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Abhishek Kanakagiri
Aschaffenburg, Germany

Experience

Mar 2025 - Sep 2025
7 months

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  • Built a decentralized app using Next.js and Convex DB for secure offline Solana transaction signing.
Jul 2022 - Present
3 years 7 months

Senior Engineer - Lead Developer Data Analytics

Magna Electronics

  • Built and maintained large-scale data pipelines using Python, PySpark, and AWS services (S3, Athena, EC2, SQS) for sensor data analysis from Camera, LiDAR, and GPS modules.
  • Maintained and extended the backend of KPI tooling systems using Node.js and MongoDB to support validation workflows and visualization.
  • Designed relational SQL schemas for structured storage of perception test data and KPI results.
  • Automated test execution, report generation, and feature validation, reducing manual overhead by 50%.
  • Created interactive dashboards using AWS Quicksight and Plotly to support data-driven decisions for ADAS validation teams.
  • Implemented and retrained the YOLOv7 deep learning model to detect custom object types for test automation and KPI generation in vision-based ADAS functions.
  • Led a team of 4–5 developers, reviewed code, and coordinated task planning with OEM partners and internal teams.
  • KPI Tooling: Designed modular backend APIs in Node.js and MongoDB; enabled dashboard visualizations and AWS-based data processing.
  • Audi – Multi-Functional Front Camera: KPI design for object detection, pedestrian/lane/traffic sign recognition; root cause analysis; outlier identification.
  • VW – Trained Park Assist: KPI generation and ground truth derivation using DGPS/IPS data in complex parking scenarios.
  • BMW – LiDAR Validation: Point cloud analysis for false-positive/negative detection; safety-related scenario analysis.
Aug 2021 - Jun 2022
11 months
Alzenau, Germany

Consulting Core Test Developer

Ferchau GmbH

  • Developed test infrastructure and automated validation workflows using Python and AWS for ADAS features.
  • Integrated cloud-based tools for performance testing and reporting.
  • Coordinated with various function owners for KPI-related activities.
  • Worked closely with customer teams to design and implement data processing pipelines across multiple projects.
  • Automated system test activities and report generation using transcoded Ethernet data.
Oct 2020 - Jun 2021
9 months
Ingolstadt, Germany

Student Research Assistant & Master Thesis

Carissma Forschungszentrum

  • Built and configured a prototype autonomous vehicle platform for ADAS testing using Camera and LiDAR sensors.
  • Created a virtual testbed by building 3D digital twins and HD maps of Ingolstadt using MATLAB Roadrunner.
  • Integrated with ROS and simulated traffic scenarios for perception validation.
Oct 2019 - Jan 2020
4 months

Comparison of Machine Learning Algorithms for Cyclist Detection

  • Determined the feasibility of use of computer vision algorithms in an autonomous vehicle for increasing passenger safety at level 5 of autonomous driving.
  • Used deep neural networks such as CNN to detect cyclists.
  • Used HOG technique to extract image features and SVM classification algorithm to detect cyclists.
Jul 2016 - Mar 2019
2 years 9 months
Bengaluru, India

Manufacturing Engineer II

Lam Research India Pvt. Ltd

  • Designed and analyzed structural fixtures and collaborated with cross-functional global teams.
  • Implemented process improvements to meet manufacturing and structural integrity requirements.

Summary

Data Analytics Engineer with 5+ years of experience in developing scalable data pipelines, automating test workflows, and analyzing multi-sensor datasets in the automotive sector. Strong expertise in Python, PySpark, and AWS-based validation environments. Proven track record of driving performance improvements through KPI analytics, sensor validation, and cloud automation. Effective team leader with hands-on experience in ADAS feature validation and test infrastructure.

Skills

  • Cloud Platforms & Big Data: Extensive Daily Use Of Aws For Test Execution, Automation, And Cloud Computing (Ec2, S3, Athena, Sqs, Emr, Lambda, Boto3)
  • Programming & Backend: Python (Pandas, Numpy, Plotly), Selenium, Node.js, Next.js, React.js, Typescript, Git, Docker, Rest Apis, Json-based Integrations, Webhooks
  • Validation & Etl: Kpi Development, Etl Pipelines, Camera/lidar/gps Data Analysis
  • Software & Project Tools: Jira, Confluence, Codebeamer, Microsoft Office
  • Ml And Ai Agents: Yolov7 Model Retraining For Object Detection, Opencv, Hugging Face, Llm Tools Like Chatgpt, Cursor, Copilot
  • Databases: Sql (Schema Design), Mongodb, Convex Database
  • Sensor Systems: Camera, Lidar, Gps, Dgps, Indoor Positioning

Languages

English
Advanced
German
Intermediate

Education

Mar 2019 - Aug 2021

Technische Hochschule Ingolstadt

International Automotive Engineering · International Automotive Engineering · Ingolstadt, Germany · 1.7

Sep 2012 - Jun 2016

M S Ramaiah Instiute of Technology

Mechanical Engineering · Mechanical Engineering · Bengaluru, India · 1.5

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