Bhargav Sai

AI Researcher

Dallas, Texas, United States6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and LLMOps.
Designed advanced prompt engineering techniques.
Achieved 90.6% production accuracy in AI systems.

Stackforce AI infers this person is a SaaS-focused AI/Data Engineer with expertise in Generative AI and prompt engineering.

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Skills

Core Skills

Conversational AiLarge Language Models (llm)Data EngineeringPrompt EngineeringData Analysis

Other Skills

Neo4jLangGraphLangfuseREST APIsRedisAzure DatabricksAzure Data FactoryAzure DevOps ServicesMicrosoft SQL ServerGitlabApache SparkLangChainPython (Programming Language)Anthropic ClaudeBack-End Web Development

About

ML Engineer with deep expertise in Generative AI and LLMOps, specializing in designing and optimizing prompts for real-world use cases, including chatbots, summarization, and data retrieval. Experienced in advanced prompting strategies like RAG Fusion, Tree of Thoughts, and taxonomy prompting.

Experience

6 mos

Total Experience

6 mos

Average Tenure

Current Experience

Verizon

AI/ML Engineer

Jul 2025 – Present · 11 mos · Dallas, Texas, United States · On-site

1. Architected and productionized a LangGraph-based multi-agent platform with stateful coordination, intent-driven routing, Redis caching, and secure multi-environment deployments.
2. Built the AI decision and routing layer using Gemini Flash with semantic reasoning and confidence scoring, achieving 90.6% production accuracy.
3. Implemented production-grade observability and guardrails, including unsafe-intent handling, low-confidence fallbacks, real-time accuracy monitoring, and prompt iteration pipelines to reduce hallucinations.
4. Automated manual troubleshooting workflows, reducing resolution time from hours to near-instant and significantly lowering recurring engineering workload.

Neo4jLangGraphLangfuseREST APIsConversational AIRedis+1

Debian systems inc

Data Engineer

Jan 2025 – Jul 2025 · 6 mos · Texas, United States · Remote

. Implemented advanced prompt engineering techniques, including RAG fusion and task decomposition, to prevent prompt
injection attacks and optimize token usage—reducing model query costs by 15%.
Built modular toolchains with MCP integration using prompt engineering to auto-generate code and route queries to
appropriate tools.Increasing productivity by 70% for teams leveraging these capabilities.
Designed and deployed a Retrieval-Augmented Generation (RAG) application that enabled non-technical users to interact with
data using natural language, eliminating the need to write SQL or Python queries.

Azure DatabricksAzure Data FactoryAzure DevOps ServicesMicrosoft SQL ServerGitlabApache Spark+5

Macroxstudio

AI/Data Engineer

Sep 2024 – Dec 2024 · 3 mos · San Francisco Bay Area · Remote

1. Developed a chat-based data analysis interface enabling users to generate plots, perform regression and univariate analyses, and identify key variables in the given Data.
2.Explored and compared various LLM-based solutions, including prompt engineering, local and open-source models, Python script integration, and multi-LLM chaining.

Large Language Models (LLM)Back-End Web DevelopmentPrompt EngineeringData Engineering

Goergen institute for data science (gids)

Teaching Assistant

Jun 2024 – Aug 2024 · 2 mos · Rochester, New York, United States · Remote

Statistical AnalysisTeaching

University of rochester school of medicine and dentistry

AI Research Intern

Jan 2024 – Jun 2024 · 5 mos · Rochester, New York, United States · Hybrid

1. Utilized large language models to classify unstructured race and ethnicity data from 10,000 participants across 170 nations, integrating cultural context and national census classifications to improve accuracy.
2. Employed large language models to predict levels of discrimination within each country, assigning a scale of 1-3 (1 being most discriminated, 3 being least) based on cultural and historical context. This analysis contributed to a deeper understanding of health disparities and social inequalities worldwide.

Large Language Models (LLM)Prompt EngineeringData Analysis