Managed the end-to-end delivery of a SaaS-based Fleet Management Platform as a Project Manager, overseeing the complete project lifecycle from requirements gathering and planning through development, testing, deployment, and implementation. Managed the development and delivery of a scalable multi-client, white-label solution, enabling businesses to use the fleet management platform under their own branding and business identity. Coordinated cross-functional teams and managed project scope, requirements, timelines, priorities, technical dependencies, deliverables, testing, issue resolution, and stakeholder communication. Oversaw the configuration and customization of the platform for different business requirements while maintaining the core SaaS architecture and product consistency. Managed release planning, quality assurance, deployment coordination, and overall project governance to ensure successful and timely delivery.
Seeking: Project Manager · GTM Consultant · Business Analyst
I am an IT and technology professional with 9+ years of experience across software development, IT consulting, business analysis, project management, product management, digital transformation, and AI workflows. I work at the intersection of technology, business, products, and AI—translating business requirements into practical solutions, managing end-to-end product delivery, and improving operational efficiency. My experience includes Go-to-Market (GTM) planning and execution, product launch coordination, client onboarding, customer engagement, product demonstrations, stakeholder management, and cross-functional delivery. I have contributed to 40+ SaaS, web, and mobile projects, collaborating with development, UI/UX, QA, business, and client teams across the product lifecycle. I also have hands-on experience in AI model evaluation, data annotation, model comparison, LLM response evaluation, and AI failure analysis. My work includes evaluating AI-generated outputs against structured criteria, identifying failure patterns, detecting factual errors and hallucinations, assessing instruction following and reasoning, and creating evidence-based evaluation rationales. Key AI capabilities: • LLM/AI response evaluation and ranking • AI failure-mode identification and analysis • Data annotation and quality review • Hallucination and factual-error detection • Instruction-following and reasoning evaluation • Evidence-based evaluation and QA • Multimodal AI workflows involving text, audio, and visual content My approach is practical and evidence-driven: understand the objective, apply defined criteria, validate evidence, avoid unsupported assumptions, and deliver consistent, defensible outcomes. I am interested in opportunities across GTM Operations, Product Operations, Business Analysis, Digital Transformation, Generative AI, LLM Evaluation, AI Quality & Validation, AI Training Data, Data Annotation, Prompt Evaluation, and Multimodal AI.
Member Since
September 9, 2026
Last Active
2 days ago