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A product-minded technologist with 4+ years of experience spanning product ownership, requirements gathering, agile and waterfall delivery, and hands-on AI/ML engineering. He combines end-to-end product lifecycle ownership with applied expertise in NLP, LLM APIs, prompt engineering, and AI-powered products that turn complex findings into clear natural-language output.
Skills
Experience
Product Owner (Founder) — TinyTinyEvents.com
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Defined the product vision and requirements for an AI-powered event discovery platform, then translated user needs into concrete features covering AI-driven data extraction, a human verification workflow, and public event listings. Owned the full lifecycle from concept through public launch: scoping the MVP, prioritizing the development roadmap, coordinating implementation, and managing milestones to ship on schedule. Set up feedback loops with early users after launch and used that input to continuously refine the extraction accuracy and the verification workflow.
Product Owner (Founder) — NXT-Action.com
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Defined the product vision for an AI-powered brand clearance tool: a user enters a brand name idea and the product checks domain availability, scans trademark databases, and searches company registries across jurisdictions. Translated that raw, multi-source data into a prioritized feature roadmap, including the AI layer that synthesizes findings into a plain-English risk score, summary, and recommended action plan in under a minute. Attracted close to 100 early visitors across 8 countries (US, Germany, Bangladesh, Pakistan, Armenia, UK, Azerbaijan, Kyrgyzstan, Australia) within the first weeks of launch, using analytics to track traction and inform iteration. Coordinated implementation with engineering end to end and iterated the product based on usage patterns and user feedback.
AI Intern — iMouse GmbH
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Designed the annotation methodology for a computer vision product from the conceptual stage, defining how to label multiple dimensions per subject within a single frame in a way that stayed consistent across annotators and tractable at volume. Carried out a significant share of the annotation work directly, giving ground-level insight into where the schema held up and where it needed revision. Contributed to a proof-of-concept alerting platform surfacing noteworthy events to researchers, focusing on the user-facing design and how the tool would be used. Worked closely with engineering and research stakeholders holding different views on scope and priorities, consistently acting as the translator between the two sides. Documented data labelling standards and workflows using Roboflow and CVAT so the annotation process could scale beyond one person.
Technology Specialist — Infinite Variable Pvt. Ltd.
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Gathered requirements and wrote user stories for features on an event management platform, from early planning through launch. Broke down feature work into tasks and supported sprint planning and prioritization with the engineering team using agile methods. Acted as the day-to-day bridge between technical and non-technical teams, keeping stakeholders aligned on scope, priorities, and progress. Ran market and competitive analysis to help shape product direction and roadmap input and supported MVP planning by weighing scope against delivery timelines. Wrote documentation including feature specifications, API notes, and how-to guides that made handoffs between teams smoother.
Technology Head — RoboticsDNA
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Led a 5-person cross-functional team through building and launching an e-commerce platform, prioritizing features against timeline and resourcing constraints under a Waterfall/Agile hybrid process. Gathered user and support feedback to identify friction points, then fed that back into product and process changes, cutting issue resolution time by 25% by redesigning how support requests were triaged and handled. Used data analysis to identify and fix process bottlenecks across the support and fulfilment workflow.
Featured projects
LLM Financial Statement Copilot
LLM · Prompt Engineering · Natural-Language Report Generation
Combined LLM reasoning with baseline models to explain what is driving a company's financials; designed and evaluated prompts for output reliability.
House of Hackers
Founded a builder community in Berlin bringing engineers, designers, and founders together to ship real projects in public, in 30-day sprints.
Education
IU International University of Applied Sciences — M.Sc., Artificial Intelligence
PVPIT — B.E., Electronics and Telecommunications
Rahul Bedjavalge lists Agile, Annotation Schema Design, AWS, Backlog Management, Computer Vision Data Pipelines, CVAT, Docker, Exploratory Data Analysis, FastAPI, Feature Prioritization, Git, JavaScript, Jira, LLM APIs, Milestone Tracking, Model Evaluation, MVP Planning, n8n, Natural-Language Report Generation, NLP, NumPy, Pandas, Product Vision, Prompt Engineering, Python, Requirements Gathering, REST APIs, Roadmap Planning, Roboflow, SQL, Stakeholder Management, User Stories, Waterfall as professional skills.
Rahul Bedjavalge has experience in Product Owner (Founder), AI Intern, Technology Specialist, Technology Head across organizations including TinyTinyEvents.com, NXT-Action.com, iMouse GmbH, Infinite Variable Pvt. Ltd., RoboticsDNA.
Rahul Bedjavalge is AI Product Manager, 4 years of experience, with expertise in Agile, Annotation Schema Design, AWS, Backlog Management, Computer Vision Data Pipelines, CVAT, Docker, Exploratory Data Analysis, FastAPI, Feature Prioritization, Git, JavaScript.
Relevant searches: AI Product Manager · Product Vision Requirements Gathering User Stories
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