Alam Baig

❖ Define and execute the product vision and roadmap for the Botminds Agentic AI platform — combining document
understanding, intelligent automation, and conversational AI in a unified environment.
❖ Architect a No-Code / Low-Code ecosystem that empowers users to design, train, and deploy AI agents, workflows, and
APIs seamlessly.
❖ Drive the integration of advanced AI technologies — including Machine Learning, Deep Neural Networks (DNN),
NLP, and Reinforcement Learning — to enhance platform intelligence.
❖ Collaborate cross-functionally with engineering, data science, and design teams to deliver scalable AI-powered automation
capabilities for enterprise clients.
❖ Establish a modular product architecture that supports multi-agent orchestration, real-time data extraction, and self
learning AI models.
❖ Lead AI governance, model evaluation, and performance optimization to ensure transparency, accuracy, and ethical AI
compliance.
❖ Engage directly with enterprise customers to capture use cases, validate prototypes, and ensure strong product-market fit
across industries such as banking, healthcare, and retail.
❖ Evangelize the Botminds.ai platform in industry forums, driving awareness of Agentic AI, LLM integration, and
autonomous AI workflow automation.
❖ Define and execute the multi-year product roadmap for Botminds Agentic AI Platform, aligned with business
objectives and market opportunities.
❖ Lead Agile product development cycles, driving sprint planning, backlog prioritization, and cross-functional
collaboration between engineering, data science, and design teams.
❖ Architect and evolve a No-Code / Low-Code platform that enables rapid AI solution creation, workflow automation, and
seamless integration with enterprise systems.
❖ Integrate advanced AI models — including ML pipelines, deep neural networks, transformer models, and
generative AI to enhance intelligence and automation capabilities.
❖ Collaborate with enterprise customers to validate product-market fit, gather feedback, and shape scalable AI-led use
cases across industries such as BFSI, healthcare, and retail.

❖ Led end-to-end development of AI/ML-driven e-commerce and supply chain platforms, aligning product vision with business
goals to drive growth, efficiency, and customer satisfaction.
❖ Defined and executed product roadmaps incorporating GenAI prompt engineering (GenAI Prompt User Stories)
AI model lifecycle, and features prioritization based on user feedback, market trends, and business value.
❖ Built and deployed AI/ML supply chain products using AWS Lambda, DynamoDB, AWS Secrets Manager, and modern stacks
including Python, ReactJS, Next.js, leveraging supervised ML algorithms such as Linear Regression for predictive analytics.
❖ Championed the adoption of Generative AI (GenAI), Agentic AI, and foundational ML models across product lines, achieving
faster release cycles, improved user experience, and intelligent automation.
❖ Mentored cross-functional teams including AI Product Managers, ML engineers, designers, and developers, fostering a high
performance culture and delivering on sprint goals.
❖ Collaborated with stakeholders across marketing, UX/UI, engineering, and data science to ensure seamless execution of AI
enhanced product strategies.
❖ Managed the entire product lifecycle, from ideation and MVP definition to production deployment and iterative optimization
using data-driven insights and model feedback loops.
❖ Oversaw budget planning and ROI tracking, ensuring cost-effective development and measurable impact of AI/ML features on
product performance and business KPIs.

❖ Build the Product Roadmap strategic direction of product development for British Telecom ( BT ), emphasizing the creation
of exceptional customer experiences for both individual consumers and commercial clients
❖ Developed and established functional strategy and Product Vision to ensure successful completion of work that meets
Business expectations.
❖ Build relationships and work closely with other product managers, CIO and engineering teams to provide and prioritize
Product requirements
❖ Work closely with Marketing team to build release themes, product strategy, and GTM ( Go-To-Market ) plans
❖ Ensure that everyone, from engineers to stakeholders, is on the same page regarding product priorities and timelines
❖ Collaborate closely with cross-functional teams or Squads, such as Engineering, Discovery, Design, and Business, to achieve
❖ Collaborate closely with cross-functional teams or Squads, such as Networking Engineering, Discovery & Design of HLD
and LLD architecture NaaS design, and Business, to achieve agreed OKRs & KPIs for PIs (Product Increments)
❖ Advocate for a user-centric approach by actively seeking user feedback, validating MVP and Figma Design and analysing data
to ensure with customer needs.
❖ Possess a track record of delivering successful products, involving tasks such as crafting vision and strategy, developing
outcome-focused product roadmaps, and overseeing backlog creation and management.

