Open to opportunities

Siva Sai Krishna Sunkara

@sivasaikrishnasunkar

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AI/ML engineer building Generative AI, RAG systems, and data pipelines for actionable insights.

United States

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What I'm looking for

I’m looking for a role where I can build and deploy Generative AI (RAG/LLMs), predictive ML models, and reliable data pipelines—partnering with teams to deliver REST APIs and analytics dashboards that support data-driven decisions.

I’m an AI/ML Engineer with 3+ years of experience developing machine learning solutions, Generative AI applications, and NLP systems, supported by a Master of Science in Data Science from Gannon University.

At C360 Software Inc, I built ETL pipelines with Python, SQL, Apache Spark, and Databricks to transform and validate enterprise datasets. I also developed LLM-powered applications using RAG architectures with LangChain (and LangGraph) and delivered them through REST APIs with FastAPI.

I’m especially proud of work like an Enterprise Knowledge Assistant (OpenAI GPT + LangChain + RAG with FAISS) and conversational AI support workflows focused on prompt engineering, context management, and response quality. I enjoy turning complex data into predictive models, reliable deployments, and dashboards that drive real business decisions.

Experience

Work history, roles, and key accomplishments

AI/ML Engineer

C360 Software Inc

Jun 2021 - Dec 2023 (2 years 6 months)

Developed and deployed machine learning solutions for predictive analytics and intelligent reporting, including ETL pipelines and model optimization. Built generative AI (LLM/RAG) applications, document intelligence with vector search, and REST APIs for deploying AI inference workflows.

Python SQL Machine Learning Predictive Analytics ETL Apache Spark Databricks LLM Generative AI LangGraph NLP Semantic Search Faiss REST APIs fastAPI Feature Engineering Model Evaluation Power BI Vector Search

AI/ML Intern

C360 Software Inc

Dec 2019 - Apr 2021 (1 year 4 months)

Built Python-based applications and automation solutions, including data processing pipelines and exploratory data analysis. Developed ML prototypes for classification, prediction, and sentiment analysis, and supported reporting via Power BI and SQL/Python workflows.