Srikar Desu

> Building an AI-native application, translating fuzzy research capabilities into a shippable roadmap, I had to bridge the gap between what the model can do and what users actually need
> Creating intuitions around AI-UX design patterns: managing latency perception, streaming outputs, handling model errors gracefully and building trust through transparent, explainable interfaces
> Was building multimodal feature scoping (text, image, and document understanding), working closely with ML engineers to define evaluation criteria and acceptable failure modes
> Worked hands-on with model economics specifically of that in singapore to balance context window costs, token budgets, and inference latency to make production AI features economically viable at scale
> Prototyped and pressure-tested AI workflows with internal users, rapidly iterating on prompt architecture and chaining strategies before committing engineering bandwidth to full builds
> Along with my learning I was also strategizing the production AI deployment: fallback strategies, model versioning, prompt regression testing, and rollout gating for non-deterministic systems
> Was developing a broader AI vendor landscape evaluating trade-offs across frontier models, open-source alternatives, and fine-tuning costs to inform build-vs-buy decisions

Tools: Miro, Productboard, Sprig, Mixpnael, OpenAPI, Power BI, Zendesk, ServiceNow, Snowflake, Azure, GCP, Jira Product Discovery, Notion, Asana, Lovable

> Oversaw end-to-end SDLC product development for 5 different applications serving customers in US and UK
> Responsible for aligning LOB leaders and engineering teams on decisions with Matrix Management structure and tactical iteration planning cycles
> Leading the R&D activity for the data and cloud services products to spearhead quantitative market analysis for increasing sales by 24% and LOB's response to change by 60%
> Developed roadmaps for all teams and projects to reach predictive velocities. Drove resurrection strategy to bring all dormant users back to platform, reaching 90% users, retaining 70% of them. Securing 15 approvals across different teams to create a platform for other teams to replicate
> Representing the company in technical meetings with vendors post building complex platform-focused products with broad reach, both internally (product development and GTM teams) and externally (by owning and managing an Agency Console product backlog, prioritizing workstreams across new features, technical debt, operational support and bug resolution
> Budgeting and allocating resources to a project. Increasing CRR to 90% with 30% of the previously allocated resources contributing to 50% of the LOB's quarterly engagement target

> Analyze RFPs, build user-facing tools (self-serve analytics, copilots, dashboards), while owing high-impact use cases (benchmarks, pricing intelligence, KPIs)

> Defining product strategy: positioning, ICP definition, feature prioritization, competitive differentiation, quarterly and annual planning, release sequencing, scope discipline.

Skills: BoD communication, Feedback Management, Facts-based prioritization, feature specs creation, product roadmapping, pipeline development, OKR tracking, GIST, PRD, MVP, Wireframing, Architecture Design, Feature maps, PMF, A/B testing, UX, Disruptive Innovation, Pivot, SaaS, B2B, B2C, KYC

Tools: MixPanel, Google Analytics, JIRA, diagram.net, Sprig, PagerDuty, AWS, Splunk, SQL, Postman, API Testing, Confluence, Apptio, Chisel, Trello, Tableau, Productboard, Google Analytics, Datadog, ServiceNow, Snowflake, DBVisualizer, Datadog, 7Ps Testing, Python, Figma, Asana, Aha, ProPod

> Prioritize the Product Backlog to maximize business and customer outcomes by balancing technical and non-technical aspects while also incorporating cyber and operational risk reduction outcomes and activities
> Utilize strong background in PKI, encryption algorithms, data protection products and practices in public cloud and customer research and insights to represent the voice of the customer to the engineering team
> API management for clients and GTM teams by validating product hypotheses through rapid experimentation and user feedback loops
> As Cybersecurity lead enforcing project plan, allocating JIRA tasks, understanding the complexity and assigning to the correct skillset associate, innovating enterprise architecture to meet business and software development needs to remediate static vulnerabilities for applications.
> Work with architects to design the network security infrastructure in AWS, Azure cloud platform services and onboarding legacy applications
> Lead to shape and maintain the solution blueprint, aligning business intent, user needs and technical feasibility across incubation stages (PoC, MVP, pilot, beta)