Recommended expert

Surya (Vara prasad) Alla

AI Software Engineer

Surya Alla
Siegen, Germany

Experience

Jan 2024 - Present
2 years 1 month
Hamm, Germany

AI Software Engineer

Fraunhofer FIT

  • Developed LLM-based automation utilities including structured reasoning pipelines, LLM-as-a-Judge evaluation tools, and multi-model comparison frameworks.
  • Built RAG pipelines for internal research workflows using LangChain, ChromaDB, and FastAPI, enabling semantic retrieval and multi-step reasoning.
  • Integrated LLM microservices into existing ML systems using Docker, FastAPI, and GitLab CI/CD with reproducible deployment workflows.
  • Designed inference APIs combining vision models and LLM reasoning for multimodal analytics and decision-making.
  • Optimized embedding-based retrieval using vector store pruning, improved chunking logic, and dynamic retriever selection.
  • Performed prompt engineering and system instruction tuning for consistency, robustness, and reasoning quality.
  • Built benchmarking suites to evaluate LLM latency, reasoning quality, retrieval accuracy, and robustness under different prompt templates.
Jul 2022 - Dec 2023
1 year 6 months
Siegen, Germany

Machine Learning Engineer & Technical Co-Founder

InnoSaddle GbR

  • Developed ML-driven geometry extraction and analysis workflows, integrating preprocessing, measurement logic, and prototype inference services.
  • Collaborated with technical and non-technical partners to translate ML insights into product features and user-facing tools.
  • Built reproducible experimentation pipelines and provided explainability reports for ML outputs.
Feb 2018 - Aug 2019
1 year 7 months
Hyderabad, India

Software Engineer (Data)

Wipro Technologies

  • Developed structured ETL workflows supporting downstream AI/analytics use-cases across Azure Data Lake, Databricks, and SQL systems.
  • Optimized data pipelines and improved monitoring reliability for production ingestion systems.

Summary

GenAI Engineer with experience in designing LLM-based systems, RAG pipelines, multimodal AI workflows, and scalable inference services. Skilled in embeddings, vector databases, LLM orchestration, prompt engineering, API design, and optimizing model execution on GPU/edge devices. Blend of software engineering, ML engineering, and MLOps enables end-to-end ownership of GenAI products from prototype to production.

Skills

  • Languages: Python, C++, Bash
  • Llm Tooling: Langchain, Langgraph, Openai/anthropic Apis, Vllm, Huggingface, Transformers
  • Rag: Embeddings (Openai, Mpnet), Chromadb, Faiss, Vector Stores, Retrievers, Chunking
  • Genai: Prompt Engineering, Llm Evaluation, Multimodal Models, Tool-calling, Text+vision Pipelines
  • Mlops: Dvc, Mlflow, Gitlab Ci/cd, Docker, Kubernetes (Familiar)
  • Deployment: Fastapi Microservices, Onnx Runtime, Tensorrt, Gpu/jetson Systems
  • Cloud: Aws (S3, Ec2, Ecr), Container Deployment
  • Other: Numpy, Opencv, Open3d, Scipy, Linux

Languages

German
Advanced
English
Advanced

Education

Oct 2019 - Sep 2023

University of Siegen

M.Sc. Mechatronics, Specialization: Computer Vision, Deep Learning, C++ · Mechatronics · Siegen, Germany

Sep 2013 - Mar 2017

Osmania University

B.E. Mechanical Engineering · Mechanical Engineering · Hyderabad, India

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