Aakanksha Singh profile photo 1 on Tal

Aakanksha Singh

IBM certified AI/ML | AI Product Owner @ Sapiens | Building Enterprise AI Products | Multi-Agent Systems | RAG/KAG | Product Strategy | AI Evaluation

Bengaluru

4+ years of work experience

Sapiens
May 20242 yrs 4 mosPresent

- Lead a team of 8 business analysts driving requirements for the AI/platform roadmap — owning scope clarity and cross-functional alignment from discovery through release. - Shipped Commitment Intelligence 0→GA — a coordinator-orchestrated multi-agent RAG/KAG system parsing client requirements in any format to flag capability gaps in real time; validated in beta with 4 teams, compressing pre-commitment assessment from months toward weeks. -Owned end-to-end GTM for 3 enterprise launches across US, UK & Iberian markets — on schedule, zero backlog carryover across 4 releases. -Defined vision + roadmap for an internal AI prototyping platform (prompt engineering + multi-agent orchestration), shifting teams to prototype-first discovery — concept validation 4 weeks → under 1 week (~40 sprint-hours saved/cycle). -Partnered with presales to scope and fast-track 5 demo-critical capabilities, enabling 3 enterprise conversions across US & Europe.
Sapiens
May 20231 yrApr 2024

- Replaced manual SQL workflows with automated reporting pipelines on Amazon RDS for 4 stakeholder groups — weekly reporting 8 hrs → 1 hr. - Translated requirements from 4 business teams into scalable AWS data solutions — data discrepancies 10/month → near-zero; ad-hoc requests down 4/week. - Reconciled requirements across 3 product streams, surfacing 12 conflicting assumptions pre-sprint — enabling 4 consecutive on-time releases.
Reflexion AI
Jan 20234 mosApr 2023

Pune District, Maharashtra, India

- Mapped onboarding for 3 personas, diagnosed 6 drop-off points, delivered a workflow redesign adopted within 6 weeks. - Converted 4 requirement sets into Figma wireframes + annotated flows — design revisions 3 rounds → 1.
Receivables Exchange of India Ltd (RXIL)
May 20225 mosSep 2022

Mumbai, Maharashtra, India

- Audited vendor onboarding, fixed 5 bottlenecks — cycle time 14 → 11 days across 30 monthly onboardings. -Optimized 30+ SQL queries, runtime 90s → 12s — removed ~5 hrs/week of manual reconciliation.
4C - The Marketing Cell of NMIMS
Sep 202110 mosJun 2022

Mumbai, Maharashtra, India

-Led corporate outreach and sponsorship strategy for student-led marketing initiatives, driving engagement with 20+ companies -Curated and managed brand partnerships for flagship events, panel discussions, and case competitions -Collaborated with marketing, content, and events teams to align external outreach with internal campaign goals -Strengthened industry-university relations by organizing speaker sessions and guest lectures with CXOs and marketing professionals
Robocom international
Sep 20214 mosDec 2021

Aakanksha’s AI Stack

kimi
kimi
notebooklm
notebooklm
claudecode
claudecode
huggingface
huggingface
Supabase
Supabase
Wispr Flow
Wispr Flow

Education

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

MBA Tech, Electrical, Electronics and Communications Engineering

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

20185 yrs2023
Bombay Cambridge International School, Andheri East

IGCSE and AS & A Levels

Bombay Cambridge International School, Andheri East

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Headline

IBM certified AI/ML | AI Product Owner @ Sapiens | Building Enterprise AI Products | Multi-Agent Systems | RAG/KAG | Product Strategy | AI Evaluation

