Hayagreev Sivakumar profile photo 1 on Tal

Hayagreev Sivakumar

Building AI Products for Real Human Problems | Co-Founder, Emote (Emotional Sense-Making AI) | Behavioural AI Systems | FS Assistant Manager at Grant Thornton Bharat

Greater Chennai Area

4+ years of work experience

Grant Thornton Bharat LLP
Jul 20262 mosPresent

Chennai

Emote Wellness
May 20251 yr 4 mosPresent

Greater Chennai Area

Building an AI system that helps people process experiences over time instead of treating conversations as isolated chats. Emote is built on one idea: human problems are continuous, but AI resets every session. We are building memory-driven systems that track patterns and retain context across interactions. I own product vision, user research, positioning, and iteration: • Defined the core problem thesis around episodic emotional distress and lack of longitudinal reflection, translated it into product hypotheses, and led the evolution from POC to live product with real users, reaching 364 users and 415 sessions through fully organic distribution. • Built and refined the activation and onboarding system, achieving ~62–73% activation across early cohorts and validating that users engage meaningfully from the first session. • Designed and operationalized feedback loops through session analysis, cohort tracking, and power-user interviews; identified high-intent usage patterns including 50% of sessions crossing 10+ turns and emergence of repeat multi-session users. • Shaped the product around behavioral depth rather than surface interaction, improving retention signals (~21% weekly retention in early cohorts) and building toward repeat engagement loops. • Worked closely with engineering to define and prioritize memory-layer behavior, ensuring the system captures emotional patterns, not just prompts and responses, balancing technical constraints with user psychology. • Built and iterated on acquisition strategy from first principles, focusing on high-signal user segments and zero-paid channels to maximize learning velocity and insight. • Own the full product loop end-to-end: problem definition, hypothesis design, feature prioritization, shipping, measurement, and iteration. My focus is building AI products grounded in real user behavior, where systems improve with memory, not just scale with usage.
Grant Thornton Bharat LLP
Jul 20251 yr 1 moJul 2026

Greater Chennai Area

A. Public Sector Bank (Data Lakehouse & AI Enablement) - Led end-to-end requirement discovery for enterprise data lakehouse implementation by collaborating with 80+ cross-functional departments, synthesizing business and data needs into a unified product scope; translated fragmented stakeholder inputs into a structured RFP, enabling vendor evaluation aligned to analytics and AI use cases across the bank. - Co-designed RFP and solution blueprint for AI-enabled data platform by working with client leadership and internal SMEs to define ML/LLM use cases, data architecture, governance, and integration requirements; drove scope finalization within 4 months, accelerating OEM/vendor onboarding for next-gen analytics capabilities. B. Private Sector Bank (IT & Controls Transformation) - Executed end-to-end ITGC and application control audits across 2 critical banking systems (including Calypso, MFI application), assessing access, change, interface, processing, infosec, DR/BCP, and incident management controls; identified design and operating gaps to strengthen system reliability and cyber resilience. - Partnered with application owners and infosec teams to test control effectiveness and validate remediation plans, aligning technical control environments with business risk priorities; enhanced audit traceability and evidence workflows, improving control transparency across core banking applications. C. Private Sector Bank (CRM Transformation – Zoho CRM Implementation) - Translated gap assessment outputs into structured BRDs and SRS by working with business teams to refine requirements and align with target system design - Acted as central coordination point across bank teams, API teams, vendors, and Zoho partners, facilitating cross-functional discussions to resolve dependencies and finalize integration flows - Supported implementation and post go-live stabilization by validating builds against approved requirements and coordinating resolution of IDMS and CCMS issues
TechVire - Digital Marketing Services
Mar 20255 mosJul 2025

Chennai, Tamil Nadu, India

Connect Management Consulting Services
Jan 20253 mosMar 2025

Chennai, Tamil Nadu, India · Hybrid

- Spearheaded LinkedIn, email outreach, and cold calling strategies, setting up a ₹2L/month sales pipeline with projects worth ₹75K - ₹1L each. Personally closed ₹4L in revenue within two months (Nov-Jan) by targeting SME clients. - Devised market penetration roadmaps for a home textiles and consumer durables client by aggregating and cleansing data from sales, demographic, and distribution sources; synthesized insights to prioritize high‑growth regions and channels, unlocking ₹50 L/month in potential revenue through optimized market access. - Established Project Management, Delivery, and Sales Pipeline systems, enhancing operational efficiency, accountability, and morale, creating a foundation for a structured consulting approach.
Connect Management Consulting Services
Oct 20244 mosJan 2025

