Description

I help founders and product teams turn raw ideas into lean, validated MVPs – without wasting time or budget. With a background in product management and software engineering, I’ve built a peer-to-peer platform from scratch (18% landing page conversion, 112+ organic signups) and led an ML-powered demand forecasting tool that saved $1M annually.

I specialize in customer discovery (27+ user interviews), Python automation, data-driven roadmaps, and crisp PRDs that align engineering, design, and business goals. Whether you need an MVP shipped, workflows automated, or user research translated into action, I bridge the gap between “what if” and “what works.”

Domaines d’expertise

Langues

Anglais
Bilingue ou natif
Hindi
Bilingue ou natif
Télougou
Capacité professionnelle complète
Français
Notions

Préférences en matière de lieu de travail

Accepte de travailler sur site

Lyon (jusqu’à 50 km)

Campus Voices
Founder & Product Builder (Remote)
janvier 2026 - Aujourd'hui (6 mois)
Lyon, France
• • Founded a B2C peer-to-peer platform connecting prospective students with university peers, managing end-to-end product development from initial problem identification through MVP launch.
• • Drove customer discovery by conducting 27+ user interviews and surveying 84+ prospects, translating qualitative research insights into a prioritized product roadmap and core value proposition.
• • Shipped a lean MVP using hypothesis-driven prioritization to descope complex features, successfully validating core user demand and achieving an 18% landing page conversion rate with zero paid spend.
• • Grew platform to 112+ organic signups by executing targeted distribution experiments across 15+ Reddit and Discord student communities, iteratively refining messaging based on funnel performance data.
Ittiam Systems
Software Engineer
juillet 2022 - février 2024 (1 an et 7 mois)
Bengaluru, Karnataka, India
• • Led product vision and end-to-end delivery for an ML-powered demand forecasting platform, converting senior leadership needs into technical specs, KPI dashboards, and workflows for 50+ global audio chip and DSP programs.
• • Directed stakeholder discovery across business operations and engineering, managing delivery risk and cross-team dependencies to align feature sets with critical capital planning cycles.
• • Prioritized and shipped capacity simulations that achieved 90% resource prediction accuracy, contributing to $1 M in annual infrastructure savings and cutting capital planning cycle times in half.
• • Coordinated cross-site transitions as the operational layer between 10+ engineering teams, automating workflows via Python/Perl to reduce manual overhead and cut SCM operation times by 50%.
• • Managed technical infrastructure risk by driving the migration of 50+ Dockerized applications to a private registry with zero active pipeline disruption.
Goldman Sachs
Technology Intern
janvier 2022 - juin 2022 (5 mois)
Bengaluru, Karnataka, India
• • Automated CI/CD pipelines and backend workflows using Python, boosting system efficiency by 50% and significantly reducing manual operational tasks.
• • Collaborated with cross-functional stakeholders to translate deep technical insights into strategic business decisions, ensuring absolute alignment between engineering execution and business goals.
• • Authored Product Requirement Documents (PRDs) and core best-practice documentation, directly accelerating development cycles and facilitating smoother stakeholder sign-offs.