SP
Software Engineer · AI/ML · Data Engineering

Shreya Ponnamma

M.Sc. Computer Science student at the University of Freiburg with 4+ years of experience building backend systems, AI-driven data pipelines, and machine learning workflows across industry and research environments.

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About

I work across backend development, machine learning pipelines, deep learning systems, AI-driven data engineering, and large-scale text or image processing. My current work centers on biomedical search and translation systems, with an emphasis on reproducibility, maintainability, and practical deployment.

Experience

Working Student, AI, Backend & Data Engineering

University Hospital Freiburg · TalaMed Project

Sep 2025 - Present
  • Developed Python ETL pipelines for biomedical document processing and semantic search.
  • Built backend services using FastAPI, REST APIs, PostgreSQL, Elasticsearch, and Docker.
  • Designed ingestion workflows for large-scale text collections.
  • Improved reliability and maintainability through testing and debugging.

Working Student, Data Engineering & Machine Learning

Fraunhofer EMI

Jul 2025 - Present
  • Developed Python workflows for scientific data preprocessing and validation.
  • Automated extraction and transformation of heterogeneous research data.
  • Improved reproducibility and maintainability of analysis pipelines.

Research Assistant, Backend Systems and Data Engineering

Fraunhofer ISE

Dec 2023 - May 2025
  • Developed backend components and database-driven applications.
  • Worked with C#, .NET, and SQL Server.
  • Implemented data processing workflows and maintained software modules.
  • Refactored existing modules to improve maintainability and performance.

Software Engineer

Finflux (M2P)

Jul 2022 - Sep 2023
  • Developed backend services and REST APIs for financial applications.
  • Supported feature delivery in Agile teams and production debugging.
  • Received the Best Performer Award for Aadhaar-based e-KYC automation.

Software Engineer I

Aurigo Software Technologies

Aug 2021 - Jul 2022
  • Developed enterprise applications using C#, ASP.NET MVC, and SQL Server.
  • Implemented new features and enhanced existing modules.
  • Received the SPOT Award for automating SQL generation workflows.

Skills

Programming Languages

Python Java SQL C# JavaScript TypeScript

AI and Machine Learning

PyTorch Deep Learning Transformers LLMs Self-Supervised Learning Domain Adaptation

Backend and Data Engineering

FastAPI REST APIs PostgreSQL Elasticsearch ETL Pipelines

Tools and Platforms

Docker Git Linux

Education

M.Sc. Computer Science

University of Freiburg, Germany

Oct 2023 - Mar 2027 expected

Thesis: Transformer-based Biomedical Machine Translation with Domain Adaptation

  • Developing transformer-based models for German-English biomedical machine translation.
  • Investigating parameter-efficient fine-tuning methods including LoRA and adapters.
  • Evaluating domain adaptation strategies for heterogeneous clinical datasets.

B.E. Computer Science and Engineering

Vidyavardhaka College of Engineering, India

Aug 2017 - Aug 2021

Projects

Biomedical Search Engine ETL Framework

  • Built ETL pipelines for large-scale ingestion and processing of biomedical literature and clinical text collections.
  • Implemented structured extraction, normalization, and indexing workflows in Python.
  • Integrated PostgreSQL and Elasticsearch for scalable semantic search and information retrieval.
  • Containerized services with Docker for reproducibility and deployment.

Microglial Image Analysis Pipeline

  • Developed deep learning pipelines for more than 279,000 immunofluorescence microscopy images.
  • Implemented preprocessing, denoising, and feature extraction workflows using PyTorch and OpenCV.
  • Investigated self-supervised learning approaches for low signal-to-noise datasets.
  • Contributed results to interdisciplinary neuroscience research published in iScience.

Publications

Re-engineered TalaMed Medical Search Engine

Ponnamma S., et al. Clinical Data Integration and ETL Pipelines. ICIMTH 2026, accepted.

Spatiotemporal Analysis of Microglial Morphometrics Following Brain Microinjury

Jariwala V.D., Ponnamma S., et al. iScience.