Chennai, Tamil Nadu, India · Hybrid

Connect Management Consulting Services
Oct 20241 moOct 2024

Chennai, Tamil Nadu, India · Hybrid

Three Seasons Popcorn
Nov 20222 yrs 9 mosJul 2025

Chennai, Tamil Nadu, India

A ready-to-scale Popcorn Startup, democratizing seasoned-gourmet popcorn at affordable prices, currently available in Chennai. - Achieved product-market fit and drove revenue growth by refining products based on market research and consumer feedback, with an investment of under ₹10 lakh. - Reduced variable costs by 21% & improved margins by 9.4% through bi-yearly supplier and channel partner negotiations. - Executed data-driven Instagram marketing campaigns, lowering CAC to ₹5, boosting retention by 37%, and adding ₹1.5 lakh/month in revenue through Swiggy and Zomato utilising Meta analytics.

Hayagreev’s AI Stack

codex
codex
opencode
opencode

Education

CentraleSupélec

Master's degree, Computational Neuroscience and Neuroengineering

CentraleSupélec

20211 yr2022
Stoa

General MBA Program (GMP)

Stoa

20231 yr2024

Join Hayagreev and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Hayagreev Sivakumar on Tal

Headline

Building AI Products for Real Human Problems | Co-Founder, Emote (Emotional Sense-Making AI) | Behavioural AI Systems | FS Assistant Manager at Grant Thornton Bharat

About

I build AI products that solve real human problems, not demo problems. Right now, I’m building Emote. Most AI resets every session. Human problems don’t. People are already using AI for emotional support, but existing systems forget context, repeat themselves, and never actually understand patterns over time. We’re building AI that remembers. Emote tracks emotional patterns across conversations, builds continuity, and helps users understand not just what they feel, but why it keeps happening. Early signals: ➡️ 364 users, 415 sessions (100% organic) ➡️ ~62% activation rate ➡️ 21% weekly retention (early cohorts) ➡️ 50% of sessions go 10+ turns deep Power users returning for multi-session trajectories This is not a chatbot. It’s a memory system for human behavior. My role: ➡️ Identify real-world problems worth solving ➡️ Translate behaviour → product decisions ➡️ Build → measure → iterate fast Before this, I built and scaled consumer businesses and worked on enterprise systems (data, AI, controls). That trained execution under constraint. I’m focused on one thing: Building AI systems that improve with memory and actually understand people over time. If you’re building at the intersection of AI, product, and human behaviour: 👉 Click here to check out my app - https://emotenow.app

Location

Greater Chennai Area

AI stack

codex

opencode

Work experience

Assistant Manager at Grant Thornton Bharat LLP, Jul 2026 - Present · 2 mos, Chennai

Co-Founder & AI Product Lead at Emote Wellness, May 2025 - Present · 1 yr 4 mos, Greater Chennai Area, Building an AI system that helps people process experiences over time instead of treating conversations as isolated chats. Emote is built on one idea: human problems are continuous, but AI resets every session. We are building memory-driven systems that track patterns and retain context across interactions. I own product vision, user research, positioning, and iteration: • Defined the core problem thesis around episodic emotional distress and lack of longitudinal reflection, translated it into product hypotheses, and led the evolution from POC to live product with real users, reaching 364 users and 415 sessions through fully organic distribution. • Built and refined the activation and onboarding system, achieving ~62–73% activation across early cohorts and validating that users engage meaningfully from the first session. • Designed and operationalized feedback loops through session analysis, cohort tracking, and power-user interviews; identified high-intent usage patterns including 50% of sessions crossing 10+ turns and emergence of repeat multi-session users. • Shaped the product around behavioral depth rather than surface interaction, improving retention signals (~21% weekly retention in early cohorts) and building toward repeat engagement loops. • Worked closely with engineering to define and prioritize memory-layer behavior, ensuring the system captures emotional patterns, not just prompts and responses, balancing technical constraints with user psychology. • Built and iterated on acquisition strategy from first principles, focusing on high-signal user segments and zero-paid channels to maximize learning velocity and insight. • Own the full product loop end-to-end: problem definition, hypothesis design, feature prioritization, shipping, measurement, and iteration. My focus is building AI products grounded in real user behavior, where systems improve with memory, not just scale with usage.

