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AI/ML Engineer with 4+ years of experience building and deploying machine learning, NLP, and Generative AI solutions for enterprise analytics and AI-powered search. Expertise across Python, SQL, Scikit-learn, PyTorch, TensorFlow, LLMs, RAG, embeddings, semantic retrieval, and production ML workflows. Hands-on with LLM evaluation, prompt engineering, AI agents, MLOps, experiment tracking, and model monitoring. Builds production-ready data pipelines, REST inference services, and scalable cloud ML solutions on AWS/Azure/GCP—focused on reliable, measurable outcomes and stable performance in real-world systems.…AI/ML Engineer with 4+ years of experience building and deploying machine learning, NLP, and Generative AI solutions for enterprise analytics and AI-powered search. Expertise across Python, SQL, Scikit-learn, PyTorch, TensorFlow, LLMs, RAG, embeddings, semantic retrieval, and production ML workflows. Hands-on with LLM evaluation, prompt engineering, AI agents, MLOps, experiment tracking, and model monitoring. Builds production-ready data pipelines, REST inference services, and scalable cloud ML solutions on AWS/Azure/GCP—focused on reliable, measurable outcomes and stable performance in real-world systems.

VIJAYA NARAYANAVARAPU

AI Engineer, Data Scientist, Software Engineer, +2

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AI/ML Engineer with 4+ years of experience building and deploying machine learning, NLP, and Generative AI solutions for enterprise analytics and AI-powered search. Expertise across Python, SQL, Scikit-learn, PyTorch, TensorFlow, LLMs, RAG, embeddings, semantic retrieval, and production ML workflows. Hands-on with LLM evaluation, prompt engineering, AI agents, MLOps, experiment tracking, and model monitoring. Builds production-ready data pipelines, REST inference services, and scalable cloud ML solutions on AWS/Azure/GCP—focused on reliable, measurable outcomes and stable performance in real-world systems.…AI/ML Engineer with 4+ years of experience building and deploying machine learning, NLP, and Generative AI solutions for enterprise analytics and AI-powered search. Expertise across Python, SQL, Scikit-learn, PyTorch, TensorFlow, LLMs, RAG, embeddings, semantic retrieval, and production ML workflows. Hands-on with LLM evaluation, prompt engineering, AI agents, MLOps, experiment tracking, and model monitoring. Builds production-ready data pipelines, REST inference services, and scalable cloud ML solutions on AWS/Azure/GCP—focused on reliable, measurable outcomes and stable performance in real-world systems.

Available to hire

AI/ML Engineer with 4+ years of experience building and deploying machine learning, NLP, and Generative AI solutions for enterprise analytics and AI-powered search. Expertise across Python, SQL, Scikit-learn, PyTorch, TensorFlow, LLMs, RAG, embeddings, semantic retrieval, and production ML workflows.

Hands-on with LLM evaluation, prompt engineering, AI agents, MLOps, experiment tracking, and model monitoring. Builds production-ready data pipelines, REST inference services, and scalable cloud ML solutions on AWS/Azure/GCP—focused on reliable, measurable outcomes and stable performance in real-world systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Perplexity AI

January 1, 2025 - Present

Contributed to AI-powered search and answer-generation workflows using machine learning, information retrieval, and language models to support relevant, source-grounded responses. Built Python-based data/ML pipelines to transform search queries, retrieved documents, metadata, and model outputs into structured inputs for retrieval, ranking, evaluation, and downstream inference. Implemented semantic retrieval using embedding models and vector search, and developed RAG pipelines (retrieval, context construction, prompt orchestration, and LLM inference) to improve relevance and reduce unsupported outputs. Designed evaluation workflows for retrieval and generation quality including relevance, groundedness, citation accuracy, completeness, and failure pattern analysis. Developed FastAPI RESTful AI services integrating retrieval, inference, and structured outputs, optimizing latency via async processing, caching, batching, and embedding reuse. Conducted prompt/embedding/retrieval experiments

AI/ML Engineer at DXC Technology

June 1, 2020 - November 30, 2022

Supported enterprise analytics and ML initiatives by transforming operational datasets using Python, SQL, Pandas, NumPy, and SciPy to produce reliable inputs for predictive analytics and reporting. Performed EDA, dataset profiling, missing-value treatment, outlier detection, and feature preparation to improve data quality. Built predictive modeling workflows for classification, trend analysis, and business-rule automation using scikit-learn with validation and performance analysis. Applied NLP/text-processing for document categorization, keyword extraction, text cleansing, and structured information capture. Integrated outputs into reusable REST API responses and reporting datasets. Optimized Oracle SQL (joins/views/indexing/stored procedures) to improve data retrieval and refresh cycles. Built Power BI dashboards for trends and model outputs. Supported API testing/validation, troubleshooting with QA/engineering, and Agile delivery including requirements analysis and UAT support.