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Machine Learning Engineer with 3+ years of experience building and deploying end-to-end AI/ML solutions from experimentation to production. Experienced in LLM-powered tools, NLP applications, and scalable ML systems that support business operations and client delivery. Skilled in rapid prototyping, model validation, API integration, and collaborating with product, engineering, and operational teams to deliver reliable production AI solutions, including RAG pipelines, semantic search, and model monitoring/logging.…Machine Learning Engineer with 3+ years of experience building and deploying end-to-end AI/ML solutions from experimentation to production. Experienced in LLM-powered tools, NLP applications, and scalable ML systems that support business operations and client delivery. Skilled in rapid prototyping, model validation, API integration, and collaborating with product, engineering, and operational teams to deliver reliable production AI solutions, including RAG pipelines, semantic search, and model monitoring/logging.

Sravani Guntaka

AI Engineer, Data Scientist, AI Developer, +2

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Machine Learning Engineer with 3+ years of experience building and deploying end-to-end AI/ML solutions from experimentation to production. Experienced in LLM-powered tools, NLP applications, and scalable ML systems that support business operations and client delivery. Skilled in rapid prototyping, model validation, API integration, and collaborating with product, engineering, and operational teams to deliver reliable production AI solutions, including RAG pipelines, semantic search, and model monitoring/logging.…Machine Learning Engineer with 3+ years of experience building and deploying end-to-end AI/ML solutions from experimentation to production. Experienced in LLM-powered tools, NLP applications, and scalable ML systems that support business operations and client delivery. Skilled in rapid prototyping, model validation, API integration, and collaborating with product, engineering, and operational teams to deliver reliable production AI solutions, including RAG pipelines, semantic search, and model monitoring/logging.

Available to hire

Machine Learning Engineer with 3+ years of experience building and deploying end-to-end AI/ML solutions from experimentation to production. Experienced in LLM-powered tools, NLP applications, and scalable ML systems that support business operations and client delivery.

Skilled in rapid prototyping, model validation, API integration, and collaborating with product, engineering, and operational teams to deliver reliable production AI solutions, including RAG pipelines, semantic search, and model monitoring/logging.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Beginner

Beginner

Work Experience

AIML Engineer / Data Scientist at Nuritas

January 1, 2025 - June 1, 2026

Built an LLM-powered internal knowledge assistant using Python and OpenAI API, implementing document ingestion pipelines, embedding generation, and vector search with FAISS for semantic search across internal documentation. Developed AI-powered applications using Python, React, and Microsoft Azure to automate business processes and improve operational efficiency. Created a code-change summarization system by integrating Git repository data with transformer-based NLP models to generate automated pull request summaries for delivery teams. Designed data preprocessing and feature pipelines using Pandas and SQL to collect, clean, and structure operational datasets for model training and validation. Built LLM-based assistants using Azure OpenAI with prompt engineering for document summarization and knowledge retrieval. Implemented RESTful APIs using Python (FastAPI) to integrate AI services with enterprise applications. Developed scalable ML pipelines in Python using PyTorch, TensorFlow, and

AI Engineer at Fractal

January 1, 2020 - May 31, 2024

Developed data ingestion and preprocessing pipelines in Python using Pandas, combining datasets from SQL Server and CSV exports to create structured training datasets. Performed feature engineering on operational metrics such as login frequency, API usage, and error rates to improve prediction accuracy. Automated business workflows using Azure Functions, Logic Apps, and Event Grid to reduce manual tasks and improve productivity. Implemented model evaluation workflows using cross-validation and performance metrics (precision, recall, F1-score) including confusion matrix analysis. Built responsive front-end interfaces using React, TypeScript, HTML, and CSS for AI-driven applications. Deployed cloud-native applications on Microsoft Azure using App Services, Key Vault, Storage, and Azure DevOps CI/CD. Collaborated in Agile/Scrum environments with cross-functional teams to deliver data-driven solutions. Extracted and prepared labeled support-ticket datasets from SQL for supervised learning;