMs, Python, TypeScript, and FastAPI, and designing autonomous AI workflows for data analysis and business intelligence. I enjoy bridging traditional ML with symbolic AI to enable robust decision‑making in real‑world environments. My work spans computer vision, model deployment with ONNX, and real‑time segmentation, with a track record of improving reconstruction accuracy and latency. I’m passionate about collaboration, rapid experimentation, and delivering enterprise‑grade software solutions.…Hi, I’m Rohit Hebbar, a Machine Learning Engineer based in Graz, Austria. I specialize in building AI-powered market intelligence platforms, developing scalable AI solutions with LLMs, Python, TypeScript, and FastAPI, and designing autonomous AI workflows for data analysis and business intelligence. I enjoy bridging traditional ML with symbolic AI to enable robust decision‑making in real‑world environments. My work spans computer vision, model deployment with ONNX, and real‑time segmentation, with a track record of improving reconstruction accuracy and latency. I’m passionate about collaboration, rapid experimentation, and delivering enterprise‑grade software solutions.

Rohit Hebbar

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Rohit Hebbar, a Machine Learning Engineer based in Graz, Austria. I specialize in building AI-powered market intelligence platforms, developing scalable AI solutions with LLMs, Python, TypeScript, and FastAPI, and designing autonomous AI workflows for data analysis and business intelligence. I enjoy bridging traditional ML with symbolic AI to enable robust decision‑making in real‑world environments. My work spans computer vision, model deployment with ONNX, and real‑time segmentation, with a track record of improving reconstruction accuracy and latency. I’m passionate about collaboration, rapid experimentation, and delivering enterprise‑grade software solutions.…Hi, I’m Rohit Hebbar, a Machine Learning Engineer based in Graz, Austria. I specialize in building AI-powered market intelligence platforms, developing scalable AI solutions with LLMs, Python, TypeScript, and FastAPI, and designing autonomous AI workflows for data analysis and business intelligence. I enjoy bridging traditional ML with symbolic AI to enable robust decision‑making in real‑world environments. My work spans computer vision, model deployment with ONNX, and real‑time segmentation, with a track record of improving reconstruction accuracy and latency. I’m passionate about collaboration, rapid experimentation, and delivering enterprise‑grade software solutions.

Available to hire

Hi, I’m Rohit Hebbar, a Machine Learning Engineer based in Graz, Austria. I specialize in building AI-powered market intelligence platforms, developing scalable AI solutions with LLMs, Python, TypeScript, and FastAPI, and designing autonomous AI workflows for data analysis and business intelligence.

I enjoy bridging traditional ML with symbolic AI to enable robust decision‑making in real‑world environments. My work spans computer vision, model deployment with ONNX, and real‑time segmentation, with a track record of improving reconstruction accuracy and latency. I’m passionate about collaboration, rapid experimentation, and delivering enterprise‑grade software solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

German

Beginner

Work Experience

AI Engineer at Predictores.ai

May 1, 2025 - Present

Engineering an AI-powered market intelligence platform using Machine Learning and symbolic AI frameworks, targeting 90%+ accuracy to solve complex business challenges. Architecting scalable AI solutions using LLMs, Python, TypeScript and FastAPI to create enterprise-grade applications for data analysis and business intelligence. Implementing multi-agent systems and autonomous AI workflows that integrate traditional ML algorithms with modern symbolic AI approaches for enhanced decision-making.

Student Research Assistant - Computer Vision at Fraunhofer IPA

December 1, 2024 - October 12, 2025

Spearheaded the development for model-free pipeline for 3D shape reconstruction and 6D pose estimation for robotic bin-picking in industrial settings. Delivered 90%+ reconstruction accuracy and reduced pose error by 25% by developing a novel method (relative estimation), enabling precise object grasping in cluttered, real-world environments. Engineered an ONNX-based model conversion and involved in C++ runtime integration, facilitating seamless deployment in production pipelines. Integrated FastSAM to achieve real-time object segmentation with 40ms latency, signiﬁcantly enhancing system response for robotic decision-making.

Student Hiwi at University of Freiburg

January 31, 2024 - October 12, 2025

Led the complete migration of CRISPRmap scripts from Perl to Python, modernizing the legacy codebase and signiﬁcantly improving maintainability. Built a hybrid statistical + neural network model to classify AMPs as natural or synthetic using curated peptide databases. Achieved 82% precision using optimized LSTM and GRU models through nested cross-validation. Applied HMMER proﬁle alignments and deep sequence models to support therapeutic discovery and bioinformatics analysis.

Student Hiwi at Jedox

September 30, 2022 - October 12, 2025

Contributed to the development of a CTO-level performance dashboard by preparing clean, normalized datasets applying advanced data transformation workflows. Supported telemetry-driven reporting by automating the generation of dynamic, visual reports based on time-series telemetry data. Explored the integration of machine learning models for trend prediction, demonstrating practical applications of ML within business intelligence workﬂows.

AI Engineer at Predictores.ai

May 1, 2025 - Present

Engineering an AI-powered market intelligence platform using ML and symbolic AI frameworks; architecting scalable AI solutions with LLMs, Python, TypeScript and FastAPI; implementing multi-agent autonomous AI workflows that integrate traditional ML algorithms with modern symbolic AI approaches for enhanced decision‑making.

Student Research Assistant - Computer Vision at Fraunhofer IPA

December 1, 2024 - October 12, 2025

Led model-free pipeline development for 3D shape reconstruction and 6D pose estimation for robotic bin-picking; achieved 90%+ reconstruction accuracy and 25% pose error reduction; implemented ONNX model conversions and C++ runtime integration; integrated FastSAM for real-time segmentation with 40 ms latency.

Student Hiwi at University of Freiburg

January 31, 2024 - October 12, 2025

Migrated CRISPRmap scripts from Perl to Python; built a hybrid statistical + neural network model to classify AMPs; achieved 82% precision with optimized LSTM/GRU; applied HMMER alignments for therapeutic discovery and bioinformatics analysis.

Student Hiwi at Jedox

September 1, 2022 - October 12, 2025

Contributed to CTO-level performance dashboard development; prepared normalized datasets and automated time-series reports; explored ML model integration for BI workflows.