I'm Naga Venkata Raviteja Kunapareddy, an AI/ML Engineer with 6+ years of experience designing and deploying machine learning and generative AI solutions in enterprise environments. I specialize in NLP, document intelligence, and LLM-powered systems, with hands-on experience building retrieval-augmented generation (RAG) pipelines and controlled AI workflows across large-scale document use cases. I work across the full ML lifecycle, collaborating with product managers, data scientists, and engineering teams to translate business problems into scalable AI solutions. I have a strong track record deploying AI solutions on cloud platforms such as Azure and AWS for financial services and healthcare domains, delivering accurate, auditable, and compliant outcomes including document summarization, internal assistants, and decision-support systems. I am passionate about building safe, scalable AI that improves workflows and enables better decision making in regulated environments.

Naga Venkata Raviteja Kunapareddy

I'm Naga Venkata Raviteja Kunapareddy, an AI/ML Engineer with 6+ years of experience designing and deploying machine learning and generative AI solutions in enterprise environments. I specialize in NLP, document intelligence, and LLM-powered systems, with hands-on experience building retrieval-augmented generation (RAG) pipelines and controlled AI workflows across large-scale document use cases. I work across the full ML lifecycle, collaborating with product managers, data scientists, and engineering teams to translate business problems into scalable AI solutions. I have a strong track record deploying AI solutions on cloud platforms such as Azure and AWS for financial services and healthcare domains, delivering accurate, auditable, and compliant outcomes including document summarization, internal assistants, and decision-support systems. I am passionate about building safe, scalable AI that improves workflows and enables better decision making in regulated environments.

Available to hire

I’m Naga Venkata Raviteja Kunapareddy, an AI/ML Engineer with 6+ years of experience designing and deploying machine learning and generative AI solutions in enterprise environments. I specialize in NLP, document intelligence, and LLM-powered systems, with hands-on experience building retrieval-augmented generation (RAG) pipelines and controlled AI workflows across large-scale document use cases. I work across the full ML lifecycle, collaborating with product managers, data scientists, and engineering teams to translate business problems into scalable AI solutions.

I have a strong track record deploying AI solutions on cloud platforms such as Azure and AWS for financial services and healthcare domains, delivering accurate, auditable, and compliant outcomes including document summarization, internal assistants, and decision-support systems. I am passionate about building safe, scalable AI that improves workflows and enables better decision making in regulated environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Senior AI/ML Engineer (Generative AI) at Goldman Sachs
December 1, 2024 - Present
Led the automation of SEC 10-K/10-Q review using NLP/LLM analysis, built an end-to-end ingestion-to-output pipeline across HTML, PDF, and XBRL formats, implemented multi-format extraction (Form Recognizer, BeautifulSoup, Arelle), and standardized GAAP metrics. Fine-tuned RoBERTa for paragraph-level disclosure scoring, generated embeddings with Azure OpenAI, and indexed chunks in Azure AI Search for hybrid retrieval. Developed GPT-4–assisted summarization workflows and an internal SEC Copilot (RAG) with grounding and citations, plus monitoring and audit controls with lineage tracking for explainability in regulated environments.
AI/ML Engineer at CVS Health
January 1, 2024 - November 1, 2024
Designed a policy-grounded GenAI copilot to assist support and operations teams with drug coverage, benefits, and policy inquiries. Built a policy-document foundation with versioned metadata, implemented section-aware chunking, and generated embeddings via Amazon Bedrock with OpenSearch. Implemented hybrid retrieval with strict metadata filters and guardrails to escalate ambiguous cases. Integrated Claude on Bedrock to generate policy-grounded responses with a neutral tone, delivering structured answers with excerpts and escalation signals via FastAPI, and monitoring via CloudWatch for latency and guardrail decisions.
AI/ML Engineer at HSBC
June 1, 2022 - August 1, 2023
Built an NLP/ML system to analyze customer complaints and convert them into structured risk signals for operations and compliance. Ingested data into a governed SQL data warehouse, implemented PySpark preprocessing, and created Parquet snapshots. Fine-tuned a DistilBERT-based multi-head classifier for issue type, severity, and conduct risk, handling long narratives via controlled chunking. Trained and deployed models with Azure ML, scoring new complaints at scale and exposing insights through SQL-based dashboards for regulatory oversight.
AI/ML Engineer at TCS
January 1, 2021 - May 1, 2022
Built a transaction and account risk scoring system to prioritize cases for manual review in a regulated banking environment. Ingested structured data, engineered features (velocity, deviations, time-of-day, activity consistency), trained and compared classical ML models (Logistic Regression, Random Forest, Gradient Boosting), and deployed batch scoring via Azure ML and Docker with scores stored in SQL dashboards for investigation workflows.
AI/ML Trainee at Karvy
July 1, 2019 - December 1, 2020
Supported finance and operations by improving data reporting workflows with SQL, Python, and BI tools. Cleaned transactional data, transformed into KPIs, built recurring Power BI dashboards, automated refreshes, and implemented data quality checks to enhance reporting reliability.

Education

Master of Science in Management Information Systems at Northern Illinois University
August 1, 2023 - May 1, 2025
Bachelor of Technology (B.Tech) in Electrical and Electronics Engineering at SRKR Engineering College
June 1, 2016 - September 1, 2020

Qualifications

AWS Certified Machine Learning - Associate
January 11, 2030 - February 26, 2026
Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - February 26, 2026

Industry Experience

Financial Services, Healthcare, Professional Services, Software & Internet