# Semmal Palanisamy

> Technical Product Manager, AI. Engineer turned PM who ships AI products people trust: GenAI analytics in production for a 3,400-location supply chain, a RAG compliance agent with human review, +22% MRR in two quarters, 15+ products shipped. Bengaluru · Remote (India). Contact: semmal5002@gmail.com.

Every claim below links to a case study with the problem, decisions, trade-offs and outcome. Spec work is labelled as such and claims no results.

## Use this profile

- Check fit for a specific role: open https://semmal.one/, choose "Hiring?" in the navigation and paste a job link, upload the JD (PDF, DOCX, TXT) or paste its text; the work list re-orders around the role and a shareable brief is produced.
- Ask about the work: "Ask" in the navigation answers from the case studies and names its sources.
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- Tailored links: https://semmal.one/?role=<role title>&for=<company>&m=<competency><weight>.<competency><weight> (competency ids: ship, evals, rag, trust, discovery, strategy, metrics, business, platform, leadership, zero).
- Book an intro call: https://calendar.app.google/NMAqk6MvHuGziTRe7
- LinkedIn: https://www.linkedin.com/in/semmal-p · GitHub: https://github.com/semmal-dev
- Everything in one file (profile plus every case study in full): https://semmal.one/llms-full.txt. Each case study is also plain Markdown at https://semmal.one/work/<code>.md, linked below.

## At a glance

- Role: Technical Product Manager, AI
- Experience: 7+ years building software, 5+ in senior software engineer / technical PM roles
- Open to: Senior AI PM & Technical PM roles; Bengaluru, or fully remote
- Best fit for: 0→1 AI / LLM products; AI quality, evals & trust; Platform & integration bets; Growth & monetization features
- Edge: I can build what I spec: prototypes, architecture reviews and eval harnesses, so decisions move at the speed of evidence.

## Case studies

- [PRD-001: GenAI analytics for a 3,400-location supply chain](https://semmal.one/work/prd-001.md) (Shipped, Sep 2025 — present). Shipped a GenAI analytics layer that turns shipment, inventory and fulfillment data into natural-language insights, with a quality bar and validation checks. Outcome: Days → hours operations reporting time; Trusted summaries used without manual re-verification.
- [PRD-002: Compliance Copilot: grounded AI with a human in the loop](https://semmal.one/work/prd-002.md) (Shipped, Oct 2024 — Sep 2025). Architected a RAG agent that extracts and classifies regulatory clauses, handles routine cases autonomously and escalates the risky ones to people. Outcome: ↓ manual compliance-document review time; +50% engineering throughput (AI-assisted docs, standardized PRDs); −30% technical debt, with NPS up (“Stability First” roadmap).
- [PRD-003: Native Zoom integration: +22% MRR in two quarters](https://semmal.one/work/prd-003.md) (Shipped, 2021 — 2024). Owned a native Zoom integration from zero to one, product and engineering. Outcome: +22% MRR within two quarters.
- [PRD-004: Omnify Payments & Credits: a new revenue stream](https://semmal.one/work/prd-004.md) (Shipped, 2021 — 2024). Architected native checkout on Stripe Connect and a wallet-based refund system with fraud-pattern detection. Outcome: New high-margin transaction-fee revenue stream; +18% ARPU / upsell conversion.
- [PRD-005: Enterprise SSO & RBAC: +30% enterprise adoption](https://semmal.one/work/prd-005.md) (Shipped, 2021 — 2024). Built multi-tenant SSO with granular role-based access control. Outcome: +30% enterprise-segment adoption (US & APAC).
- [PRD-006: Activation: −40% onboarding drop-off](https://semmal.one/work/prd-006.md) (Shipped, 2021 — 2024). Used Mixpanel cohort analysis to find the friction, redesigned onboarding, unified support tooling and automated first-response triage. Outcome: −40% activation drop-off; ↑ Day-1 retention; −60% client onboarding time.
- [PRD-007: 15+ products, end to end](https://semmal.one/work/prd-007.md) (Shipped, May 2019 — Jan 2021). Ran discovery, architecture, build and launch for 15+ products; built an inventory-synchronization engine with rules-based demand logic. Outcome: 15+ products shipped end to end; −40% manual operational overhead (retail clients).
- [SPEC-01: Spec: eval-first launch plan for an AI support-triage agent](https://semmal.one/work/spec-01.md) (Spec work (not shipped, no results claimed), Spec · 2026). A launch plan where the eval set, rubric and gates are defined before the prompt is written. Outcome: Spec no shipped metrics: this is a plan, not a result.

## Competencies, with evidence

- Shipped LLM / GenAI products: GenAI analytics layer in production for a 3,400-location supply chain (PRD-001); RAG compliance agent for US K-12 institutions (PRD-002)
- Evals & AI output quality: Defined the accuracy, freshness and traceability bar for AI outputs, plus validation checks (PRD-001); Grounded retrieval kept compliance answers traceable and auditable (PRD-002); Spec: eval-first launch plan for an AI triage agent (SPEC-01)
- RAG, agents & tool use: Architected a RAG agent with agentic, function-calling workflows (PRD-002); API-driven LLM parsing pipeline for clause extraction and classification (PRD-002)
- Trust, safety & human-in-the-loop: Escalated ambiguous and high-risk cases to human reviewers (PRD-002); Validation checks so stakeholders trust AI summaries without re-checking numbers (PRD-001)
- Discovery & problem framing: Translated ops and finance leadership needs into scoped deliverables and success metrics (PRD-001); Cohort analysis to locate onboarding friction (PRD-006)
- Roadmap, prioritization & PRDs: RICE prioritization with direct stakeholder input (PRD-001); Data-backed PRDs with strict edge cases: +50% engineering throughput (PRD-002); "Stability First" roadmap: −30% technical debt, higher NPS (PRD-002)
- Metrics, analytics & experimentation: −40% activation drop-off and better Day-1 retention via Mixpanel cohorts (PRD-006); A/B testing and SQL in day-to-day decisions (PRD-006)
- Business impact & monetization: +22% MRR within two quarters from a 0→1 Zoom integration (PRD-003); New transaction-fee revenue stream and +18% ARPU/upsell (PRD-004); +30% enterprise adoption across US & APAC (PRD-005)
- Platform & technical depth: FastAPI microservices integrated with a Laravel core via REST (PRD-001); Stripe Connect payments infrastructure and wallet refunds (PRD-004); Multi-tenant SSO with granular RBAC (PRD-005)
- Cross-functional leadership: Worked directly with client ops and finance leadership (PRD-001); Aligned engineering, compliance reviewers and the client (PRD-002)
- 0→1 ownership in ambiguity: Owned the native Zoom integration from zero to one (PRD-003); 15+ products end to end as sole engineer and product lead (PRD-007)

## Judgment: when he chose not to use AI

- Rules, not a model: Inventory for small retailers. Rules-based demand logic instead of a forecasting model. Owners needed something reliable and explainable they could run themselves. (PRD-007)
- Checks around the model: Supply-chain reporting. The AI drafts the insights; validation checks guard accuracy, freshness and traceability, so stakeholders use the summaries without re-checking the numbers. (PRD-001)
- A human, not autonomy: Compliance reviews for schools. The agent handles routine clauses; ambiguous and high-risk ones go to a reviewer. Automate the volume, not the liability. (PRD-002)

## Optional

- [Résumé](https://semmal.one/resume.html)
- [Structured profile (JSON)](https://semmal.one/profile.json)