Surya (Vara Prasad) Alla
AI Software Engineer
Experience
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.
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.
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.
Industries Experience
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Experienced in Information Technology (5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Information Technology (5 years), Product Development (3.5 years), Research and Development (3.5 years), and Business Intelligence (1.5 years).
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
Education
University of Siegen
M.Sc. Mechatronics, Specialization: Computer Vision, Deep Learning, C++ · Mechatronics · Siegen, Germany
Osmania University
B.E. Mechanical Engineering · Mechanical Engineering · Hyderabad, India
Profile
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