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Rajender Naik Gugulothu - AI Product Manager

[email protected]

Location: Frisco, Texas, USA

Relocation: Yes

Visa: H1B

Resume file: Rajender_G_AI_PM_Resume_1782487405920.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

Rajender Naik G Frisco, TX | (551) 208-2001 | [email protected] | LinkedIn | GitHub SUMMARY AI Product Manager and builder-PM who moves from PRD to production. 3+ years shipping AI features end-to-end RAG pipelines, LLM eval frameworks, agentic workflows with full ownership of discovery, roadmap, KPIs, and engineering. Founded and shipped FNA App, a financial-advisor SaaS, as sole PM and engineer. AI-native by default: Claude, Cursor, and Claude Code are daily tools across discovery, drafting, and shipping. Seeking AI PM roles where engineering depth sharpens every product decision. SKILLS AI Product: LLM Evaluation Frameworks, Hallucination & Bias Testing, RAG, Vector Embeddings, Agentic Workflows, Prompt Engineering, Human-in-the-Loop Design, Responsible AI, Multi-model Orchestration Product Management: PRDs, Roadmap Ownership, Customer Discovery Interviews, RICE Prioritization, KPI Definition (Activation, Retention, Engagement), A/B Testing, Go-to-Market, Release Planning AI-Native Tools: Claude, Claude Code, Cursor, GitHub Copilot, ChatGPT, OpenAI Codex, Replit, v0, Lovable, Bolt, Figma Make Technical: Python, TypeScript, JavaScript, SQL, FastAPI, React, Node.js, GraphQL, REST APIs, PostgreSQL, AWS (Lambda, S3, RDS, API Gateway), Docker, GitHub Actions, LangChain, LangGraph Analytics & Collaboration: Amplitude, Mixpanel, Jira, Linear, Asana, Confluence, Smartsheet, Notion, Figma, Tableau WORK EXPERIENCE Vitharka Inc Jan 2024 Present AI Software Engineer Frisco, TX Product Ownership Founded and shipped FNA App, a financial-advisor SaaS, as sole PM and engineer: owned discovery, PRDs (drafted and maintained in Notion and Confluence), roadmap, KPI definition (activation, retention cohorts, engagement), and engineering from architecture through production deployment. Led product discovery and reframed roadmaps when stated requests didn t match real pain surfaced that advisors were re-checking AI outputs in spreadsheets due to a trust gap, prioritized eval visibility first, and eliminated the manual re-check workflow entirely. Wrote PRDs and measurable acceptance criteria for every AI feature; ran Agile sprint planning, Scrum ceremonies, and backlog grooming in Jira and Linear, made deliberate scope calls when timelines tightened, prioritizing highest-impact slices and reducing feature-delivery cycles by 30%. Defined the LLM evaluation framework as the release gate for AI features replaced subjective demo-based reviews with repeatable scoring across relevance, hallucination rate, tone, and advisor-facing content safety; cut pre-release QA cycles by 20% and unblocked confident model and prompt updates. Partnered with design in Figma on user flows and UI specs; tracked cross-functional work and stakeholder updates in Asana, keeping discovery, design, and engineering aligned through every release. Engineering Delivery Architected production RAG pipelines on FastAPI + LangChain + AWS; tuned chunking strategy, embedding model selection, and top-k ranking against representative query sets to reduce out-of-scope hallucinations and lift answer quality to a ship-ready bar. Built LLM evaluation framework from scratch: deterministic graders for format and factual constraints plus LLM-as-judge rubrics scored on a 5-point relevance scale; A/B tested prompt variants and embedding strategies against held-out query sets, selecting production configurations on win-rate across relevance and hallucination metrics. Built full-stack applications supporting AI features (React/TypeScript, Node.js, GraphQL, PostgreSQL with OAuth2/OIDC) including operational dashboards with action queues and drill-down reporting. Owned CI/CD on GitHub Actions + Docker + AWS and partnered with privacy and security on SOC2-aligned data classification, RBAC, and hallucination mitigation; maintained 99.5%+ uptime in production. Foinix Software Services Pvt Ltd Nov 2021 Dec 2022 Software Engineer Hyderabad, India Partnered with the analytics team to gather data ingestion requirements, scope edge cases, and prioritize validation logic worked from problem definition rather than spec hand-off, an early signal of the product-ownership pattern carried forward into AI PM work. Built REST APIs in Python and SQL integrated with React frontends across internal tools and client deliverables; designed validated data ingestion pipelines (CSV, Excel, relational) reducing manual processing effort for the analytics team. Optimized SQL queries and indexing for 20% performance gains; automated recurring reports via Python and SQL procedures, cutting generation time by 40%. PROJECTS ListingLaunch AI Marketing Automation for Solo Realtors | Product Owner Product-owning AI SaaS that converts a new listing into a complete branded marketing kit in under 60 minutes MLS description, social calendar, email blast, landing page, and print-ready flyer powered by LLM copy generation and image automation pipelines. Ran customer discovery with DFW solo agents; completed market and competitive analysis; wrote PRD and pricing model; defined time-to-first-kit and activation rate as primary KPIs, targeting agents doing 6 to 20 deals per year. Advora AI Content Automation for Financial Advisors | Founder & Product Owner Built end-to-end SaaS that turns the daily Instagram-posting problem for financial advisors into a single WhatsApp tap: GPT-4o-mini drafts caption + hashtags across 200+ finance topics, DALL E 3 generates the visual, advisor approves or regenerates from their phone, and Instagram Graph API publishes with a self-improving loop that re-ranks content themes against 24h / 72h / 7d engagement data per advisor. Owned the full product surface as founder: defined the human-in-the-loop approval pattern as the trust mechanism for compliance-sensitive posting, scoped a mobile-first Next.js dashboard (drafts, analytics, scheduling, Instagram OAuth), and made deliberate calls on encrypted token storage, Supabase RLS, and Meta OAuth 2.0 to ship a production-grade footprint instead of a demo. UrbanCountry Realty CRM & AI Review Automation Built production CRM (React + Laravel) covering listing management, client tracking, and broker analytics; added LLM-powered review automation that drafts responses to incoming customer reviews, cutting response turnaround time for the brokerage team. EDUCATION Master of Science, Business Analytics | Saint Peter s University, Jersey City, NJ Feb 2023 Nov 2024 Bachelor of Arts, Economics | Kakatiya University, Warangal, India May 2019 Keywords: continuous integration continuous deployment quality analyst artificial intelligence user interface javascript sthree golang New Jersey Texas