Srija Harshika | Senior Product Manager

Senior Product Manager (AVP) — JPMorgan Chase

Dec 2025 – Present

Full resume

DARwin AI document intelligence for mortgage underwriting; OCR + LLM extraction pipeline.
Exception-driven verification workflow → manual review reduced ~70%.
Field-level confidence scoring (LLM + historical + SOR validation).
Verifier dashboard for flagged fields, document navigation, correction flows.
Document Intelligence Hub metadata model for status, exceptions, verification lifecycle.
Review analytics instrumentation (review_started_at, review_completed_at).
AI-driven mortgage document validation improving processing speed and accuracy.
Cross-functional delivery with ML, platform engineering, and underwriting teams.

Work

Senior Product Manager — Jio Platforms (AI Division)

Aug 2023 – Nov 2025

Full resume

JIA across 20M+ devices; 58K+ WAUs; 50% support deflection.
Unified siloed assistants → one agent; duplicate queries −60; NPS +22.
RAG on 100GB+ corpus (Gemini + LangChain) → +35 accuracy.
NER + topic extraction over 15TB docs → +48 search precision.
150+ golden eval intents; accuracy, latency, hallucination metrics.
FinTech intelligence: approvals +18; risk −38; offers +15 CTR; $1.7M QoQ uplift.

Technical Lead — Cyient (GIS Division)

Aug 2018 – Mar 2022

Launched Network Planning & Optimization product; led 5 engineers.
Reusable QA frameworks → 30% faster QA; trained 50 engineers.
Led ISO27001 readiness across 5 projects; 3 major releases delivered.

Projects & Use Cases

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JIA Agentic Assistant (Spotlight)

Multimodal orchestration, retrieval, guardrails, cost-aware rollout across 20M+ devices.

Gemini + LangChain RAG pipelines
Hallucination guardrails & label QA
Golden evaluation sets (150+ intents)

GenAI RAG

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FinTech Intelligence

Credit decisioning, fraud & wealth propensity scoring, offers engine driving $1.7M QoQ uplift.

ML-driven credit risk assessment
Real-time fraud detection algorithms
Personalized financial product recommendations

ML FinTech

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Product Teardown

Deep-dive analysis of successful AI/ML products, growth strategies, and product-market fit insights.

ChatGPT's growth trajectory analysis
Notion AI integration strategy
Midjourney's community-driven adoption

Analysis Strategy

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Network Optimization Platform

GIS-based network planning solution for telecom infrastructure optimization and automated deployment.

Automated site planning algorithms
Coverage optimization models
Real-time network performance monitoring

GIS Telecom

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Growth Experimentation Framework

Data-driven product growth through A/B testing, user behavior analysis, and conversion optimization.

Statistical significance testing
User journey optimization
Feature flag management

Growth Analytics

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AI Safety & Compliance

Implementing responsible AI practices, bias detection, and regulatory compliance frameworks for AI products.

Bias detection and mitigation
Model explainability frameworks
Privacy-preserving ML techniques

Ethics Compliance

Weekly Insights

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Product thoughts, AI/ML insights, and teardowns of successful products. Fresh perspectives every week from building AI products at scale.

🆕 New This Week August 26, 2025

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Building Trust in AI Products: Lessons from Scaling to 20M+ Users

How to build and maintain user trust in AI products through transparency, reliability, and user-centric design. Real insights from scaling JIA across 20M+ devices at Jio Platforms.

User Trust AI Products Scale

7 min read

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