Nitin Bhat — AI Researcher

I’m a Backend Engineer (Spring Boot, FastAPI, Kubernetes, LLMs) with 5 years of experience architecting and scaling distributed systems that serve tens of millions of users. At CVS Health, I lead AI-driven initiatives across the Insurance and Health Records platforms–building large-scale systems that integrate with 2K+ EHR providers (Cerner, Epic, Athena) and power data access for 23 million digital users. My work has enabled real-time insurance verification, saving $3.4 million annually, and improved eligibility success by 46% through OCR and system-resilience optimizations. Previously, at Cisco Systems, I engineered the Webex Data Search and Messaging Analytics platforms used by 30 million users, improving query latency by 30% and designing Kafka-as-a-Service infrastructure (99.9% uptime, 1K tenants). At Sabre, I migrated refund logic from a monolith to scalable microservices, cutting API latency by 30%. Beyond backend systems, I enjoy building AI agents and infra observability tooling–from “Chronos,” a LangGraph-based analytics agent that automates operations insights using Gemini & BigQuery, to company-wide tracing and metrics frameworks that reduced MTTR by 30%. ⚙️ Tech I work with: Java, Spring Boot, Python, FastAPI, Go, Kubernetes, Kafka, AWS, GCP, LangChain, LangGraph, Reactive Programming, and Cloud Infra as Code. 🎓 Certified Kubernetes Administrator (CKA) – 97/100 My passion lies in designing fault-tolerant, observable, and AI-enabled backend systems that make real-world impact. Always excited to discuss large-scale systems, AI infra, and developer-platform challenges.

Stackforce AI infers this person is a Backend Engineer specializing in AI-driven healthcare solutions.

Location: San Francisco, California, United States

Experience: 3 yrs 9 mos

Skills

Backend Engineering
Ai Systems
Observability
Teaching
Software Development
Microservices
Cloud Infrastructure
Devops
Ui Development
Backend Development
Full Stack Development

Career Highlights

Led AI initiatives impacting 23 million users.
Achieved 46% improvement in insurance eligibility success.
Migrated monoliths to microservices, enhancing performance.

Work Experience

CVS Health

Senior AI Engineer (4 mos)

Senior Engineer - Common Platforms and Services / AI (11 mos)

Senior Software Development Engineer - Next Gen Scheduling (7 mos)

Khoury College of Computer Sciences

Graduate Teaching Assistant (4 mos)

Northeastern University

Instructional Assistant (3 mos)

Sabre Corporation

Software Engineer (4 mos)

Cisco

Software Engineer - II ( Webex Collaboration) (6 mos)

Software Engineer II - (Cloud Infrastructure) (6 mos)

Software Engineer I - (Platform Engineering) (11 mos)

Software Engineer Intern (Platform Engineering) (6 mos)

Comportement Software Private Limited

Software Engineer Intern (UI developer) (2 mos)

FarmGuide India

Software Engineer Intern (Backend Infrastructure) (2 mos)

Crive

Software Engineer Intern (Full Stack) (2 mos)

Education

Master's degree at Khoury College of Computer Sciences

Master's degree at Northeastern University

Bachelor of Engineering - BE at Sri Jayachamarajendra College of Engg., MYSORE

Nitin Bhat

AI Researcher

San Francisco, California, United States3 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led AI initiatives impacting 23 million users.
Achieved 46% improvement in insurance eligibility success.
Migrated monoliths to microservices, enhancing performance.

Stackforce AI infers this person is a Backend Engineer specializing in AI-driven healthcare solutions.

Contact

Skills

Core Skills

Backend EngineeringAi SystemsObservabilityTeachingSoftware DevelopmentMicroservicesCloud InfrastructureDevopsUi DevelopmentBackend DevelopmentFull Stack Development

Other Skills

JavaSpring BootFastAPIKubernetesLLMsGoogle ADKLangGraphA2A ProtocolSpannerTruFoundryPromptFooDevDeepEvalsOCRAI-driven POCsGraphQL

About

Experience

3 yrs 9 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 10 mos

Current Experience

Cvs health

3 roles

Senior AI Engineer

Jan 2026 – Present · 4 mos · Remote

Building a general purpose Health Agent, part of Health 100 initiative :
Google ADK and LangGraph for Agent Harness and Workflows.
A2A Protocol for super-agent , sub-agent integrations.
Spanner for agent memory and workflow context mgmt.
TruFoundry , LLM Gateway to access self hosted models.
Self hosted on-prem OSS Models : Mistral , MedGemma , Qwen for compliance and patient privacy.
PromptFooDev , DeepEvals for Agent evals

JavaSpring BootFastAPIKubernetesLLMsBackend Engineering+1

Senior Engineer - Common Platforms and Services / AI

Promoted

Feb 2025 – Jan 2026 · 11 mos · Remote

I lead the insurance platform, common data services, external records and scheduling AI initiatives for www.cvs.com
Currently building the external records platform to surface lab results, visit summaries, allergies etc for 23 million cvs app users partnering with 2000+ providers across america and EHRs like Cerner, Epic, Athena to make CVS app the one stop health app of america.
Led development of Insurance Network Verification feature for CVS Health app, enabling customers to confirm provider network status prior to booking and preventing $3.4M in annual losses from last-minute out-of-network cancellations.
Contributed to building AI-driven POCs leveraging patient visit audio for next-best-step recommendations, automated visit summarization, and conversational agents powered by summaries for QnA , part of health innovation initiative.
Enabled integrated insurance experience for CVS app accounts , Rx Pharmacy, and B2B modalities within a unified scheduling experience for 23 million CVS digital users.
Built fuzzy search for smart insurance member search having deep integrations with aetna systems to provide smooth and friction free experience for aetna members on CVS platforms.

