Pranav Shelke
AI, Product & Growth @ LeadSquared | Ex - Pine Labs, Yulu
Bengaluru
6+ years of work experience
Nov 202511 mosPresent
Bengaluru, Karnataka, India
- Built Text to Analytics, a multitenant conversational analytics tool for the CRM on Claude's managed agent architecture, now cited in enterprise deal wins as a standout capability.
- Driving enterprise sales conversion from 5% to 12% QoQ by sharpening demo narratives with customer context across US Education and Healthcare customers.
- Built an in-house AI roadmapping platform unifying product requests, support issues and sales signals into a prioritised roadmap, replacing external tooling and saving roughly $60K a year.
- Built AI Hire Suite, an AI native candidate screening tool that scores every applicant against a versioned rubric with strengths, gaps and tailored interview questions, then benchmarks human decisions against the AI's own to track agreement and fairness. Used the tool to make 3 successful hires.
Jul 20241 yr 5 mosNov 2025
Bengaluru, Karnataka, India
- Built the Pine Labs MCP server, cutting merchant integration effort from days to hours for developers integrating payment workflows
- Built an AI driven backlog prioritisation process that synthesised unstructured merchant feedback from support tickets and social media into ranked roadmap inputs.
Recognized as a 2x Employee of the Quarter awardee at Pine Labs for sustained, consistent performance and for leading initiatives across data and AI.
Agentic AI Builds
- Agentic PM and PMO workflows using n8n, MCP and RAG, automating core operations and lifting efficiency by over 40%.
- SRE agents that monitored and debugged service requests in real time to improve system reliability.
- Research agents that kept PMs continuously updated with battle cards and domain insights.
Jun 20222 yrs 2 mosJul 2024
Bengaluru, Karnataka, India
- Reduced delinquency by 2% YoY by deploying ML models to segment customers into risk tiers and targeting them with personalised, multilingual communications, optimising engagement and cost across vendor cohorts.
- Scaled multilingual delinquency communications across India through a personalisation engine that adapted regional language and tonality based on risk profile and delinquency stage, improving response rates via intelligent workflow automation in partnership with Yellow.ai and Gnani.ai. Reduced First Time Delinquency by 3.3% QoQ.
- Built a fraud detection and customer tracking platform leveraging credit bureau data and activity pattern analysis for automated risk classification, enabling proactive identification of fraudulent and missing customers. Contributed roughly ₹3 crore (a 0.5% increase) in collections through customer settlements via the tracing platform.
Nov 20218 mosJun 2022
Sep 20191 yr 9 mosMay 2021
Bengaluru, Karnataka, India
- Contributed to a demand prediction model forecasting intercluster bike movement by time of day across four major markets (Bangalore, Mumbai, Delhi, Pune), enabling more accurate, data driven fleet distribution decisions.
- Delivered ~12% in cost savings by leading central OKRs for operational efficiency across four cost levers (screening, maintenance, relocation, inventory management), building a self improving process and consistently hitting quarterly goals over 3 to 4 quarters.
- Pioneered the company's first customer cohort and funnel analysis, cross referencing user behavior and marketing engagement data with customer support records to identify where poor ride experiences caused funnel drop off. Partnered directly with the marketing and customer success teams to close these gaps and improve conversion.
Pranav’s AI Stack
Education
Bachelor of Technology (B.Tech.), Computer Science
Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded
20154 yrs2019
High School Diploma, General Studies
ryan international school
200014 yrs2014
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