Abhishek Kanakagiri - Solana Offline Transaction Webapp

Q: Where is Abhishek based?

Abhishek is based in Aschaffenburg, Germany .

Q: What languages does Abhishek speak?

Abhishek speaks the following languages: English (Advanced), German (Intermediate) .

Q: How many years of experience does Abhishek have?

Abhishek has at least 8 years of experience. During this time, Abhishek has worked in at least 6 different roles and for 4 different companies . The average length of individual experience is 1 year and 4 months . Note that Abhishek may not have shared all experience and actually has more experience.

Q: What is Abhishek's latest experience?

Abhishek's most recent position is Solana Offline Transaction Webapp .

Q: What companies has Abhishek worked for in recent years?

In recent years, Abhishek has worked for Magna Electronics , Ferchau GmbH , and Carissma Forschungszentrum .

Q: Which industries is Abhishek most experienced in?

Abhishek is most experienced in industries like Automotive , Manufacturing , and Information Technology .

Q: Which business areas is Abhishek most experienced in?

Abhishek is most experienced in business areas like Product Development , Information Technology , and Business Intelligence . Abhishek also has some experience in Quality Assurance , Production , and Research and Development .

Q: Which industries has Abhishek worked in recently?

Abhishek has recently worked in industries like Automotive and Information Technology .

Q: Which business areas has Abhishek worked in recently?

Abhishek has recently worked in business areas like Information Technology , Product Development , and Business Intelligence .

Recommended expert

Aschaffenburg, Germany

Experience

Mar 2025 - Sep 2025

7 months

Solana Offline Transaction Webapp

Built a decentralized app using Next.js and Convex DB for secure offline Solana transaction signing.

Jul 2022 - Present

3 years 9 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.

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Automotive, Manufacturing, and Information Technology.

Automotive

Manufacturing

Information Technology

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Product Development, Information Technology, Business Intelligence, Quality Assurance, Production, and Research and Development.

Product Development

Information Technology

Business Intelligence

Quality Assurance

Production

Research and Development

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

Statistics

Experience

Total positions 6

Experience in Automotive 5.5 y

Avg length 1 y 5 m

Longest experience 3 y 8 m

Global Experience

Countries worked in 2 (Germany, India)

Primary country Germany

Expertise

Recent roles Solana Offline Transaction Webapp, Senior Engineer - Lead Developer Data Analytics, Consulting Core Test Developer

Main industries Automotive, Manufacturing, Information Technology

Main business areas Product Development, Information Technology, Business Intelligence

Qualifications

Highest degree Master

Profile

Created

December 2025

Need a freelancer? Find your match in seconds.

Try FRATCH GPT

Frequently asked questions

Do you have questions? Here you can find further information.

Where is Abhishek based?

Abhishek is based in Aschaffenburg, Germany.

What languages does Abhishek speak?

Abhishek speaks the following languages: English (Advanced), German (Intermediate).

How many years of experience does Abhishek have?

Abhishek has at least 8 years of experience. During this time, Abhishek has worked in at least 6 different roles and for 4 different companies. The average length of individual experience is 1 year and 4 months. Note that Abhishek may not have shared all experience and actually has more experience.

What roles would Abhishek be best suited for?

Based on recent experience, Abhishek would be well-suited for roles such as: Solana Offline Transaction Webapp, Senior Engineer - Lead Developer Data Analytics, Consulting Core Test Developer.

What is Abhishek's latest experience?

Abhishek's most recent position is Solana Offline Transaction Webapp.

What companies has Abhishek worked for in recent years?

In recent years, Abhishek has worked for Magna Electronics, Ferchau GmbH, and Carissma Forschungszentrum.

Which industries is Abhishek most experienced in?

Abhishek is most experienced in industries like Automotive, Manufacturing, and Information Technology.

Which business areas is Abhishek most experienced in?

Abhishek is most experienced in business areas like Product Development, Information Technology, and Business Intelligence. Abhishek also has some experience in Quality Assurance, Production, and Research and Development.

Which industries has Abhishek worked in recently?

Abhishek has recently worked in industries like Automotive and Information Technology.

Which business areas has Abhishek worked in recently?

Abhishek has recently worked in business areas like Information Technology, Product Development, and Business Intelligence.

What is Abhishek's education?

Abhishek holds a Master in International Automotive Engineering from Technische Hochschule Ingolstadt and a Bachelor in Mechanical Engineering from M S Ramaiah Instiute of Technology.

What is the availability of Abhishek?

Abhishek is immediately available full-time for suitable projects.

What is the rate of Abhishek?

Abhishek's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.