❖ Spearheaded the development of the strategic product roadmap for Cargill s AI-powered digital platforms, driving
exceptional customer experiences across B2C and B2B segments through advanced technologies like LLMs, deep learning, and
neural networks.
❖ Defined and implemented a future-ready product vision using insights derived from deep neural networks and LLM-based
analysis, aligning initiatives with business transformation goals.
❖ Collaborated with CIO, engineering, and product leaders to design and prioritize features that leveraged transformer
based architectures, contextual embeddings, and AI-driven personalization for telecom self-service experiences.
❖ Developed and validated use cases involving LLM-powered chat interfaces, smart assistants, and predictive resolution flows
to streamline customer journeys and reduce operational costs.
❖ Partnered with Marketing and GTM teams to position AI-enabled offerings, incorporating AI/ML insights, dynamic
recommendation systems, and natural language understanding (NLU) for hyper-personalized user engagement.
❖ Drove execution through Agile product development, defining epics and user stories enriched with LLM capabilities,
managing sprints, and tracking value delivery across Product Increments (PIs) and quarterly OKRs.
❖ Collaborated with MLOps teams on SaaS platform architecture, incorporating LLM APIs, deep learning pipelines, and scalable
microservices in HLD/LLD design.
❖ Advocated for a data- and user-centric approach, validating MVPs and GenAI-enhanced Figma designs, running iterative
feedback loops, and applying neural network models for behavioral analysis and intelligent automation.
❖ Successfully delivered high-impact digital products by leading product lifecycle stages — from vision and research to AI-first
MVP delivery, backlog management, and post-launch optimization driven by deep learning analytics.
❖ Provided executive-level product reporting and roadmap visibility to CXOs and board stakeholders, translating complex
AI/tech strategies into business outcomes, and influencing enterprise investment decisions in AI-first digital transformation.

❖ Led 4 engineering feature teams (40+ Developers & SDETs) in building a predictive pricing SaaS platform for Dells B2B and
B2C customers using commercial data analytics, behavioral insights, and multi-source ecosystem inputs.
❖ Directed architecture and development of a dynamic pricing & billing system using modern stacks: Python, Node.js, Angular
8, Java/J2EE, Kafka, MongoDB, Redis, Elasticsearch (ELK), Splunk, and CI/CD tools (GitLab, Jenkins, Docker).
❖ Owned and prioritized the product backlog, aligning features with evolving customer needs and release milestones through
Agile and iterative delivery.
❖ Reviewed and approved event-driven HLDs and microservices architectures, ensuring system scalability and performance in
Dells high-volume commerce environment.
❖ Created and validated MVPs based on detailed Product Requirement Documents (PRDs), collaborating closely with customers,
stakeholders, and delivery teams.
❖ Managed the complete product development lifecycle — from initiation, scoping, estimation, solutioning, backlog grooming, to
release planning and feedback integration.
❖ Coordinated with cross-functional teams (engineering, QA, DevOps, data) to streamline technical dependencies and optimize
sprint delivery velocity.
❖ Defined and tracked product success metrics (KPI dashboards) including adoption rate, churn rate, NPS, API latency, and
product stability, ensuring data-driven improvements.
❖ Conducted quantitative technical performance reviews, analyzed post-release data, and produced actionable insights for
roadmap refinement and feature tuning.
❖ Oversaw release readiness, including UAT signoff, documentation, production support, and warranty handling for each
product iteration

❖ Led an engineering team of 10 developers to design and deliver a SaaS-based Shipment & Tracking application for the
mobility segment across mobile and web platforms.
❖ Developed a cargo shipment solution with features like real-time tracking and route optimization, using technologies such as
Java, Node.js, Angular, Google Cloud Platform (GCP), Google Maps API, and Socket.io, resulting in a 30% reduction in
transportation costs.
❖ Defined and aligned the product vision and strategy with stakeholders, ensuring agile product development and timely
delivery of high-value features.
❖ Facilitated daily Agile ceremonies (stand-ups, backlog refinement, sprint planning), fostering a high-cadence delivery rhythm
and enhanced team collaboration.
❖ Owned and managed the product backlog, ensuring user stories were clearly defined with up-to-date acceptance criteria
(BDD), prioritization, and grooming in Agile tools (e.g., Jira, Azure Boards).

❖ Facilitated all core Scrum ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews, Retrospectives, and Product
Backlog Refinement, ensuring adherence to Agile best practices.
❖ Managed the end-to-end Scrum process, tracking team KPIs such as sprint velocity, burndown charts, and throughput, while
coordinating across multiple cross-functional teams to mitigate blockers and align deliverables.
❖ Collaborated with business stakeholders and product owners to analyze market trends, define quarterly product roadmaps,
and translate strategic priorities into executable sprint goals and monitored Objectives and Key Results (OKRs)

❖ Designed and documented End-to-End business processes for software development lifecycle phases including DIT, SIT, UAT,
regression testing, A/B testing and release planning.
❖ Managed software development workflows by generating release reports, tracking progress against plans, and ensuring
timely delivery aligned with quality benchmarks.
❖ Translated high-level product strategies into detailed functional requirements to support prototype development and final
product execution, enabling seamless handoff between business and engineering teams.