Aditya
Kulkarni
Technical Program Manager driving end-to-end execution across engineering, infrastructure, and product teams.
Who I Am
I'm a Technical Program Manager with a CS foundation — bridging the gap between engineering complexity and strategic execution in distributed, high-stakes environments.
At Spectrum, I own full accountability across the SDLC — build to production — managing concurrent workstreams and communicating technical trade-offs at the executive level.
My research background in IoT systems and real-time data pipelines gives me the depth to speak fluently with both engineers and stakeholders at every level of an organization.
Where I've Worked
- Led the design and deployment of enterprise AI systems for SDLC automation, enabling engineers to automate test case generation and impact analysis across workflows.
- Ensured system reliability in production by identifying and resolving data inconsistencies, pipeline failures, and performance bottlenecks, while implementing validation and monitoring mechanisms.
- Partnered with engineers and architects to design end-to-end system workflows, including data ingestion pipelines, embedding generation, and retrieval layers for LLM-based applications.
- Coordinated cross-functional stakeholders (engineering, PMO, architecture, and vendors) to operationalize AI capabilities across SDIT teams while managing the end-to-end release lifecycle from requirements intake through validation and production readiness.
- Improved engineering efficiency and reduced manual effort by automating key SDLC workflows, enabling faster development cycles and improved decision-making.
- Managed Agile execution in Jira — defined user stories with acceptance criteria, prioritized backlogs by impact, tracked sprint velocity, and coordinated bi-weekly release cycles end-to-end.
- Aligned sprint goals to product roadmap, ran planning and refinement sessions, and maintained delivery schedules across concurrent release workstreams.
- Designed distributed message broker systems for IoT devices using Python and Kafka — improved data transmission efficiency 30%, reduced latency 40%, and increased system responsiveness 25%.
- Developed real-time data streaming systems using asynchronous programming and WebSockets to support high-throughput infrastructure workloads and scalability goals.
Selected Work
Tools & Expertise
Credentials & Certs
Academic Background
Let's Connect
Open to TPM, program management, and technical leadership roles — especially in defense, infrastructure, and AI/data-intensive environments.