JavaSpring BootOCRAI-driven POCsGraphQLBackend Engineering+1

Senior Software Development Engineer - Next Gen Scheduling

Jun 2024 – Jan 2025 · 7 mos · Remote

Working on building next-gen scheduling for www.cvs.com
Achieved a 46% improvement in real-time insurance eligibility success rates (from 65% to 95%) through optimized OCR workflows, failover strategies, retries, circuit breakers, and fallback mechanisms.
Lead observability efforts across the organization by developing a Java-based metrics, logging, and error-handling library, integrating with Grafana to deliver actionable insights into performance and error trends for scheduling backend systems.
Pioneered an internal assistant tool leveraging Gemini Flash LLM, Streamlit, LangChain, RAG and Chroma DB to enable leadership and operations teams to track documents, analyze scheduling cancellations, and gain insights effectively.

JavaSpring BootPrometheus.ioGrafanaApache KafkaBackend Engineering+1

Khoury college of computer sciences

Graduate Teaching Assistant

Jan 2024 – May 2024 · 4 mos · Boston, Massachusetts, United States · On-site

TA for CS5500 ( Foundations of Software Engineering )

Express.jsNode.jsMongoDBReact.jsTeachingSoftware Development

Northeastern university

Instructional Assistant

Sep 2023 – Dec 2023 · 3 mos · Boston, Massachusetts, United States

Sabre corporation

Software Engineer

May 2023 – Sep 2023 · 4 mos · Southlake, Texas, United States · Hybrid

Part of Digital Connect team, enabling seamless airline bookings for major global airlines by developing and maintaining backend APIs on the travel marketplace platform.
Migrated monolithic Redemption flow to a microservices architecture, resulting in improved software
delivery and significantly enhanced system performance.
Collaborated with cross-functional teams, conducted thorough testing, and actively participated in code reviews to
ensure high-quality code and seamless integrations.

Spring BootKubernetesElastic Stack (ELK)AWSJavaBackend Engineering+1

Cisco

4 roles

Software Engineer - II ( Webex Collaboration)

Feb 2022 – Aug 2022 · 6 mos · Remote · Remote

Worked with API team, to expose webex contact center APIs to 3rd party developers with a unified experience across all services.
Worked on eventing and notification infrastructure for webex contact center services.
Worked in the data platform team to build the backend infrastructure of search platform for contact center metrics using java-springboot, graphQL and elastic-search to enable webex customers to query the metrics at a lightining fast speed.

DevOpsSpring BootKubernetesApache KafkaSQLBackend Engineering+1

Software Engineer II - (Cloud Infrastructure)

Promoted

Aug 2021 – Feb 2022 · 6 mos · Remote · Remote

Lead the efforts to build the observability stack for Kafka service with availability zones across multiple datacenters.
CI pipelines/ unit testing / functional testing/software development for the different components of the kafka service.

Microsoft SQL ServerFlaskPythonGoOpenStackCloud Infrastructure+1

Software Engineer I - (Platform Engineering)

Aug 2020 – Jul 2021 · 11 mos · Remote · Remote

Setup monitoring systems using Prometheus and grafana for our Kubernetes operators to understand and visualize logs in a better way which would make support tasks easier in the future.
Developed admission validator webhooks for the kubernetes cluster using Golang to validate updates for the custom resources that are part of kafka as a service (KaaS).
Developed an automated functional testing suite written in Golang which reduces efforts to manually test the kafka cluster after a change request to ~50% with report generation after completion of tests.
Spearheaded unit testing and development of Kubernetes operators for Kafka as a service (KaaS).
Developed POCs for RabbitMq as a service over openshift platform.

Microsoft SQL ServerGoPythonApache KafkaKubernetesCloud Infrastructure+1

Software Engineer Intern (Platform Engineering)

Jan 2020 – Jul 2020 · 6 mos · Remote · Remote

Created a system to bill customers based on consumption of Kafka service on a cloud native platform (openshift) using technologies like Golang,Prometheus,grafana etc .
Performed performance testing for Kafka Service to understand the throughputs and latency over a certain load for different cluster sizes(broker count & memory) which helped in deciding the most appropriate combinations for best performance.

Microsoft SQL ServerGoPrometheus.ioKubernetesGrafanaCloud Infrastructure+1

Comportement software private limited

Software Engineer Intern (UI developer)

Oct 2019 – Dec 2019 · 2 mos · Greater Bengaluru Area

Lead the effort to build the UI for a client Linc-education's product from scratch using React.js
Implemented features like chat bots / Gmail style mailer / voice calling etc
Built state management architecture using Redux
Worked on requirement gathering with the clients to understand the product expectations.

React.jsRedux.jsUI Development

Farmguide india

Software Engineer Intern (Backend Infrastructure)

Jun 2018 – Aug 2018 · 2 mos · Gurgaon, Haryana, India

Worked on IVRS based software to assist farmers in farming activities using artificial intelligence and machine learning.My major work was focused on building the call flow using restful web services in node js and building call flow related frontend components in ReactJS
https://pmfby.gov.in/
Worked on a donation portal for farmers called sponser a farmer.
https://www.sponsorafarmer.org/

Node.jsReact.jsRedux.jsMongoDBMySQLBackend Development

Crive

Software Engineer Intern (Full Stack)

Jan 2018 – Mar 2018 · 2 mos · Pune/Pimpri-Chinchwad Area

Worked on the product calender-code https://calendarcode.net/
Developed Backend infrastructure like APIs in node js , Database setup using mongoDb.
Developed UI for the platform using Angular.JS

Node.jsAngularJSMongoDBFull Stack Development