Abhishek K.

Backend Engineer

Stuttgart, Baden-Württemberg, Germany5 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

5+ years of experience in backend engineering and AI.
Expert in building scalable, event-driven systems.
Proven track record in optimizing cloud infrastructure.

Stackforce AI infers this person is a Backend Engineer with expertise in AI and cloud infrastructure, suitable for SaaS and healthcare industries.

Contact

abhishekvirat0@gmail.com LinkedIn

Skills

Core Skills

Machine LearningCloud InfrastructureDevopsDatabase ManagementBackend DevelopmentFull Stack DevelopmentWeb Development

Other Skills

AWS LambdaAlgorithmsAmazon ECSAmazon Elasticsearch ServiceAmazon Web Services (AWS)AndroidApache KafkaAsyncAzure AutoMLBashC++CI/CDCMakeCascading Style Sheets (CSS)Code Review

About

Backend Engineer with 5+ years of experience building and operating scalable, event-driven systems in production. I’ve worked extensively on microservices, high-throughput APIs, Kafka-based architectures, and message queues, supporting systems used by thousands of users. I’ve designed and deployed backend services across AWS (Fargate), GCP, and Azure, with a strong focus on reliability and observability. Alongside backend engineering, I have hands-on experience applying AI/ML in real products, training models using Azure AutoML, selecting optimal algorithms, and deploying models as REST APIs for production use. I’ve also handled critical infrastructure tasks, including building data recovery pipelines using Azure Vault backups to restore database data spanning 35+ days, and contributing to CI/CD and DevOps workflows (academic thesis in DevOps). Previously contributed to products such as Hubilo’s Snackable Content Hub, working across backend services, cloud infrastructure, and event streaming. Currently, I am employed full-time as a Backend & AI Engineer in Germany and am open to backend-focused roles that leverage applied AI, system design, and scalability to deliver real-world impact. Tech Stack: Node.js, Python, C#, Kafka, REST APIs, AWS, GCP, Azure, Microservices, ML APIs Languages: English (fluent), German (B1) Work Authorization: Germany / EU

Experience

5 yrs

Total Experience

1 yr 5 mos

Average Tenure

7 mos

Current Experience

Grunenberg & comp. gmbh

Senior Backend & AI Developer

Nov 2025 – Present · 7 mos · Stuttgart, Baden-Württemberg, Germany · Remote

Worked with structured and semi-structured datasets (transactional and accounting data), ensuring data consistency, accuracy, and reproducibility for machine-learning workflows.
Designed and implemented Azure AutoML training pipelines, including automated retraining and failure-recovery workflows for production models.
Integrated ML models into backend systems and exposed inference via RESTful APIs for product use.
Built and deployed end-to-end AI model lifecycle pipelines, covering training, deployment, monitoring, retraining, and fault recovery.
Designed and implemented new AI-driven product features by building scalable backend services and APIs.
Implemented automated data backup and recovery solutions in Microsoft Azure, retaining data for 35+ days using Azure Recovery Services Vaults.
Optimized cloud backup and storage configurations, reducing operational costs while maintaining system reliability and compliance.

Azure AutoMLRESTful APIsMachine LearningData BackupCloud Infrastructure

Actimi

Werkstudent Backend Developer

Jul 2025 – Oct 2025 · 3 mos · Stuttgart, Baden-Württemberg, Germany · On-site

Hochschule für technik stuttgart

2 roles

Research Assistant

May 2025 – Oct 2025 · 5 mos · Stuttgart, Baden-Württemberg, Germany · On-site

Student Assistant

Aug 2024 – Feb 2025 · 6 mos · Stuttgart, Baden-Württemberg, Germany · On-site

Developed automation scripts for efficient data insertion from CSV files into PostgreSQL.
Designed and implemented table joins to ensure data integrity and relational consistency.
Optimized database operations for faster and more reliable data processing.
Worked with PostgreSQL, SQL queries, and scripting languages (Python/Bash) to streamline workflows.

PythonPostgreSQLSQLMachine LearningDatabase Management

Bosch

Werkstudent Backend and DevOps Engineer

Sep 2024 – Apr 2025 · 7 mos · Stuttgart, Baden-Württemberg, Germany · On-site

Managed build environments using CMake, Docker (Linux), and Jenkins to streamline development workflows.
Automated processes with CMake scripts, reducing manual intervention and improving build efficiency.
Collaborated with cross-functional teams to optimize CI/CD pipelines for robust software delivery.
Enhanced system reliability by implementing Docker-based containerized solutions for consistent build environments.
Provided troubleshooting and support for build environment issues, ensuring minimal downtime.
Developed ML-based monitoring tools to analyze build logs and predict potential failures, proactively reducing downtime and improving pipeline performance.

CMakeDockerJenkinsCI/CDDevOps

Hubilo

2 roles

SDE II

Dec 2022 – Jun 2024 · 1 yr 6 mos · Remote

Led backend development for AI-powered content and video platforms used in large-scale virtual events.
Integrated LLMs and generative AI for automated creation of snackable video content.
Built recovery pipelines that significantly improved video-generation success rates.
Developed cost-optimization pipelines, saving ~$12.5K/month in cloud resources.
Engineered multi-mode streaming latency pipelines, reducing latency from ~20s to 4–7s across regions.
Built centralized alerting systems, reducing downtime by 15%.

MongoDBApache KafkaLarge Language Models (LLM)Generative AIBackend Development

SDE I

Sep 2021 – Dec 2022 · 1 yr 3 mos · Remote

Built real-time features (Raise Hand, Watch Party) using Kafka, Redis, WebSockets, achieving sub-100ms latency.
Designed systems supporting 50K+ concurrent users with Redis + Lua scripting.
Improved engagement metrics by ~40% through interactive event features.

Apache KafkaMySQLRedisWebSocketBackend Development

St johns research institute

Full Stack Engineer

Jan 2021 – Sep 2021 · 8 mos · Bangalore Urban, Karnataka, India · On-site

Secured $200,000 in funding from the Bill and Melinda Gates Foundation to lead a project on analyzing the impact of improved household income on child under nutrition in India.
Designed and developed a user‐friendly mobile as well as webapps for food recommendations that provided population‐wide dietary advice.
Liaised with nutritionists, statisticians, and managers to optimize nutrients with large datasets,resulting in optimal dietary recommendations that meet nutrient requirements at minimal cost, with a 90% accuracy rate for nutrient requirements.
Led a team of 7 members in developing a recipe master that calculates the overall nutrition of both raw and cooked meals.
Completed four major projects, which are used by World Health Organization (WHO) and Karnataka government.

JavaScriptDjangoFirebaseFull Stack Development

Codejudge inc.

Full Stack Engineer

Jan 2020 – Jan 2021 · 1 yr · Delhi, India

Built microservices, created their docker image, tested them using Pyresttest, and deploying over AWS.
Primarily used Django for creating microservices and react.js for frontend development.
Created libraries for the smooth transition of the graph in react.js
Reduced API documentation production time by streamlining the process using Swagger.

DjangoNode.jsFull Stack Development