Headline

AI Software Development Engineer @ HPE | Full-Stack • Agentic AI • Distributed Systems | Building Production AI Systems | Spring Boot • Microservices • Kubernetes • Cloud-Native • MLOps

About

I started my career building full-stack SaaS products in startup environments, where every release had a direct impact on customers. Today, I'm an AI Software Development Engineer at Hewlett Packard Enterprise (HPE), where I build production-grade AI systems, distributed backend platforms, and enterprise software that automate complex engineering workflows at scale. Over the years, my work has evolved from shipping product features to designing intelligent systems that improve how engineering teams operate. I build AI-powered applications, backend services, and scalable platforms that reduce manual operational effort through autonomous incident analysis, infrastructure understanding, and intelligent DevOps and ITSM automation. The part I enjoy most is creating software that gives engineers more time to solve meaningful problems instead of repetitive operational tasks. What I enjoy most about software engineering is combining startup product thinking with the discipline of enterprise engineering. I believe AI creates the most value when it's designed as a dependable part of the software architecture, not as a standalone feature. My focus is on building reliable, scalable, and maintainable software that continues delivering value long after it's deployed. I'm particularly interested in solving software engineering challenges involving AI platforms, distributed systems, backend engineering, and intelligent automation. Whether it's modernizing enterprise platforms, designing scalable services, or bringing AI into production software, I enjoy building systems that are practical, resilient, and solve real business problems. I'm always happy to connect with engineers, founders, and technology leaders building the next generation of intelligent software. If you're working on production AI systems, scalable backend platforms, or enterprise software, or looking for engineers who combine strong software engineering fundamentals with practical AI expertise, I'd love to connect. 📩 sreeharshapolepalli@gmail.com

Location

Greater Bengaluru Area

AI stack

claude code

github copilot

langchain

langgraph

openai

opencode

Work experience

AI Software Development Engineer at Hewlett Packard Enterprise, Aug 2025 - Present · 1 yr 1 mo, Bengaluru, Engineering production-grade AI software systems, distributed backend services, and cloud-native platforms that automate complex enterprise engineering workflows as part of HPE's Emerging Technologies Team. · Architect and deliver 8+ Kubernetes-native microservices for scalable, resilient enterprise AI platforms. · Design and develop AI-powered workflow automation capabilities that integrate intelligent decision support into enterprise software systems, reducing manual operational effort by 42%. · Design MLOps pipelines for multiple AI models, enabling deployment, monitoring, versioning, and lifecycle management across hybrid cloud environments. · Develop AI-driven automation for Datacenter Sustainability initiatives, improving infrastructure visibility and operational insights while reducing manual analysis by 21 engineering hours per week. · Modernize legacy enterprise applications by migrating 13 backend services and databases to modern architectures, improving scalability, maintainability, and long-term platform reliability. · Develop Slack-based human-in-the-loop (HITL) AI workflows that enable engineers to review, refine, and execute AI-assisted operational actions. · Partner with software, cloud, and platform engineering teams to deliver scalable AI-enabled platforms using modern software engineering, DevOps, and cloud-native practices.

Software Engineer at GTM4Health, Mar 2024 - Present · 2 yrs 6 mos, Internship extended into a long-term engineering role in recognition of consistent performance, technical ownership, and business impact. • Designed and developed full-stack SaaS capabilities supporting a healthcare technology platform used by 220+ organizations, delivering scalable solutions for hospitals, healthcare startups and enterprise customers. • Partnered with engineering, product, and business stakeholders to deliver real-time analytics capabilities and ERP solutions supporting the critical operations of 500+ organizations. • Designed and implemented scalable microservices that improved platform performance, maintainability, and feature delivery, reducing response times by 45%. • Redesigned and fine-tuned the administration portal by modernizing 15+ administrative workflows, enhancing RBAC, subscription management, and automated data management for enterprise customers. • Contributed to 750+ production deployments by improving CI/CD pipelines, release automation, and deployment reliability across the software delivery lifecycle. • Developed real-time analytics dashboards, sales reporting tools, and operational insights that enabled healthcare organizations to make faster, data-driven business decisions. • Delivered customer-facing features through Agile development, collaborating across engineering, QA, and product teams to deliver reliable production software.

