Vinay
Shashidhar

India's largest B2B tax & compliance SaaS platform — 4,000+ enterprises, 6M+ taxpayers.

• Built ClearTax's AI/ML function from the ground up with a company-wide mandate to make Clear AI-native — leading 10+ initiatives and shipping 16 products in FY26.
• Conversational Intelligence — scaled support-call auditing from ≈25 calls/week to 1,200–2,000 calls/day at 100% coverage, with real-time fatal-call alerts and a leadership dashboard.
• AI Support Chatbot — 225K+ conversations at up to 92% deflection; cut query-to-ticket from 27% to under 10%, lifted CSAT 3.7 → 4.1.
• SalesHub revenue-intelligence platform live for 15+ enterprise clients at >80% adoption; Global E-Invoice AI cut new-country go-live from ≈1 month to under a week.

Builder of Rush — a high-concurrency, skill-based competitive gaming platform with millions of users.

• Established the ML division from scratch for a real-time, high-concurrency consumer platform.
• Built real-time ML for fair matchmaking & skill assessment via generative modeling; skill framework shared with national gaming regulators.
• Built predictive churn for highest-LTV users (drop-off −4%) and a real-time anomaly-detection / early-warning platform for integrity and revenue.
• Spearheaded an emotionally intelligent Hindi voice-to-voice support bot (speech-to-text, text-to-speech, speech-to-speech).

Corporate research lab of the global e-commerce and internet-services group.

• Led the Audience Science team within customer marketing — behavioral analysis & predictive modeling.
• Built look-alike modeling with fastText / sent2vec embeddings; newsletter recommendations via LightFM; a predictive lead-scoring algorithm.
• Proposed & led the AI Research Lab initiative — weekly deep technical discussions on the latest AI/ML research across multiple teams.

Global hospitality marketplace operating across 35+ countries.

• First member of the ML team; established the pipeline and a data-driven engineering culture.
• Built a dynamic-pricing algorithm (revenue maximization as a quadratic program) → 4–5% net-revenue increase.
• Built demand + cancellation models → 3–5% net-revenue increase by cutting cancellations 10%; built a surge-pricing engine.

• Delivered the feedback module of a chat-based Cognitive Tutor in a major pilot with a leading education firm (published at ITS & EDM).
• Applied ML to neuroscience — analyzed fMRI + behavioral data to study emotion's effect on brain state.

• Co-developed an automated Spoken English evaluation product that became market leader at 70–80% share.
• Led teams building automated evaluation of computer programs and a first-of-its-kind automated psychomotor-skill assessment.
• Built the first personality inventory in the Indian context and a PSO-based on-job-performance classifier — a company differentiator.