Venkatesh Kashi profile photo 1 on Tal

Venkatesh Kashi

Product Manager | Fintech, HR Tech, SaaS & AI | B2B Enterprise Products

Greater Bengaluru Area

7+ years of work experience

Kaleidofin Private Limited
Apr 20251 yr 5 mosPresent

Bengaluru

Improved credit underwriting efficacy for ki score by integrating Bank Statement Analysis and alternate data features, boosting approval rates while keeping PAR90 below 4% on accepted cases Added model explainability to ki score, letting clients self-infer credit decisions instead of relying on our team — improving transparency and turnaround Built ki monitor's application layer — a persona-based portfolio risk monitoring product with Early Warning, Growth, and Recovery signals — driving a 40% reduction in PAR90 over 6 months Launched Ask ki, a conversational AI feature (RAG-based) for natural-language portfolio queries, along with automated anomaly detection for large loan books Built a self-serve PoC platform for lending clients to evaluate and onboard ki score, cutting sales cycle from 3 months to 2 weeks Use AI tools (LLMs, vibe coding) in day-to-day product work — PRDs, prototyping, and client demos
BetterPlace
Apr 20232 yrs 1 moApr 2025

Enhanced the Configuration Management and Policy Configuration of the system by making it more generic which enabled large enterprise like Reliance, Titan, Accenture,Troopers switch to Betterplace Improved Schema Management and Onboarding functionality to cater to dynamic requirements of the clients from India, Indonesia and Malaysia which reduced Onboarding to just 3 days. Integrated Low-Code Platform called Ezedox(Custom Workflows) into the Platform to build custom requirements of clients and also introduced the Policy Management which reduced shipping these requirements 60%faster. Introduced Config based Payroll System which helped BP Money integrate with various Loan System methods and options of payment based on the Orgnanisation or Vendor Policy Integrated BP Money fields in the Onboarding which enabled those employees from partnered clients eligible for Early Salary
Stockal
May 202210 mosFeb 2023

Bengaluru, Karnataka, India

Increased users by more than 25K by enabling integration for US Investing with 4 major Fintech partners and with a Single Onboarding process with existing partners. Implemented Chatbot which reduced the dependency on Agents during peak hours and built Partner Portal for partners which had all data for the Investing and helped in Partner's Support. Improved Profile Acceptance rate by 60% by reducing the unwanted fields and documents during the onboarding based on the past data and by syncing with US Broker Partner. Improved the Funding funnel by introducing a solution called Easy Funds which resulted with the increase of 3X funding and also opening up a a new revenue opportunity with new and existing partners. Increased APRU by introducing feature called Extended Hours Trading which helped users to trade even in non-market hours.
Ohm Mobility
Feb 20211 yr 2 mosMar 2022

Increased GMV by 2.5X by launching Rental Module from scratch which enabled all Rental Auto Drivers pay rent digitally through App which also helped Partners recover money 50% faster. Improved Loan Collections of more than 60% users by implementing Smart Pay Suggestion Algorithm in the Ohm App. Increased revenue by 30% by adding 2 extra sales avenues based on the customer's pain points and inputs. Increased Daily Active Users to the app by 5X by changing flows based on the data and Customer Interviews. Onboarded 3 Channel Partners (~15k users) in 45days by integrating Loan Collection with Loan Management Module.
BFore
Dec 20191 yr 2 mosJan 2021

Bengaluru, Karnataka, India

Reduced the dependency of TeleCallers by 50% by building category specific chatbot which also increased the user’s engagement time in the product by 3x. Improved Offline Sales of 3 BFore Partners by Collaborating with 50+ Store Managers/brand managers with an average order value of Rs 25000. Improved Monetizable Sales by 2X by building a separate Seller App which had all required information about Customers which also reduced the TAT for Customer’s follow up. Built Conversational Chabot in Dailogflow with the help of past interactions data which resulted in users getting information 24/7. Improved our B2B Offering (AssistBot) by performing regular reviews and to look for ways to improve current processes, correct bottlenecks, and improve workflow. Reduced Customer’s Research phase by 40% by building Tv Recommendation Engine through past reviews and ratings and curated suggestions based on the User’s requirements and usage needs.
BFore
Jan 201911 mosNov 2019

Bengaluru, Karnataka, India

• On boarded 100+ Store Managers to BFore Seller App by developing relationships among Store Managers or Brand Promoters and nurtured new business leads in the community. • Sold 2500+ Home Appliances by Supervising a team of 6 Inside Sales Executives to set process and achieve targets and built relationship with 4 Multi chain stores. • Increased Monetizable Sales by 20% by providing direction to Top Sellers on how to improve their business performance on BFore and improve its Customer Experience.

Venkatesh’s AI Stack

aistudio
aistudio
claude code
claude code
langchain
langchain
langgraph
langgraph
notion
notion
openai
openai

Education

Visvesvaraya Technological University

Bachelor of Engineering - BE, Information Technology

Visvesvaraya Technological University

20114 yrs2015
K.L.E. Society's S. Nijalingappa College (KLE SNC), Bengaluru

PUC, PCMC

K.L.E. Society's S. Nijalingappa College (KLE SNC), Bengaluru

20092 yrs2011

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Headline

Product Manager | Fintech, HR Tech, SaaS & AI | B2B Enterprise Products

About

I'm a Product Manager with about 6 years of experience in Fintech, HR Tech, and SaaS. Kaleidofin — building credit risk and lending products for banks and NBFCs • Alternate credit scoring and portfolio monitoring • AI features like conversational insights and model explainability Betterplace — HR tech for large enterprises • Improved onboarding and configuration workflows • Built a low-code workflow platform to handle custom client requirements faster Stockal — cross-border investing platform • Improved onboarding • Built features that grew funded volume Ohm Mobility & BFore.in — earlier in my career, building 0-to-1 products • Spanning mobility, digital payments, and AI-based e-commerce Happy to connect with other folks in product, fintech, or AI.

