Engineering at PitchSense | Revenue Intelligence







Palampur







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

Computational Science
Jaypee University of Information Technology
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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.
India
claude
codex
cursor
elevenlabs
langfuse
Braintrust
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.
Bachelor of Technology - BTech, Computer Science, Jaypee University of Information Technology
Computational Science, Jaypee University of Information Technology