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I’m a Machine Learning Engineer with 4+ years of experience building and deploying production-ready machine learning and Generative AI solutions for enterprise applications. My work includes LLM development and integration, RAG systems with embeddings and vector search, ML pipelines, and rigorous model evaluation to ensure retrieval quality, response relevance, and groundedness. I also enjoy turning models into reliable services—developing REST APIs and AI workflows using FastAPI, LangChain, Docker, and Kubernetes, with strong CI/CD practices and monitoring. Across platforms and application teams, I’ve contributed to scalable AI platform initiatives, operationalized evaluation/experiment workflows, and supported smooth deployments in fast-moving engineering environments.…I’m a Machine Learning Engineer with 4+ years of experience building and deploying production-ready machine learning and Generative AI solutions for enterprise applications. My work includes LLM development and integration, RAG systems with embeddings and vector search, ML pipelines, and rigorous model evaluation to ensure retrieval quality, response relevance, and groundedness. I also enjoy turning models into reliable services—developing REST APIs and AI workflows using FastAPI, LangChain, Docker, and Kubernetes, with strong CI/CD practices and monitoring. Across platforms and application teams, I’ve contributed to scalable AI platform initiatives, operationalized evaluation/experiment workflows, and supported smooth deployments in fast-moving engineering environments.

Sivaji Alla

AI Engineer, Software Engineer, Data Scientist, +7

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I’m a Machine Learning Engineer with 4+ years of experience building and deploying production-ready machine learning and Generative AI solutions for enterprise applications. My work includes LLM development and integration, RAG systems with embeddings and vector search, ML pipelines, and rigorous model evaluation to ensure retrieval quality, response relevance, and groundedness. I also enjoy turning models into reliable services—developing REST APIs and AI workflows using FastAPI, LangChain, Docker, and Kubernetes, with strong CI/CD practices and monitoring. Across platforms and application teams, I’ve contributed to scalable AI platform initiatives, operationalized evaluation/experiment workflows, and supported smooth deployments in fast-moving engineering environments.…I’m a Machine Learning Engineer with 4+ years of experience building and deploying production-ready machine learning and Generative AI solutions for enterprise applications. My work includes LLM development and integration, RAG systems with embeddings and vector search, ML pipelines, and rigorous model evaluation to ensure retrieval quality, response relevance, and groundedness. I also enjoy turning models into reliable services—developing REST APIs and AI workflows using FastAPI, LangChain, Docker, and Kubernetes, with strong CI/CD practices and monitoring. Across platforms and application teams, I’ve contributed to scalable AI platform initiatives, operationalized evaluation/experiment workflows, and supported smooth deployments in fast-moving engineering environments.

Available to hire

I’m a Machine Learning Engineer with 4+ years of experience building and deploying production-ready machine learning and Generative AI solutions for enterprise applications. My work includes LLM development and integration, RAG systems with embeddings and vector search, ML pipelines, and rigorous model evaluation to ensure retrieval quality, response relevance, and groundedness.

I also enjoy turning models into reliable services—developing REST APIs and AI workflows using FastAPI, LangChain, Docker, and Kubernetes, with strong CI/CD practices and monitoring. Across platforms and application teams, I’ve contributed to scalable AI platform initiatives, operationalized evaluation/experiment workflows, and supported smooth deployments in fast-moving engineering environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Language

Javanese

Advanced

Work Experience

Machine Learning Engineer (Platform) at Scale AI

August 1, 2026 - Present

Contributed to ML platform development for LLM workflows by building Python services and data pipelines for model development, evaluation, and AI application workflows. Developed dataset preparation, validation, experiment tracking, and model-output analysis workflows to enable repeatable evaluation across AI development cycles. Built retrieval components for RAG workflows using embeddings and vector search, evaluating retrieval precision and response groundedness across 1,000+ evaluation queries. Maintained platform components via Git-based development, automated testing, code reviews, and CI/CD workflows, and collaborated with stakeholders on multiple AI platform initiatives to support production readiness.

Machine Learning Engineer at Scale AI, USA (Remote)

August 1, 2026 - Present

Contributed to the ML platform supporting LLM workflows by building Python-based services and data pipelines for model development, evaluation, and AI application workflows. Developed dataset preparation/validation and evaluation workflows with experiment tracking and output analysis. Built RAG retrieval components using embeddings, vector search, and LLM integration, evaluating retrieval precision, response relevance, and groundedness across 1,000+ evaluation queries. Maintained platform components with Git-based development, automated testing, code reviews, and CI/CD workflows, collaborating on multiple AI platform initiatives.

Machine Learning Engineer, Platform Aug 2026 – Current at Scale AI

August 1, 2026 - Present

Contribute to ML platform development supporting LLM workflows by building Python services and data pipelines for model development, evaluation, and AI application workflows. Developed repeatable dataset preparation and evaluation workflows (validation, experiment tracking, output analysis). Built RAG retrieval components using embeddings and vector search integrated with LLMs, evaluating retrieval precision, response relevance, and groundedness across 1,000+ evaluation queries. Developed and maintained platform components using Git, automated testing, code reviews, and CI/CD workflows while collaborating on 5+ AI platform initiatives.

Machine Learning Engineer at Scale AI

August 1, 2026 - Present

Contribute to ML platform development for LLM workflows by building Python-based services and data pipelines for model development, evaluation, and AI application workflows. Develop evaluation workflows for repeatable dataset preparation, validation, experiment tracking, and analysis. Build RAG retrieval components using embeddings and vector search, evaluating retrieval precision, response relevance, and groundedness across 1,000+ evaluation queries. Maintain platform components via Git-based development, automated testing, code reviews, and CI/CD, and collaborate on multiple AI platform initiatives supporting feature development, deployment, and production readiness.

