Rahul Verma
Deployed Engineer @ LangChain
About
I have several years of experience spanning software engineering, sales, and product management. I believe that generative AI will transform our world for the better, and I am excited to use my skills to help make that happen!
United States
New York
Computer Software
Python, Java, Apache Spark, OpenStack, Research, UNIX, C, SQL, Django, Git, HTML, Basic CSS, Basic Javascript, Vim, Lisp, Public Speaking, Data Analysis, Teaching, Linux, CSS
Experience

Senior Software Engineer
AppliedXL uses AI to summarize vast public data sources to extract valuable insights for investors, journalists, and others. Notable customers include Bloomberg and the Associated Press. - Develop multistage LangChain + LangGraph AI agents to use LLMs to extract and self-validate information from raw data - Design infrastructure for deployment and RAG, using Postgres, Neo4J, Elastic Search, FastAPI, React, and AWS - Develop tooling, processes, and metrics to evaluate agent peformance - Mentor other engineers, review code, and promote engineering best practices

Senior Software Engineer
New York, New York, United States
(Position was eliminated May, 2024 due to company restructuring) ModernFi is building the first fully integrated, API-driven deposit network for financial institutions. Investors include a16z and Canapi Ventures. Notable projects: - Designed a system to handle month-end interest payouts across the network from banks to depositors, and wrote code to manage wire transfers and the associated ledgering. - Resigned product management process after collecting feedback from across the company - Contributed to designing and executing a comprehensive testing plan to ensure the entire network was ready for initial launch Coded mostly in Go, with some front end work in TypeScript. Managed infrastructure in AWS, primarily using ECS and SQS. Used MongoDB for data persistence.

Software Engineer
New York, New York, United States
Sandbar's mission is to improve the health of the global financial system by fighting money laundering and other financial crimes. Investors include Lachy Groom, Abstract Ventures, and Box Group. As the second engineer hired, I helped take our product from a command line-based POC to an end-to-end AML solution in use by live customers. Notable projects: - Devised a customizable system to screen for individuals facing US sanctions, with support for fuzzy name matching and location matching. - Turned the federal government's 182-page specification for suspicious activity reports (SAR) into a multi-page, user-friendly web form in our React app, and wrote the Java back end to convert user input into an XML document conforming to the Treasury Department's specifications - Designed and implemented a data translation system to speed up customer onboarding by allowing Sandbar to understand data from third party services our customers use. The system allows nontechnical Sandbar employees who have financial domain knowledge to define the translations. - Designed onboarding process for our first customers and advised them through launch

Solutions Architect
San Francisco, California, United States
VGS is a leading data security and enablement company, backed by Andreessen Horowitz, Visa, and Goldman Sachs. I used my technical background to support all aspects of VGS's go-to-market activities. Notable accomplishments include: - Designed complex integrations involving VGS, our customers, and third parties, and led implementation across internal and external teams. - Prototyped features combining VGS and other FinTech innovations to further strategic business initiatives - Worked with business development to identify and develop potential partnerships - Helped sales team close deals with customers ranging from stealth-mode startups to Fortune 500 companies by articulating VGS's value to technical and non-technical stakeholders - Accelerated sales process by leading trainings for salespeople, creating internal and external documentation, and building demos for key use cases - Managed beta feature deployment to select customers and channeled feedback to the product team - Embedded with product teams to consult on new customer-visible features - Represented VGS at conferences and to industry analysts - Created articles, blog posts, and videos for marketing

Solutions Engineer
San Francisco Bay Area
I advised Square's partners and largest customers on leveraging our full ecosystem of products to do more than simple payment processing for low-volume operations. Square is building new ways to power various operations, including e-commerce, inventory and catalog management, team management, and CRM. The functionality is available through a combination of our hardware, first-party software, and API. My work included: - Guiding partners through designing and implementing complex integrations using various parts of Square's functionality; examples include e-commerce payment integrations using our online payment APIs, bespoke point of sales using our in-person payment SDKs, and labor management software using our data APIs - Protecting Square merchants by ensuring partner integrations meet rigorous quality standards before launch, particularly in terms of usability and security - Working with prospective partners to identify potential integrations and verify their technical feasibility - Identifying platform and feature enhancements to unlock upmarket opportunities, and advocate for their development to product teams across Square - Helping sales close and manage important accounts using my extensive knowledge of our product and how our partners extend our functionality; I work especially closely with our enterprise team, which pursues accounts with $20MM and above in credit card payments volume - Developing reference implementations demonstrating how to build with our APIs according to our best practices

Product Delivery Engineer
San Francisco Bay Area
Through various tasks spanning product management, deployment support, and technical leadership, I worked to further Socotra's product, a modern, end-to-end software platform designed to revolutionize the core of insurance companies' operations. During my time, I: - Gathered product requirements and prioritized features in collaboration with various internal and external stakeholders, including the CEO, deployment owners, and our customers - Delivered requirements to engineers and reported back to the rest of the team on project statuses - Wrote documentation and reference implementations for new functionality - Led trainings on how to use Socotra for customers and helped create a formal certification process - Led onboarding for new hires as the product team doubled in size over the course of six months - Built and maintained key customer integrations, primarily in Python and within the AWS ecosystem (e.g. Lambda, API Gateway, CloudWatch) - Participated in the planning of a major refinement of our data model, as well as its phasing in over the course of a year; this led to an order of magnitude of increase in the number and size of the company's sales - Built several pieces of the core platform functionality, mostly in Java but also some JavaScript (React framework) and Python

Software Engineering Intern
Cambridge, MA
- Worked with the Norton Business Unit as a member of the Norton Secure Login/Single Sign On Agile team. - Fixed bugs and helped implement features across the full stack of the project. - Wrote code in Java, using Spring as an MVC, Apache Tomcat for the backend, and JSP servelets on the front end. Frequently used the JUnit testing framework.
Rahul Verma's Contact Information
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