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I'm Bhargav Pulipati, a full stack and AI engineer focused on building scalable, data-driven software that drives real business impact. With 3+ years of hands-on experience, I translate complex problems into reliable, high-performance solutions across the stack. I enjoy collaborating with product and data teams to ship end-to-end features—from API design and microservices to ML-powered experiences—while keeping the user at the center and maintaining high quality through tests and automation.…I'm Bhargav Pulipati, a full stack and AI engineer focused on building scalable, data-driven software that drives real business impact. With 3+ years of hands-on experience, I translate complex problems into reliable, high-performance solutions across the stack. I enjoy collaborating with product and data teams to ship end-to-end features—from API design and microservices to ML-powered experiences—while keeping the user at the center and maintaining high quality through tests and automation.

Bhargav Pulipati

Full Stack Developer, Web Developer, Front-End Developer, +4

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I'm Bhargav Pulipati, a full stack and AI engineer focused on building scalable, data-driven software that drives real business impact. With 3+ years of hands-on experience, I translate complex problems into reliable, high-performance solutions across the stack. I enjoy collaborating with product and data teams to ship end-to-end features—from API design and microservices to ML-powered experiences—while keeping the user at the center and maintaining high quality through tests and automation.…I'm Bhargav Pulipati, a full stack and AI engineer focused on building scalable, data-driven software that drives real business impact. With 3+ years of hands-on experience, I translate complex problems into reliable, high-performance solutions across the stack. I enjoy collaborating with product and data teams to ship end-to-end features—from API design and microservices to ML-powered experiences—while keeping the user at the center and maintaining high quality through tests and automation.

Available to hire

I’m Bhargav Pulipati, a full stack and AI engineer focused on building scalable, data-driven software that drives real business impact. With 3+ years of hands-on experience, I translate complex problems into reliable, high-performance solutions across the stack.

I enjoy collaborating with product and data teams to ship end-to-end features—from API design and microservices to ML-powered experiences—while keeping the user at the center and maintaining high quality through tests and automation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Software Developer at Medtronic

June 1, 2025 - November 18, 2025

Developed GraphQL APIs with Spring Boot to streamline onboarding workflows, boosting response speed by 30% and reducing client-side errors during sign-ups. Built a Kafka-based pipeline to stream real-time user events, cutting analytics lag from 4 minutes to 20 seconds and enabling live insights for quicker decision-making. Created Angular components for support management tools using Ant Design and shared services, reducing repetitive UI code by 20% and improving agent workflows through clearer dashboards and faster ticket resolution.

Software Engineer at Walmart

May 1, 2025 - May 1, 2025

Optimized batch order processing in Spring Boot microservices using CompletableFuture and ExecutorService, improving concurrency and reducing average transaction time by 2 seconds during peak operations. Built React + TypeScript interfaces with Redux, reducing frontend bugs by 22% and enabling faster adoption through cleaner UI workflows and reusable components. Designed Node.js APIs with JWT authentication and schema validation to unify supply-chain data flow, reducing integration errors by 15% and improving real-time data reliability and latency by 25%. Automated release pipelines with Jenkins and Docker, incorporating unit tests and SonarQube checks to boost deployment reliability.

AI Engineer at The University of Texas at Dallas

April 1, 2024 - April 1, 2024

Engineered a Retrieval-Augmented Generation (RAG) pipeline using LangChain, AWS S3 for document storage, and OpenSearch for embeddings, enabling LLM-driven responses with citations and improving retrieval precision by 23% on UT Dallas datasets. Fine-tuned domain-specific Transformer models with PyTorch/TensorFlow validation, integrating rerankers that boosted query accuracy by 12% while maintaining efficient token usage. Deployed a FastAPI backend on AWS EKS with ELB scaling, reducing query latency from 2.1s to 1.5s and improving user satisfaction. Automated ETL pipelines in Airflow to refresh indexed content and archive data over 90 days to S3 Glacier, cutting storage costs by 18%.

Software Engineer at JPMorgan Chase & Co.

July 1, 2023 - July 1, 2023

Optimized Spring Boot services with Hibernate JPA batching and tuned Oracle queries, reducing API latency by 40 ms and lowering timeout errors in high-volume reconciliations. Designed a Kafka enrichment pipeline merging Cassandra and Redis event data for fraud detection, improving alert precision and reducing false positives. Migrated settlement services to AWS EKS with Jenkins canary rollouts and Prometheus alerts, reducing deployment failures and improving production visibility. Developed gRPC APIs linking enriched transactions to Python and R risk models with Go-based validation services, lowering integration regressions. Engineered PySpark pipelines consolidating Oracle and SQL Server datasets into Tableau dashboards, maintaining mismatch rates under 0.6% for quarterly reports.

Software Engineer at Walmart

May 1, 2024 - May 1, 2025

Optimized batch order processing in Spring Boot microservices using CompletableFuture and ExecutorService, enhancing concurrency and cutting average transaction time by 2 seconds during peak operations. Built React + TypeScript interfaces with Redux, reducing frontend bugs by 22% and improving adoption through reusable components. Implemented Node.js APIs with JWT authentication and schema validation to unify supply-chain data, lowering integration errors by 15% and improving real-time data reliability and latency by 25%. Automated release pipelines with Jenkins and Docker, adding unit tests and SonarQube checks to boost deployment reliability.

AI Engineer at The University of Texas at Dallas

September 1, 2023 - April 1, 2024

Engineered a Retrieval-Augmented Generation (RAG) pipeline using LangChain, AWS S3 for storage, and OpenSearch for embeddings, enabling LLM-driven responses with citations and boosting retrieval precision by 23% on UTD datasets. Fine-tuned domain-specific Transformer models on Hugging Face with PyTorch and TensorFlow, integrating rerankers that improved query accuracy by 12% while maintaining token efficiency. Deployed a FastAPI backend on AWS EKS with ELB, reducing query latency from 2.1s to 1.5s. Automated ETL pipelines in Airflow to refresh indexed content and archive over 90 days to S3 Glacier, cutting storage costs by 18% and ensuring consistent model retrieval.

Software Engineer at JPMorgan Chase & Co.

July 1, 2021 - July 1, 2023

Optimized Spring Boot services with Hibernate JPA batching and tuned Oracle queries, reducing API latency by 40 ms and lowering timeout errors in high-volume reconciliations. Designed a Kafka enrichment pipeline merging Cassandra and Redis for fraud detection, improving alert precision and reducing false positives and manual reviews by 17%. Migrated settlement services to AWS EKS with Jenkins canary rollouts and Prometheus alerts, reducing deployment failures by 14% and improving release visibility. Developed gRPC APIs linking enriched transactions to Python and R risk models, supported by Go-based validation services, lowering integration regressions from 15 to 5 incidents per release. Engineered PySpark pipelines consolidating Oracle and SQL Server datasets into Tableau dashboards, maintaining mismatch rates under 0.6%.