Naresh Silla

Track record

Product manager for AI systems that people can actually use.

I work at the intersection of product, AI, and data systems: LLM copilots, RAG pipelines, CRM platforms, real-time event products, and small software experiments that make abstract ideas easier to use.

My strongest work is translating technical possibility into product shape: the workflow, the trust model, the user decision point, the metrics, and the story that helps teams build the right thing.

$30M

incremental revenue contribution

Milestones & Streaks gamification at Capillary

18%

engagement lift

enterprise brand gamification programs

<1 min

promotion setup time

compressed from roughly 20 minutes with AiRA Copilot

400+

hours saved monthly

LLM-assisted promotion setup workflows

5k-6k

Slack queries per month

RAG documentation assistant usage

10M+

records moved per day

Connect+ integrations to Adobe, Braze, and Salesforce

1,200+

hours saved annually

ML run-time estimator at Accenture AI

0.3-day

RMSE

supply-chain lead-time estimation across 100,000+ customers

Experience

Enterprise AI, data products, and hands-on builder energy.

JPMorgan Chase

Senior Product Associate, CCB

2026 - Present

  • Working on credit-card recommendation experiences for Chase mobile, with a focus on personalization, product requirements, and regulated delivery.
  • Collaborating across engineering, data science, risk, compliance, and distributed teams across the US, India, and the UK.

Capillary Technologies

Product Manager, AI Products & Platform

2023 - 2026

  • Launched Milestones & Streaks gamification from 0-to-1, contributing to $30M incremental revenue and an 18% engagement lift across enterprise brands.
  • Shipped AiRA Copilot, an LLM interface that compressed promotion setup from roughly 20 minutes to under 1 minute and saved 400+ hours monthly.
  • Built a RAG documentation assistant handling 5,000-6,000 Slack queries per month, cutting knowledge retrieval from hours to seconds.
  • Led Connect+, a self-service data integration platform moving 10M+ records/day to Adobe, Braze, and Salesforce.

Accenture AI

Data Science Practitioner

2021 - 2023

  • Built an ML-based run-time estimator that saved 1,200+ hours annually across enterprise migration teams.
  • Designed scheduling and sampling workflows for large-scale data transformation pipelines.

Curl Analytics

Data Scientist

2019 - 2021

  • Delivered supply-chain lead-time estimation with 0.3-day RMSE across 100,000+ customers and 16 ERP systems.
  • Built time-series forecasting models for market trend prediction across global markets.

Skills

A product brain with a technical spine.

AI product strategyLLM productsAgentic systemsRAGCRM platformsReal-time dataPythonSQLKafkaREST APIsPrompt engineeringProduct storytelling