Location

Greater Bengaluru Area

AI stack

aistudio

claude code

langchain

langgraph

notion

openai

Work experience

Product Manager – Risk & AI Products at Kaleidofin Private Limited, Apr 2025 - Present · 1 yr 5 mos, Bengaluru, Improved credit underwriting efficacy for ki score by integrating Bank Statement Analysis and alternate data features, boosting approval rates while keeping PAR90 below 4% on accepted cases Added model explainability to ki score, letting clients self-infer credit decisions instead of relying on our team — improving transparency and turnaround Built ki monitor's application layer — a persona-based portfolio risk monitoring product with Early Warning, Growth, and Recovery signals — driving a 40% reduction in PAR90 over 6 months Launched Ask ki, a conversational AI feature (RAG-based) for natural-language portfolio queries, along with automated anomaly detection for large loan books Built a self-serve PoC platform for lending clients to evaluate and onboard ki score, cutting sales cycle from 3 months to 2 weeks Use AI tools (LLMs, vibe coding) in day-to-day product work — PRDs, prototyping, and client demos

Product Manager at BetterPlace, Apr 2023 - Apr 2025 · 2 yrs 1 mo, Enhanced the Configuration Management and Policy Configuration of the system by making it more generic which enabled large enterprise like Reliance, Titan, Accenture,Troopers switch to Betterplace Improved Schema Management and Onboarding functionality to cater to dynamic requirements of the clients from India, Indonesia and Malaysia which reduced Onboarding to just 3 days. Integrated Low-Code Platform called Ezedox(Custom Workflows) into the Platform to build custom requirements of clients and also introduced the Policy Management which reduced shipping these requirements 60%faster. Introduced Config based Payroll System which helped BP Money integrate with various Loan System methods and options of payment based on the Orgnanisation or Vendor Policy Integrated BP Money fields in the Onboarding which enabled those employees from partnered clients eligible for Early Salary

Product Manager at Stockal, May 2022 - Feb 2023 · 10 mos, Bengaluru, Karnataka, India, Increased users by more than 25K by enabling integration for US Investing with 4 major Fintech partners and with a Single Onboarding process with existing partners. Implemented Chatbot which reduced the dependency on Agents during peak hours and built Partner Portal for partners which had all data for the Investing and helped in Partner's Support. Improved Profile Acceptance rate by 60% by reducing the unwanted fields and documents during the onboarding based on the past data and by syncing with US Broker Partner. Improved the Funding funnel by introducing a solution called Easy Funds which resulted with the increase of 3X funding and also opening up a a new revenue opportunity with new and existing partners. Increased APRU by introducing feature called Extended Hours Trading which helped users to trade even in non-market hours.

Associate Product Manager at Ohm Mobility, Feb 2021 - Mar 2022 · 1 yr 2 mos, Increased GMV by 2.5X by launching Rental Module from scratch which enabled all Rental Auto Drivers pay rent digitally through App which also helped Partners recover money 50% faster. Improved Loan Collections of more than 60% users by implementing Smart Pay Suggestion Algorithm in the Ohm App. Increased revenue by 30% by adding 2 extra sales avenues based on the customer's pain points and inputs. Increased Daily Active Users to the app by 5X by changing flows based on the data and Customer Interviews. Onboarded 3 Channel Partners (~15k users) in 45days by integrating Loan Collection with Loan Management Module.

Associate Product Manager at BFore, Dec 2019 - Jan 2021 · 1 yr 2 mos, Bengaluru, Karnataka, India, Reduced the dependency of TeleCallers by 50% by building category specific chatbot which also increased the user’s engagement time in the product by 3x. Improved Offline Sales of 3 BFore Partners by Collaborating with 50+ Store Managers/brand managers with an average order value of Rs 25000. Improved Monetizable Sales by 2X by building a separate Seller App which had all required information about Customers which also reduced the TAT for Customer’s follow up. Built Conversational Chabot in Dailogflow with the help of past interactions data which resulted in users getting information 24/7. Improved our B2B Offering (AssistBot) by performing regular reviews and to look for ways to improve current processes, correct bottlenecks, and improve workflow. Reduced Customer’s Research phase by 40% by building Tv Recommendation Engine through past reviews and ratings and curated suggestions based on the User’s requirements and usage needs.

Operations Manager at BFore, Jan 2019 - Nov 2019 · 11 mos, Bengaluru, Karnataka, India, • On boarded 100+ Store Managers to BFore Seller App by developing relationships among Store Managers or Brand Promoters and nurtured new business leads in the community. • Sold 2500+ Home Appliances by Supervising a team of 6 Inside Sales Executives to set process and achieve targets and built relationship with 4 Multi chain stores. • Increased Monetizable Sales by 20% by providing direction to Top Sellers on how to improve their business performance on BFore and improve its Customer Experience.

Education

Bachelor of Engineering - BE, Information Technology, Visvesvaraya Technological University

PUC, PCMC, K.L.E. Society's S. Nijalingappa College (KLE SNC), Bengaluru