Financial Transformation Consultant at Grant Thornton Bharat LLP, Jul 2025 - Jul 2026 · 1 yr 1 mo, Greater Chennai Area, A. Public Sector Bank (Data Lakehouse & AI Enablement) - Led end-to-end requirement discovery for enterprise data lakehouse implementation by collaborating with 80+ cross-functional departments, synthesizing business and data needs into a unified product scope; translated fragmented stakeholder inputs into a structured RFP, enabling vendor evaluation aligned to analytics and AI use cases across the bank. - Co-designed RFP and solution blueprint for AI-enabled data platform by working with client leadership and internal SMEs to define ML/LLM use cases, data architecture, governance, and integration requirements; drove scope finalization within 4 months, accelerating OEM/vendor onboarding for next-gen analytics capabilities. B. Private Sector Bank (IT & Controls Transformation) - Executed end-to-end ITGC and application control audits across 2 critical banking systems (including Calypso, MFI application), assessing access, change, interface, processing, infosec, DR/BCP, and incident management controls; identified design and operating gaps to strengthen system reliability and cyber resilience. - Partnered with application owners and infosec teams to test control effectiveness and validate remediation plans, aligning technical control environments with business risk priorities; enhanced audit traceability and evidence workflows, improving control transparency across core banking applications. C. Private Sector Bank (CRM Transformation – Zoho CRM Implementation) - Translated gap assessment outputs into structured BRDs and SRS by working with business teams to refine requirements and align with target system design - Acted as central coordination point across bank teams, API teams, vendors, and Zoho partners, facilitating cross-functional discussions to resolve dependencies and finalize integration flows - Supported implementation and post go-live stabilization by validating builds against approved requirements and coordinating resolution of IDMS and CCMS issues

Senior Consultant at TechVire - Digital Marketing Services, Mar 2025 - Jul 2025 · 5 mos, Chennai, Tamil Nadu, India

Deputy Chief Executive Officer at Connect Management Consulting Services, Jan 2025 - Mar 2025 · 3 mos, Chennai, Tamil Nadu, India · Hybrid, - Spearheaded LinkedIn, email outreach, and cold calling strategies, setting up a ₹2L/month sales pipeline with projects worth ₹75K - ₹1L each. Personally closed ₹4L in revenue within two months (Nov-Jan) by targeting SME clients. - Devised market penetration roadmaps for a home textiles and consumer durables client by aggregating and cleansing data from sales, demographic, and distribution sources; synthesized insights to prioritize high‑growth regions and channels, unlocking ₹50 L/month in potential revenue through optimized market access. - Established Project Management, Delivery, and Sales Pipeline systems, enhancing operational efficiency, accountability, and morale, creating a foundation for a structured consulting approach.

Associate Consultant at Connect Management Consulting Services, Oct 2024 - Jan 2025 · 4 mos, Chennai, Tamil Nadu, India · Hybrid

Jr. Management Consultant Intern at Connect Management Consulting Services, Oct 2024 - Oct 2024 · 1 mo, Chennai, Tamil Nadu, India · Hybrid

Founder CEO, MD at Three Seasons Popcorn, Nov 2022 - Jul 2025 · 2 yrs 9 mos, Chennai, Tamil Nadu, India, A ready-to-scale Popcorn Startup, democratizing seasoned-gourmet popcorn at affordable prices, currently available in Chennai. - Achieved product-market fit and drove revenue growth by refining products based on market research and consumer feedback, with an investment of under ₹10 lakh. - Reduced variable costs by 21% & improved margins by 9.4% through bi-yearly supplier and channel partner negotiations. - Executed data-driven Instagram marketing campaigns, lowering CAC to ₹5, boosting retention by 37%, and adding ₹1.5 lakh/month in revenue through Swiggy and Zomato utilising Meta analytics.

Education

Master's degree, Computational Neuroscience and Neuroengineering, CentraleSupélec

General MBA Program (GMP), Stoa