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I am Bhavana Srinivas Gowda, a data engineer and AI engineer based in Erlangen, Germany, with 3+ years of experience developing and deploying AI systems across the full lifecycle. I specialize in LLMs, NLP, and RAG-based solutions, and I enjoy turning complex data into practical production-ready tools. I have hands-on experience building production-grade AI platforms using Python, PyTorch, FastAPI, Docker, and Kubernetes, migrating enterprise voice infrastructure from AirCall to Twilio, and designing data ingestion pipelines, model optimization, and cross-functional collaboration on customer-facing projects.…I am Bhavana Srinivas Gowda, a data engineer and AI engineer based in Erlangen, Germany, with 3+ years of experience developing and deploying AI systems across the full lifecycle. I specialize in LLMs, NLP, and RAG-based solutions, and I enjoy turning complex data into practical production-ready tools. I have hands-on experience building production-grade AI platforms using Python, PyTorch, FastAPI, Docker, and Kubernetes, migrating enterprise voice infrastructure from AirCall to Twilio, and designing data ingestion pipelines, model optimization, and cross-functional collaboration on customer-facing projects.

Bhavana Srinivas Gowda

AI Engineer, Data Scientist, AI Developer, +3

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I am Bhavana Srinivas Gowda, a data engineer and AI engineer based in Erlangen, Germany, with 3+ years of experience developing and deploying AI systems across the full lifecycle. I specialize in LLMs, NLP, and RAG-based solutions, and I enjoy turning complex data into practical production-ready tools. I have hands-on experience building production-grade AI platforms using Python, PyTorch, FastAPI, Docker, and Kubernetes, migrating enterprise voice infrastructure from AirCall to Twilio, and designing data ingestion pipelines, model optimization, and cross-functional collaboration on customer-facing projects.…I am Bhavana Srinivas Gowda, a data engineer and AI engineer based in Erlangen, Germany, with 3+ years of experience developing and deploying AI systems across the full lifecycle. I specialize in LLMs, NLP, and RAG-based solutions, and I enjoy turning complex data into practical production-ready tools. I have hands-on experience building production-grade AI platforms using Python, PyTorch, FastAPI, Docker, and Kubernetes, migrating enterprise voice infrastructure from AirCall to Twilio, and designing data ingestion pipelines, model optimization, and cross-functional collaboration on customer-facing projects.

Available to hire

I am Bhavana Srinivas Gowda, a data engineer and AI engineer based in Erlangen, Germany, with 3+ years of experience developing and deploying AI systems across the full lifecycle. I specialize in LLMs, NLP, and RAG-based solutions, and I enjoy turning complex data into practical production-ready tools.

I have hands-on experience building production-grade AI platforms using Python, PyTorch, FastAPI, Docker, and Kubernetes, migrating enterprise voice infrastructure from AirCall to Twilio, and designing data ingestion pipelines, model optimization, and cross-functional collaboration on customer-facing projects.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Advanced

German

Fluent

Work Experience

Voice System Migration & AI Engineer

September 1, 2025 - October 25, 2025

Migrated voice system from Aircall to Twilio; built Azure-based voice assistant using OpenAI and FastAPI for real-time, scalable call handling across 100+ FAQs.

AI/ML Engineer - Azure-based Voice Assistant

January 1, 2025 - October 25, 2025

Developed Azure-based voice assistant using OpenAI and FastAPI for real-time, scalable call handling across 100+ FAQs; built modular data pipelines and monitoring dashboards.

ML Engineer - Image Processing & ETL

July 1, 2024 - October 25, 2025

Built PySpark and Airflow ETL pipelines processing 20M+ daily records for personalized content delivery; developed anomaly detection models and delivered near real-time insights dashboards.

Data Engineer (Working Student)

July 20, 2024 - October 25, 2025

Built PySpark and Airflow ETL pipelines processing 20M+ daily records for personalized content delivery. Developed anomaly detection models reducing ingestion error rates and delivered Redshift dashboards for near real-time insights.

Generative AI Developer

January 20, 2025 - October 25, 2025

Developed Retrieval-Augmented Generation (RAG) systems integrated with real-time university databases, improving chatbot response accuracy. Built genetic workflows for automated information retrieval and decision-making, optimizing real-time university analytics.

Generative AI / Voice Systems Engineer

September 20, 2025 - October 25, 2025

Migrated voice system from AirCall to Twilio, reducing latency by 35%. Built an Azure-based voice assistant using OpenAI and FastAPI for real-time, scalable call handling across 100+ FAQs.

Working Student Software Developer at Ambia

October 1, 2025 - October 1, 2025

Migrated voice infrastructure from Aircall to Twilio, reducing latency by 35% and improving assistant response time. Built a voice assistant on Azure using OpenAI and Twilio, handling 100+ FAQ categories in real-time.

Master Thesis: Generative AI Developer at EU Master4 HPC

August 1, 2025 - November 27, 2025

Developed systems integrated with real-time university-related databases, improving chatbot response accuracy. Built agent workflows for automated information retrieval and decision making, optimizing real-time university analytics. Designed and implemented a conversational chatbot using retrieval-based techniques to enhance context-aware responses.

Data Engineer at Tradebyte

August 1, 2024 - August 1, 2024

Developed ETL pipelines in PySpark and Airflow to process 20M+ daily records for personalized content delivery. Created anomaly detection models reducing ingestion errors by 40%. Collaborated with product teams to deliver Redshift dashboards enabling near real-time decision making.

Machine Learning and AI Intern at Tradebyte

October 1, 2023 - October 1, 2023

Developed multiple ML models for image processing and predictive analytics, using CNNs, Random Forests, and SVMs to drive business insights. Designed and optimized ML pipelines, implementing feature engineering, hyperparameter tuning, and model evaluation techniques to enhance accuracy and performance.

Software Engineer (Working Student)

February 1, 2025 - November 1, 2025

Designed and deployed a production-grade AI voice assistant using Azure OpenAI, FastAPI, and Twilio, supporting 100+ real-time FAQ categories.

Data Ingestion & ML Inference Engineer

August 1, 2024 - January 1, 2025

Integrated backend services for model orchestration and API management; migrated enterprise voice infrastructure from AirCall to Twilio, reducing latency by 35%; implemented containerized deployments using Docker and CI/CD pipelines.

Data Engineer

August 1, 2023 - August 1, 2024

Supported data warehouse solutions and analytics dashboards using AWS Redshift. Improved data quality, monitoring, and pipeline reliability for production systems.