---
title: "Archit Sharma - Founding Engineer 2 in India | Tal"
description: "Meet Archit Sharma, Engineering at PitchSense | Revenue Intelligence based in India. AI stack includes claude, codex, and cursor."
image: "https://tal.club/meet/archit-sharma-1/share-image"
---

# Archit Sharma on Tal

## Headline

Engineering at PitchSense \| Revenue Intelligence

## About

Fintech\-focused senior engineer with expertise in core payment systems and money movement\. Strong applied AI background, building production\-grade LLMs, RAGs, and agentic AI that automate enterprise workflows\. Known for combining strong system design fundamentals with measurable business impact\.

## Location

India

## AI stack

claude

codex

cursor

elevenlabs

langfuse

Braintrust

## Work experience

Founding Engineer 2 at PitchSense AI, May 2026 \- Present · 6 mos, • Contributing as a founding engineer at Pitch Sense AI by HSV Digital, focusing on backend architecture and agentic AI systems\. • Played a pivotal role in developing Pitch Sense AI, an AI\-native Revenue Intelligence platform for revenue teams\. • Led backend team, researching and designing robust AI systems and memory solutions\.

Senior Software Engineer at Paymentus, Feb 2026 \- May 2026 · 4 mos, Led the design and implementation of payment infrastructure powering virtual card issuance, unlocking new monetization opportunities and expanding payment acceptance capabilities\. • Architected and built a scalable payout orchestration platform for insurance workflows, supporting secure multi\-vendor disbursements, settlement reconciliation, and complex business rules\. • Owned backend architecture and development of Node\.js and Spring\-based microservices operating in regulated payment environments, handling high\-volume transaction processing and financial workflows\. • Drove the migration of 50\+ enterprise bill payment clients from JPMC to Paymentus, ensuring operational continuity and accelerating platform adoption\. • Designed modular financial workflow systems including claims processing, document management, audit tracking, and reporting infrastructure\. • Served as a technical lead for cross\-functional initiatives, driving system design reviews, production incident resolution, performance optimization, and engineering

Software Engineer at Paymentus, Jul 2022 \- Mar 2026 · 3 yrs 9 mos, • Developed backend services and APIs supporting digital payment, billing, and financial reporting products across the Paymentus platform\. • Introduced a new walk\-in cash payment capability through Green Dot integration, expanding bill payment accessibility for underbanked consumers\. • Built financial record\-keeping and reporting systems that improved reporting performance by 15% and reduced client onboarding timelines by 70%\. • Contributed to payment processing, claims management, and vendor integration workflows using Java, Spring Boot, Node\.js, Oracle, and cloud\-native technologies\. • Collaborated with product, QA, and business stakeholders to deliver complex payment solutions while maintaining reliability, compliance, and scalability\.

Software Engineer at Paymentus, Feb 2022 \- Jul 2022 · 6 mos, \- Working on modules of core Java and web design technologies like Spring, ReactJS and Node\. \- Designing databases and queries in SQL to fetch and process data\." \- Working on ORM frameworks like hibernate, and other Java frameworks like spring\. \- Building Full stack applications on MERN

Business Analyst at Kofluence, Sep 2021 \- Jan 2022 · 5 mos, \- Entrusted with analysing multiple influencer marketing campaigns for their effectiveness and relevance to the current market standard\. \- Compiled resources as a presentable report for the brands to highlight the campaigns and its insights into the relevant audience \- Worked extensively on google sheets / excel to compile, organize data and gain insights from it\. \- Contributed in data extrapolation, KPI research according to brand and business needs along with sheets analysis automation\.

Python Developer at DeepKlarity, Sep 2020 \- Nov 2020 · 3 mos, \- The work during the internship focused on the Open Source Domain and the projects that followed ranging from the documentation, blogs to actual code writing\. \- The projects covered required frontend / backend web development including training and deploying machine Learning models on the web apps\. \- Worked extensively on Data Scarping using Selenium, Scrappy, bs4 etc\. and deploying the web apps online \.

Data Engineer at CSIR\-Institute of Himalayan Bioresource Technology, Dec 2019 \- Jan 2020 · 2 mos, Palampur, \- Entrusted as a Machine Learning and Data Engineer\. Working on a biological dataset for discrimination of the plant immune\. \- Optimized the Network Guided Forest \(NGF\) Algorithm for more efficiency\. Worked with visualization libraries like NetworkX, Matplotlib, Seaborn\.

## Education

Bachelor of Technology \- BTech, Computer Science, Jaypee University of Information Technology

Computational Science, Jaypee University of Information Technology

[View the original profile](https://tal.club/meet/archit-sharma-1)

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