Software Engineer at Hewlett Packard Enterprise, Feb 2025 - Aug 2025 · 7 mos, On-site, · Automated infrastructure provisioning and deployment workflows using Ansible by developing 7 reusable playbooks, improving consistency and operational efficiency across enterprise environments. · Developed multiple containerized backend services using Docker and Kubernetes to support scalable cloud-native application deployment. · Designed and validated cloud-native solutions across AWS, Azure, and HPE GreenLake, supporting resilient and scalable enterprise workloads. · Configured secure Linux environments using RHEL, SELinux, ACLs, and networking best practices to strengthen infrastructure security and reliability. · Built an AI-powered ITOC automation solution that automated operational workflows, accelerated incident response, and reduced triage time by over 60%, improving engineering productivity. · Built backend components and automation workflows supporting AI-assisted incident analysis, operational insights, and engineering productivity improvements. · Collaborated with software, cloud, and platform engineering teams to integrate AI-driven automation into enterprise operations while following Agile and DevOps engineering practices.

Full Stack Engineer at GTM4Health, Aug 2023 - Mar 2024 · 8 mos, Internship extended following successful delivery of product features and continued ownership of full-stack development initiatives. · Delivered 24+ customer-facing features, improving application responsiveness by 45% while enhancing the overall user experience across the healthcare SaaS platform. · Built secure full-stack applications using the MERN stack with JWT authentication and role-based access control from scratch. · Redesigned core workflows and UI components, contributing to a 20% improvement in user satisfaction. · Developed API monitoring dashboards that improved operational visibility and contributed to a 15% increase in platform uptime. · Improved production quality through comprehensive manual and automated testing, reducing post-release bug reports by 50%. · Collaborated closely with product managers, designers, and engineers to rapidly iterate on customer feedback and deliver production-ready features.

Software Engineer at GTM4Health, Jun 2023 - Aug 2023 · 3 mos, Selected for continued internship based on strong technical contributions and performance. • Built frontend components and backend APIs using the MERN stack. • Developed secure authentication and session management features using JWT. • Implemented reusable UI components and RESTful services supporting rapid product development. • Participated in debugging, testing, and deployment activities to improve production stability. • Collaborated directly with senior engineers and the CEO to deliver customer-facing features in Agile development cycles.

Head of Mathematics at Shunya, May 2023 - Jan 2025 · 1 yr 9 mos, I lead and manage projects, initiatives, and teams in the mathematical domain, collaborating closely with skilled math team. Together, we organize and facilitate hackathons and workshops, delivering challenging, relevant, and engaging mathematical experiences. We foster creativity and problem-solving, enabling participants to tackle complex scenarios effectively and driving engagement and innovation across our events.

Head of Event Management at Shunya, Jan 2023 - Jan 2025 · 2 yrs 1 mo, I lead a dedicated team to plan and organize impactful hackathons and ideation events. Working closely with my team, I ensure seamless execution through meticulous planning and adaptability, achieving outstanding outcomes aligned with our goals and fostering collaboration at every step.

Technical Lead at Predict This!, Aug 2022 - Jan 2025 · 2 yrs 6 mos, Leading a collaborative technical team, I design and curate engaging problem statements for datathons. Together, we embed analytical rigor and technical creativity into our challenges, ensuring participants are inspired to innovate while gaining practical learning opportunities.

Events Lead at HELPR - Humanitarian Club of PES, Aug 2022 - Jan 2025 · 2 yrs 6 mos, I work with a passionate team to organize, coordinate, and execute humanitarian events that align with our mission. By leveraging effective communication and project management skills, we exceed expectations and create meaningful impact through our initiatives.

Domain of Mathematics at Shunya, Aug 2022 - Mar 2023 · 8 mos, As part of the mathematics domain, I collaborated with peers to design and integrate technical and mathematical challenges into hackathons. Our efforts focused on fostering innovation and problem-solving among participants, ensuring high-quality and engaging experiences.

AI-ML Domain at Predict This!, Dec 2021 - Nov 2024 · 3 yrs, I collaborate with the AI-ML team to organize datathons, workshops, and events on topics related to Artificial Intelligence and Machine Learning. We provide hands-on learning opportunities for participants, enabling them to develop critical skills and explore innovative solutions in a rapidly evolving field.

Education

Bachelor of Technology - BTech, Computer Science & Engineering, PES University

CBSE, Sri Chaitanya College of Education

Public links

github: https://github.com/Sree-Harsha-PS

sreeharsha.is-a.dev: https://sreeharsha.is-a.dev/