Hello! I'm Bhanu Chandra Pachipala, a software engineer with 3+ years of experience designing, scaling, and deploying distributed microservices and enterprise web applications. I specialize in building high-throughput, event-driven systems using Apache Kafka, robust backend frameworks like Java/Spring Boot and Python/FastAPI/Flask, and secure cloud infrastructure on AWS. I thrive on turning complexity into reliable, scalable solutions that drive real business impact. I excel at optimizing database access, reducing latency, and building secure, regulatory-compliant data pipelines. I enjoy collaborating with cross-functional teams to integrate enterprise systems with modern cloud-based analytics and intelligent inference endpoints, delivering measurable improvements in performance and user experience.

Bhanu Pachipala

Hello! I'm Bhanu Chandra Pachipala, a software engineer with 3+ years of experience designing, scaling, and deploying distributed microservices and enterprise web applications. I specialize in building high-throughput, event-driven systems using Apache Kafka, robust backend frameworks like Java/Spring Boot and Python/FastAPI/Flask, and secure cloud infrastructure on AWS. I thrive on turning complexity into reliable, scalable solutions that drive real business impact. I excel at optimizing database access, reducing latency, and building secure, regulatory-compliant data pipelines. I enjoy collaborating with cross-functional teams to integrate enterprise systems with modern cloud-based analytics and intelligent inference endpoints, delivering measurable improvements in performance and user experience.

Available to hire

Hello! I’m Bhanu Chandra Pachipala, a software engineer with 3+ years of experience designing, scaling, and deploying distributed microservices and enterprise web applications. I specialize in building high-throughput, event-driven systems using Apache Kafka, robust backend frameworks like Java/Spring Boot and Python/FastAPI/Flask, and secure cloud infrastructure on AWS. I thrive on turning complexity into reliable, scalable solutions that drive real business impact.

I excel at optimizing database access, reducing latency, and building secure, regulatory-compliant data pipelines. I enjoy collaborating with cross-functional teams to integrate enterprise systems with modern cloud-based analytics and intelligent inference endpoints, delivering measurable improvements in performance and user experience.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

AI Software Engineer at Humana
August 1, 2025 - Present
Built a microservices-driven clinical platform utilizing Next.js, TypeScript, and FastAPI to surface real-time patient vitals and predictive diagnostics, reducing fragmented views and cutting physician review time by 40%. Architected a secure Python/Flask data retrieval backend leveraging vector indexing (FAISS) and Retrieval-Augmented Generation (RAG) pipelines, streamlining clinical documentation search and cutting data access latency by 44%. Developed a secure, accessible web portal utilizing React and specialized routing logic to automate resource navigation for mobility-restricted patients, contributing to a 30% reduction in support center call volume. Designed and deployed a high-performance semantic search microservice on AWS using FastAPI and text-embedding vector mapping, replacing legacy keyword queries and upgrading patient record relevance by 48%. Built secure Node.js middleware to automate HIPAA-compliant routing of live patient risk-scoring metrics directly into clinical
Software Engineer at Citus Infotech
August 1, 2020 - July 1, 2023
Architected a microservices-based credit risk tool using Java, Spring Boot, and Hibernate, implementing secure OAuth 2.0 and JWT protocols for third-party integrations while supporting 5,000+ concurrent requests. Engineered an event-driven payment processing system utilizing Apache Kafka and Python, scaling transactional throughput from 500 to 2,000+ TPS and securely managing up to $50M in daily financial volume. Optimized cloud infrastructure and data layers via AWS Application Load Balancers and Amazon RDS PostgreSQL performance tuning, reducing trade processing latency by 40% (850ms to 510ms) during peak hours. Developed a real-time financial monitoring system using Node.js and Express.js, leveraging Redis caching alongside a MongoDB data layer to eliminate live metric reporting delays. Built a responsive financial dashboard using React, TypeScript, and WebSockets, enabling real-time data synchronization across high-traffic workflows and cutting page load times from 6s to 3s. Enforc

Education

Master of Science in Computer Science at Northeastern University
January 11, 2030 - December 1, 2025
Bachelor of Technology in Computer Science at Lovely Professional University
January 11, 2030 - August 1, 2021

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Professional Services