Machine Learning Engineer at HCL Tech, OH, USA

November 1, 2025 - August 1, 2026

Developed an enterprise Generative AI knowledge-assistance solution for natural-language retrieval across 5,000+ internal documents and client knowledge workflows. Built ML pipelines using Python, PyTorch, Pandas, and scikit-learn for data preparation, feature processing, experimentation, and model evaluation over 10K+ structured and unstructured records. Implemented a RAG question-answering pipeline with embeddings, vector search, prompt engineering, and LLM integration, evaluating retrieval precision, response relevance, and groundedness. Developed reusable AI services and REST APIs with LangChain and FastAPI, and operationalized workflows through evaluation, versioning, CI/CD, containerized deployments, and monitoring across multiple deployment and validation cycles.

Machine Learning Engineer at HCL Tech

November 1, 2025 - August 1, 2026

Built an enterprise generative AI knowledge-assistance solution enabling natural-language retrieval across 5,000+ internal documents and client knowledge workflows. Implemented ML pipelines for data preparation, feature processing, experimentation, and model evaluation over 10K+ structured and unstructured records. Developed a RAG-based question-answering pipeline with embeddings, vector search, prompt engineering, and LLM integration, evaluating retrieval precision, response relevance, and groundedness. Created reusable AI services and REST APIs using LangChain and FastAPI, and operationalized ML/GenAI workflows using model evaluation, versioning, CI/CD, Docker deployments, and application monitoring across multiple deployment/validation cycles.

Software Engineer (Financial Services) at FIS

February 1, 2025 - July 31, 2025

Delivered software components for financial-services applications using Java, Python, SQL, and REST APIs. Developed Python-based data-processing and ML components for dataset preparation and model-output evaluation, integrating ML results into application workflows. Debugged defects, created test cases, and validated ML-driven functionality while supporting Agile development, Git-based collaboration, and code reviews.

Software Engineer at FIS, OH, USA

February 1, 2025 - July 1, 2025

Developed software engineering components for financial-services applications using Java, Python, SQL, and REST APIs. Built Python-based data-processing and ML components for dataset preparation and model-output evaluation, integrating ML results into application workflows. Debugged defects, developed test cases, validated ML-driven functionality, and worked in Agile with Git-based development and code reviews.

Software Engineer Intern at FIS

February 1, 2025 - July 31, 2025

Developed software components for financial-services applications using Java, Python, SQL, and REST APIs. Implemented Python-based data processing and ML components for dataset preparation, model-output evaluation, and integration of ML results into application workflows. Debugged defects, wrote test cases, and validated ML-driven functionality while working in Agile teams, using Git-based development and code reviews.

Software Engineer at FIS

February 1, 2025 - July 1, 2025

Developed software engineering components for financial-services applications using Java, Python, SQL, and REST APIs. Built Python-based data-processing and ML components for dataset preparation, model-output evaluation, and integration of ML results into application workflows. Debugged defects, created test cases, validated ML-driven functionality, and supported Agile delivery with Git-based development and code reviews.

Associate Machine Learning Engineer at SAP, India

July 1, 2021 - July 1, 2023

Engineered enterprise AI capabilities within the CX C4C Ext/Flex team supporting Machine Learning and Generative AI use cases for SAP Sales and Service Cloud. Developed LLM-powered features using Python, Java, and Spring Boot, integrating AI capabilities with existing application architectures. Implemented multi-step LLM workflows with orchestration and tool-based interactions to automate enterprise tasks. Modernized AI capabilities across 5+ use cases from V1 to V2, resolving compatibility issues and supporting validation for customer-facing deployments. Integrated AI services within enterprise microservice architectures and supported CI/CD, release validation, deployment troubleshooting, and environment readiness, including production monitoring and issue resolution across multiple release cycles.

Associate Machine Learning Engineer at SAP

July 1, 2021 - July 1, 2023

Engineered enterprise AI capabilities within the CX C4C Ext/Flex team for SAP Sales and Service Cloud. Developed LLM-powered features using Python/Java/Spring Boot and integrated AI into existing application architectures. Implemented multi-step LLM workflows with orchestration and tool-based interactions to automate tasks and extend intelligent application functionality. Modernized AI capabilities across multiple use cases and integrated AI services into enterprise microservices, supporting CI/CD, release validation, deployment troubleshooting, and environment readiness. Supported production reliability across many releases by monitoring workloads and resolving issues through collaboration with QA and engineering teams.

Data Science Intern at SAP, India

January 1, 2021 - June 1, 2021

Supported data science initiatives within the CX C4C Machine Learning team, including enterprise ML development, experimentation, and application integration. Built a hybrid-search proof of concept using Java, Spring Boot, and MongoDB for information retrieval and ML integration. Developed and deployed a Python/Flask REST API on SAP BTP for training-data uploads and ML data workflows. Explored NLP and Generative AI via prompt engineering and LLM evaluation in the SAP Generative AI Hub and contributed to an Agile hackathon project involving LSTM forecasting and RAG.

Data Science Intern at SAP

January 1, 2021 - June 1, 2021

Supported data science initiatives for enterprise ML development and experimentation within the CX C4C Machine Learning team. Built a hybrid-search proof of concept using Java, Spring Boot, and MongoDB for enterprise retrieval and ML integration. Developed and deployed a Python/Flask REST API on SAP BTP to support training-data uploads and ML data workflows. Explored NLP and generative AI concepts via prompt engineering and LLM evaluation and contributed to an Agile project involving LSTM forecasting and RAG.