About

I'm a AI Product Owner with 3+ years of experience building enterprise AI products that help teams make faster, better product decisions. Over the past three years, I've worked at the intersection of product management, enterprise software, and applied AI—leading product initiatives from discovery through launch. Most recently, I led the product strategy and delivery of an internal multi-agent AI platform that helps analyze complex client requirements, identify product capability gaps, and accelerate enterprise decision-making. One thing I've learned building enterprise AI products is that model quality is only one part of the problem. The harder challenges are deciding where AI should be used, how its outputs should be evaluated, when humans should stay in the loop, and what earns user trust. Those product decisions interest me far more than choosing the latest model. Before moving into product, I worked as a Data Science Intern building computer vision systems and later completed an MBA Tech in Business Intelligence & Analytics at NMIMS. That technical foundation helps me bridge engineering constraints with product strategy and customer outcomes, allowing me to collaborate comfortably with both engineers and business stakeholders. Outside work, I'm building Aura, an AI-powered virtual try-on Chrome extension where I experiment with rapid prototyping, product validation, AI evaluation, and cost optimization. It's my space to test ideas quickly, learn from users, and continuously improve as a product manager. I'm particularly interested in Enterprise AI, AI Product Management, Product Discovery, AI Evaluation, and building products that solve meaningful customer problems—not just showcase impressive technology. I'm always happy to connect with people building AI products, discussing product strategy, or exploring how enterprise AI can create measurable business impact.

Location

Bengaluru

AI stack

kimi

notebooklm

claudecode

huggingface

Supabase

Wispr Flow

Work experience

AI Product Owner at Sapiens, May 2024 - Present · 2 yrs 4 mos, - Lead a team of 8 business analysts driving requirements for the AI/platform roadmap — owning scope clarity and cross-functional alignment from discovery through release. - Shipped Commitment Intelligence 0→GA — a coordinator-orchestrated multi-agent RAG/KAG system parsing client requirements in any format to flag capability gaps in real time; validated in beta with 4 teams, compressing pre-commitment assessment from months toward weeks. -Owned end-to-end GTM for 3 enterprise launches across US, UK & Iberian markets — on schedule, zero backlog carryover across 4 releases. -Defined vision + roadmap for an internal AI prototyping platform (prompt engineering + multi-agent orchestration), shifting teams to prototype-first discovery — concept validation 4 weeks → under 1 week (~40 sprint-hours saved/cycle). -Partnered with presales to scope and fast-track 5 demo-critical capabilities, enabling 3 enterprise conversions across US & Europe.

Associate Business Analyst at Sapiens, May 2023 - Apr 2024 · 1 yr, - Replaced manual SQL workflows with automated reporting pipelines on Amazon RDS for 4 stakeholder groups — weekly reporting 8 hrs → 1 hr. - Translated requirements from 4 business teams into scalable AWS data solutions — data discrepancies 10/month → near-zero; ad-hoc requests down 4/week. - Reconciled requirements across 3 product streams, surfacing 12 conflicting assumptions pre-sprint — enabling 4 consecutive on-time releases.

Business Analyst at Reflexion AI, Jan 2023 - Apr 2023 · 4 mos, Pune District, Maharashtra, India, - Mapped onboarding for 3 personas, diagnosed 6 drop-off points, delivered a workflow redesign adopted within 6 weeks. - Converted 4 requirement sets into Figma wireframes + annotated flows — design revisions 3 rounds → 1.

IT Analyst at Receivables Exchange of India Ltd (RXIL), May 2022 - Sep 2022 · 5 mos, Mumbai, Maharashtra, India, - Audited vendor onboarding, fixed 5 bottlenecks — cycle time 14 → 11 days across 30 monthly onboardings. -Optimized 30+ SQL queries, runtime 90s → 12s — removed ~5 hrs/week of manual reconciliation.

Head of Corporate Relations at 4C - The Marketing Cell of NMIMS, Sep 2021 - Jun 2022 · 10 mos, Mumbai, Maharashtra, India, -Led corporate outreach and sponsorship strategy for student-led marketing initiatives, driving engagement with 20+ companies -Curated and managed brand partnerships for flagship events, panel discussions, and case competitions -Collaborated with marketing, content, and events teams to align external outreach with internal campaign goals -Strengthened industry-university relations by organizing speaker sessions and guest lectures with CXOs and marketing professionals

Data Science Intern at Robocom international, Sep 2021 - Dec 2021 · 4 mos

Education

MBA Tech, Electrical, Electronics and Communications Engineering, SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

IGCSE and AS & A Levels, Bombay Cambridge International School, Andheri East