Bharat Goel

AI Researcher

Salt Lake City, Utah, United States8 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 5+ years of experience in AI system design.
  • Expert in LLM-powered solutions and prompt engineering.
  • Proven track record in optimizing NLP-driven systems.
Stackforce AI infers this person is a SaaS-focused AI Research Engineer with strong NLP and system architecture expertise.

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Skills

Core Skills

Prompt EngineeringRetrieval-augmented Generation (rag)Natural Language Processing (nlp)Workflow AutomationFront-end DevelopmentFull-stack Development

Other Skills

AI ProductivityAI PromptingAdobe Creative CloudAmazon Web Services (AWS)AngularJSArtificial Intelligence for BusinessArtificial Intelligence for DesignAzure DevOps ServicesC#C++Cascading Style Sheets (CSS)ChatGPTClient Side ScriptingCode ReviewContact Centers

About

🚀 AI Research Engineer with 5+ years of experience building scalable, production-ready systems across CCaaS. I specialize in the system design and architecture of LLM-powered solutions, with hands-on expertise in prompt engineering, Retrieval-Augmented Generation (RAG), and agentic AI workflows. In my current role, I focus on turning emerging AI capabilities into reliable, real-world systems—designing intelligent architectures that reduce ambiguity, improve accuracy, and meaningfully improve user experiences. TL;DR: I figure out practical ways to harness AI to take real pain off clients’ plates. Previously at AtlasRTX, I built and enhanced NLP-driven systems that power seamless customer interactions and accelerate lead conversion. My work spanned conversation pipeline optimization, workflow automation using cloud technologies, and real-time, data-driven recommendations that improved engagement and system reliability. I bring a strong software engineering foundation, with experience across Python-based AI workflows, object-oriented backend systems, modern frontend frameworks, and NLP pipelines, allowing me to bridge research, system design, and production delivery. I’m energized by ambiguous problems, applied AI, and building LLM systems that are not just impressive—but dependable, explainable, and useful. 🤝 Let’s connect if you’re building—or thinking about building—production-grade AI systems.

Experience

Nice

2 roles

AI Research Engineer

Jul 2025 – Present · 8 mos

  • Designed and architected an LLM-driven system to detect ambiguity in user queries and retrieved knowledge, dynamically generating clarifying questions through prompt chaining to ensure precise, context-aware responses.
  • Redesigned the prompt evaluation and testing framework into a scalable, model-agnostic system, enabling systematic benchmarking across multiple LLMs and configurations using pytest and DeepEval metrics to measure accuracy, robustness, and consistency.
  • Partnered with client teams to reduce LLM hallucinations and improve response accuracy, while applying prompt optimization and retrieval strategies to stabilize production behavior and support a successful, low-risk go-live.
Prompt EngineeringAI PromptingAmazon Web Services (AWS)Python (Programming Language)Retrieval-Augmented Generation (RAG)

Software Engineer, AI Experience, Verse.ai/AtlasRTX

Apr 2023 – Jul 2025 · 2 yrs 3 mos

  • Develop, train and enhance services for NLP based text experiences that acts as digital workforce alongside sales and engagement teams in B2C companies/institutions, thus shortening their lead conversion cycles.
  • Optimized lead qualification through a streamlined SMS based follow-up experience based on IBM Watson, Azure Function Apps, and C# .NET thus increasing availability threefold, ensuring targeted conversations aligned with customer needs.
  • Developed automated services with Azure Logic Apps, Service Bus, and Function Apps to ingest, clean, and optimize client data, increasing availability and eliminating manual efforts.
  • Facilitated the expansion of the AtlasRTX production home builder offerings in Canada by enhancing the data ingestion process to support region-specific terms and functionalities.
  • Trained NLP models to accurately interpret user intent for filtering by total or monthly price, disambiguating based on input context and available home price data.
  • Implemented robust Cypress tests to ensure the integrity and functionality of web and text-based experiences, contributing to the maintenance and optimization of seamless user interactions.
  • Engineered features in multiple experiences that leverages data-driven recommendations generated in real-time in response to user queries, enhancing engagement and satisfaction.
IBM WatsonGitAzure DevOps ServicesMicrosoft AzureC#Natural Language Processing (NLP)+1

