Akhilesh Sattenapalli

Documented current end-to-end process. Conducted requirement gathering sessions with business stakeholders and data mapping sessions to identify customized fields. Collaborated with the SAP team to customize the tool as per business requirements. Deployed the pilot version of the Ariba tool in partnership with the procurement department. Collaborated with 200 vendors to create Ariba profiles and digitalized the RFP and contract management process.

Collaborated with a business team of 14 stakeholders to elicit, analyze, and document different kinds of requirements such as functional, security, load and performance, warranties, service level agreements, user interface, scalability, configuration, data maintenance, audit log, and support requirements.

Worked with legal to prepare and consolidate RFP documentation (terms and conditions, timelines) and draft contract.

Categorized requirements into mandatory, rated requirements and proposed an evaluation strategy to business teams

Led end-to-end RFP, answered all vendor questions, organized oral demonstrations with vendors, evaluated proposals, negotiated and awarded the contract to vendor.

Acted as the primary contact between business and vendor during project execution and monitored vendor performance against contractually agreed SLA’s.

Stakeholder Alignment Across Parallel Workstreams: Managing a large group of executive stakeholders across legal, operations, and IT—while coordinating multiple cross-functional tech teams working in parallel—created significant dependency conflicts, competing priorities, and decision bottlenecks that threatened delivery timelines.

Established a structured governance model with regular executive steering committee meetings, clear RACI frameworks, and dependency tracking across all parallel workstreams—ensuring alignment at every level without slowing execution.

Successfully delivered a $3 million complex, multi-team program with zero scope derailment, maintaining executive confidence and cross-team momentum throughout delivery.

Breaking apart a legacy monolith into componentized microservices—while coordinating multiple development teams building interdependent services in parallel—created significant architectural complexity, integration risks, and dependency conflicts across three major platforms simultaneously.

Established clear service boundaries, standardized integration contracts between teams, and implemented structured Agile delivery across parallel workstreams—ensuring teams could build independently without breaking interdependencies.

Delivered secure, componentized microservices powering Levi’s eCommerce, retail, and distribution center platforms—eliminating downtime and enabling a clean, scalable architecture across all customer-facing operations.

Building fully native iOS and Android applications simultaneously—while maintaining a consistent user experience, shared business logic, and seamless CRM integration across both platforms—created significant technical and coordination complexity throughout delivery.

Coordinated cross-functional mobile development teams across both platforms, enforced consistent UX standards, and managed parallel workstreams with clear integration checkpoints to ensure parity and quality across iOS and Android.

Successfully delivered native iOS and Android CRM applications on time—putting real-time customer and operational data in the hands of field teams across both platforms.

Technical Complexity of Building Production-ready AI Agents: Integrating RAG architecture, VectorDB, and LangChain into reliable, production-ready agents—each serving a different use case—required deep technical problem-solving with no established blueprint, significant prompt engineering iteration, and careful orchestration of multiple AI components working together.

Designed and built three specialized AI agents from concept to production—a customer-facing chatbot, an audience-aware project status report generator, and a document summarizer—applying hands-on expertise in LangChain, RAG, and VectorDB to deliver consistent, reliable outputs across all three.

Significantly reducing manual effort across customer support, status reporting, and document review, while demonstrating end-to-end technical depth to lead AI projects from concept to production.

• $500,000 — Annual Savings

Client legacy intake processes relied on manual, paper-based, and vendor-dependent workflows that created friction for customers, slowed claims adjudication, and limited the organization’s ability to scale digital service delivery to its provincial user base.

I led end-to-end delivery of a $3+ million portal program from initial roadmap through go-live, coordinating 11+ cross-functional contributors across engineering, legal, security, and external vendors. I drove SAFe-based delivery cadence, chaired SteerCo and Go/No-Go governance forums, and led go-live planning, deployment coordination, and post-launch stabilization to ensure the platform was production-ready on day one.

The portal processed 9,000 regulated form submissions in its first year of operation, establishing a scalable digital channel that replaced manual intake workflows and meaningfully improved customer experience