Hello, I'm Vishal

Bridging Tech Depth
& Business Impact.

AI Enablement Leader uniting data, technology, & business strategy to drive enterprise transformation. AI Manager, CIO's Office @ Keva, Technical Product Manager

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Vishal Jha

Vishal Jha

Mumbai, India

Career History

Proven Track Record

AI Enablement Manager, CIO’s Office

Keva Fragrances & Flavours
June 2024 – Present
Strategy

Advised CEO and marketing leadership on introducing an Account-Based Marketing tool for US expansion, translating prior ad-tech experience into a targeted approach for brand awareness and lead generation.

GenAI
GenAI & RAG Architecture

Built on-prem RAG chatbots for various functions

1) HR - Self-service chatbot for leave/reimbursement policy queries

2) IT - Self-service chatbot for SAP role based access requests

3) R&D - Chatbot to help with fragrance triangle analysis

Change Management
Increasing Adoption & Idea Pipeline

Launched company-wide newsletter to increase team visibility and awareness about initiatives. The easy to comprehend, bite sized articles explained complex technological concepts to a wider audience.

This led to increased adoption and an influx of ideas from various departments on what can be built next

Data & Governance
Data Strategy

Established enterprise master data frameworks and governance protocols to ensure better synergies from assimilation of acquired companies and enhanced AI readiness

Software Development Engineer II

6sense Insights Inc.
June 2020 – March 2024
Product Management
Product Strategy & Enablement

Identified and removed a feature discovery bottleneck by shifting experimentation from engineering-dependent workflows to a self-serve model for non-technical teams.

Built an internal experimentation tool that cut feature testing cycles by ~50% and increased the volume and quality of validated inputs into the product roadmap without additional engineering headcount.

Data Strategy & Governance
Privacy-First Architecture

Designed GDPR & CCPA compliant ad features, ensuring enterprise-grade data privacy and security standards.

Strategic
Higher performing ads

Served as a strategic thought partner to product and data teams, influencing roadmap direction through system insights

Was able to revamp ad targeting and prioritization logic among millions of accounts.

Influencing without authority
Leadership

Organized multiple training sessions, got a comprehensive documentation created and facilitated knowledge sharing sessions.

Led code reviews and optimized CI/CD pipelines, improving deployment frequency and code quality.

Case Studies

Strategic Impact in Action

GenAI Strategy & Implementation

Market Research Intelligence Bot

The Problem

Historical market research was locked in thousands of PDF reports, making manual analysis slow and prone to missed insights, leading to costly rework cycles.

The Approach

  • Data Pipeline: Built UI workflow to upload PDFs and convert them into structured data.
  • RAG Architecture: Each team could now access their very own ChatGPT where they were allowed to upload company data. Once Marketing team uploaded their research, the perfumers were able to easily query customer reactions to specific scents in specific contexts
  • Security First: Deployed 100% on-premise to comply with strict data privacy constraints.

The Solution

A secure, conversational AI assistant that reduced R&D rework cycles by upto 30%, enabling instant strategic decision-making without data leakage risks.

Future expansion: Social listening incorporation for latest consumer trends

Predictive Analytics & Supply Chain

SKU Demand Forecaster

The Problem

Lack of proper inventory planning: Simple growth estimate on last year's sales to decide procurement and production numbers

The Approach

  • Signal Integration: Unified disparate data sources: historical sales, seasonal trends, and new customer onboarding rates.
  • Prediction Modelling: Led the development of a time series model for more accurate demand forecasting
  • Operationalization: Got the forecast outputs integrated to MIS dashboard for procurement and production teams to utilize

The Solution

Automated replenishment triggers that optimized stock levels, significantly reducing carrying costs while maintaining high service levels.

Domain-Specific AI Innovation

Fragrance Triangle Intelligence Model

The Problem

Profiling a mixture into constituent - top, middle and base notes is a manual and tedious process. Incorrect mappings were leading to re-inventing of similar fragrance profiles across teams

The Approach

  • Data Normalization: Built a normalization layer to reconcile inconsistent chemical names, synonyms, and olfactory descriptors across datasets, creating a single, company-aligned vocabulary for fragrance constituents and sensory attributes.
  • LLM-Guided Olfactory Reasoning: Fine-tuned a large language model to interpret chemical constituents and their relative proportions, and predict olfactory descriptors in line with company nomenclature
  • Human-in-the-Loop Calibration: Incorporated expert feedback from fragrance specialists to improve prediction through RAG - reducing ambiguity

The Solution

Delivered an AI-powered Fragrance Triangle Predictor that automatically profiles complex mixtures into top, middle, and base notes with consistent, repeatable logic.

Reduced manual interpretation and subjective variance in fragrance profiling, minimizing redundant reinvention of similar scent profiles across teams.

Foundation

Education & Achievements

Indian School of Business (ISB) Hyderabad

MBA (Major: Strategy & Leadership)

2024 - 2025 Dean's List & Merit List

Indian Institute of Technology (IIT) Goa

B.Tech (Major: Computer Science)

2016 - 2020 NTSE Scholar (Rank 1) KVPY Fellow