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Archit Sharma

Engineering at PitchSense | Revenue Intelligence

India

5+ years of work experience

PitchSense AI
May 20266 mosPresent

• 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.
Paymentus
Feb 20264 mosMay 2026

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
Paymentus
Jul 20223 yrs 9 mosMar 2026

• 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.
Paymentus
Feb 20226 mosJul 2022

- 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
Kofluence
Sep 20215 mosJan 2022

- 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.
DeepKlarity
Sep 20203 mosNov 2020

- 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 .
CSIR-Institute of Himalayan Bioresource Technology
Dec 20192 mosJan 2020

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.

Archit’s AI Stack

claude
claude
codex
codex
cursor
cursor
elevenlabs
elevenlabs
langfuse
langfuse
Braintrust
Braintrust

Education

Jaypee University of Information Technology

Bachelor of Technology - BTech, Computer Science

Jaypee University of Information Technology

20184 yrs2022
Jaypee University of Information Technology

Computational Science

Jaypee University of Information Technology

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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

Archit Sharma - Founding Engineer 2 in India | Tal