Founder & CEO at C&S Capital | Bengaluru, India
12+ years at the intersection of quantitative finance and production AI engineering. Track record across fintech, lending, logistics, and proptech.
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LivabilityIndex - India's pincode-level real estate intelligence platform. 400+ data points per pincode across 300+ pincodes in top 10 cities. Agentic chatbot and MCP server for natural-language data access.
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CA-desk - AI-native practice management for Indian CA firms. Document intelligence, compliance tracking, and client management. In beta with paying customers.
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LaunchBloc - GTM and launch infrastructure for B2B ventures.
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C&S Capital - Parent holding and advisory entity. Quantitative finance and AI.
Built under Carrin & Stone Advisory
- Folio Management - Portfolio management dashboard for investment tracking and analytics, with strategy backtesting using Sharpe ratio for reporting
- Voice Agents - AI-powered voice agent system for client interactions and outreach
- KC App - Kite Connect trading app with bulk orders, historical search, news aggregation, MCP integrated
- IPO Research App - WhatsApp group links, YTD performance details to identify patterns
- Mutual Fund Research - Selection criteria and research on past performance, searchable and useful for clients
- Credit Risk Assessment Platform - Automated platform that processes borrower data, analyzes banking and bureau reports, and generates comprehensive risk assessments for loan underwriting
- Waters Worldwide - Built for RocketFrog
Founder & CEO - C&S Capital (2025 -- Present)
- Shipped multiple products end-to-end; 4 with paying customers across proptech, fintech, and SaaS
- Built agentic AI systems with MCP servers for natural-language data access
- Set product architecture, ML roadmap, and GTM strategy across all ventures
Senior AI Architect - Avlino (2022 -- 2025)
- ML + Operations Research models cut container re-handle rates by 12--26% and vessel TAT by 7%+
- Agent-based RAG on Azure OpenAI + Databricks eliminated SME dependency for knowledge retrieval
- Designed enterprise DataOps/MLOps/DevOps platform for streaming and batch workloads
- Led team of 7; owned hiring, planning, and technical onboarding
Head of Risk & Data Science - U GRO Capital (2021 -- 2022)
- Rebuilt credit risk scoring model; implemented E2E MLOps pipelines for faster releases
- Cut cost per lead (CPL) by 61% through data-quality and churn analytics initiatives
- Automated model-audit reporting and risk documentation for an NSE-listed NBFC
Senior Manager, Risk & Data Science - Avail Finance, acq. by Ola (2020 -- 2021)
- Led B2C lending risk science for one of India's fastest-growing fintechs
- Pioneered NTC and BNPL credit models and collections efficiency systems
Lead Data Scientist - Intertrust Group, fmr. Viteos Fund Services (2017 -- 2020)
- Built production credit risk and heuristic models for NTC and BNPL lending segments
- Shipped CV + NLP fusion system for emotion detection across face, body, and language signals
- Developed object-detection app for workspace safety in factories and plants
AI Researcher - Accenture (2014 -- 2017)
- Built multi-channel attribution platform (Scala, Spark) using Markov-chain models at enterprise scale
- Deployed ML models for conversion probability and optimal budget/channel allocation
AI & Engineering - Agentic AI Systems, LLM Fine-Tuning, RAG Pipelines, Document Intelligence, VectorDB, Backend APIs, ML/RL Sequencing Models
Finance & Quant - Quantitative Research (CQF), Credit Risk Modelling, BNPL/NTC Lending, Equity Portfolio Analysis, Geo-Spatial & Catchment Models
Product & GTM - Product Roadmapping, Customer Discovery, B2B SaaS Go-to-Market, Dual-Brand Architecture, Pricing Strategy
- Financial Engineering (Quant Finance) - CQF Institute (2024 -- 2026)
- Business Analytics and Intelligence, Executive - IIM Bangalore (2020 -- 2021)
- B.Tech, Mechanical Engineering - LIMAT (2010 -- 2014)
- Bloomberg Market Concepts - Bloomberg
- ESG Certification - Bloomberg
- NISM XV Research Analyst - NISM
Also active on my other GitHub profile - github.com/avaneeshkum