Goldman sachs

2 roles

Engineering Associate

Dec 2022 – Mar 2023 · 3 mos · Salt Lake City, Utah, United States

  • Led front-end development of resiliency orchestration application for business continuity engineering team, that keeps firm’s application and datacenters in compliance with allowed failover times and provide health check in production, by overseeing code reviews, new features & user experience efforts, continuously improving product performance, capacity & usability.
  • Developed reporting dashboard using React/Typescript/Java/MongoDB, making audits of failover events simple and efficient by delivering data in one-third of the time.
  • Researched, designed, and deployed “tags” functionality for failover events, providing ease of access to group events under small memorable labels, making finding events easier, efficient, and reducing the efforts to do same by 90%.
  • Guided 2 interns in integrating smart diagnosis feature that helps users to understand where issues lies if their failover event fails.
TypeScriptGitMongoDBJavaFull-Stack DevelopmentFront-End Development

Senior Engineering Analyst

Jun 2020 – Dec 2022 · 2 yrs 6 mos · Salt Lake City, Utah, United States

  • Redesigned US tax documentation solutions improving their responsiveness, intuitiveness & automating frequent manual services.
  • Migrated rich data-driven web apps from Angular/Spring/XMLs to ReactJS/Spring/Java Annotations used for documenting tax of more than 300K Goldman Sachs clients across the globe annually, thus making it more stable, accessible, reliable & improving performance by 30-40%.
  • Designed new application from scratch using React/TypeScript/Java/SybaseIQ/DB2 for year-end tax reporting purposes that allows user to upload backer files using drag and drop in PDF format, helping users to preview them for any issues (e.g., corrupt files, typos, bad formats), maintaining history and providing standard titles before adding to tax forms, reducing error rate to ~5%.
  • Deployed year-end tax reporting dashboard using CI/CD methods and setting up GS complied & industry standard infrastructure, also adding new features (e.g., easy to understand visualization of metrics using charts) to better understand new requirements and place resources at effective positions for following year efforts.
  • Managed 3 interns, guiding them on adding new features like retrieving reportable accounts data for past tax years, preventing missing tax forms, and mitigating penalties, saving 1000+ man hours for operations team.
  • Employed & developed new approaches by creating numerous micro-services and batch services by using Java/SpringBoot & SpringBatch to cater multiple data delivery tasks by automating attaching of tax forms to entities based on previous years’ data and testing multiple scenarios by writing JUnit tests resulting in efficient & on-time documentation.
TypeScriptGitWebpackMongoDBFull-Stack DevelopmentFront-End Development+1

Arizona state university

2 roles

Lead Graduate Peer Career Coach - Fulton Schools of Engineering Career Center

May 2019 – May 2020 · 1 yr

  • Led team of 3-5 peer coaches on rĂ©sumĂ© writing, career fairs, interviews, job search, LinkedIn profiles, salary negotiations, and developed standards for documenting student appointments guiding almost 25,000 ASU engineering students to better prepare in securing multiple job offers.

Graduate Peer Career Coach - Fulton Schools of Engineering Career Center

Nov 2018 – May 2019 · 6 mos

  • (On-Campus - Part-time)
  • Contributed significantly in organizing career fairs, resume review and networking events for the engineering department.

Mic tech business labs

Chief Operating Officer

Nov 2017 – Jul 2018 · 8 mos · Meerut, Uttar Pradesh, India

  • Led MIC Tech as founding Chief Operating Officer & based on responses from MyShikshak’s minimum viable product (MVP), redesigned MyShikshak, providing it new revenue model with a projected turnover of 5 million USD in 5 years.
  • Developed company’s store front website using WordPress CMS and managed day-to-day business operations.
Git

Myshikshak

Design & Operations Head

Jun 2017 – Jul 2018 · 1 yr 1 mo · India

  • Launched a new EdTech web app under MIC Tech that is designed to link millions of private tutors & learners across India.
  • Created initial UX, graphical & web content for MyShikshak’s website and marketing campaign, initially targeted to reach 500,000 individuals across 4 cities, establishing it as a brand in tier 2 cities of India.
Git

Tata consultancy services

Project Intern

Jun 2017 – Jul 2017 · 1 mo · Greater Delhi Area

  • Developed UX & UI of the web application for government-owned electricity distribution department of India, creating user flows & frontend based on HTML, Bootstrap CSS & AngularJS, in order to automate regular activity reporting.
  • Offered Appreciation Certificate & Direct Interview

Education

Arizona State University

Master of Science - MS — Software Engineering

Jan 2018 – Jan 2020

APJ Abdul Kalam Technological University

Bachelor of Technology (Honurs) — Computer Science

Jan 2014 – Jan 2018

Delhi Public School - India

Intermidiate — PCM

Jan 2008 – Jan 2013

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