Adarsh Rao profile photo 1 on Tal

Adarsh Rao

Building Scalable Full-Stack Applications @ Mastercard | AI | Machine Learning

Greater Bengaluru Area

5+ years of work experience

Mastercard
Mar 20267 moPresent

Pune

Operational Reports 2.0: issuers, acquirers and affiliates use it to find, subscribe to and download 400+ payment reports. 20,000 users worldwide. Own the frontend for the whole app (report search, chatbot, recommendations, subscriptions, exports), working with product and business owners as requirements kept changing. I also handle production incidents, tracing them through Splunk logs. Built the frontend and the report-matching logic for the app's production RAG chatbot. Answers that mention a report show a different card depending on whether the user is subscribed to it. I also took part in the UI/UX discussions on the generative UI. Prototyped an on-device search agent on Chrome's built-in LLM, with no server round trip. Chrome has no native function calling, so a JSON-Schema-constrained intent extractor turns natural language into a typed query, calls the real backend API and feeds the results back for a summary. It also exposes a WebMCP tool schema. Built and demoed internal LLM agents (a defect-solver bot, a feature-implementation bot and automated testing agents) that got the team using AI tools in its development workflow. Owned the microservices, frontend and ETL pipeline work for the modernization initiative that moves the platform's services to microservices on AWS under PCI-DSS, where nothing can be stored unencrypted at rest, while keeping live services running. Led the rewrite from Angular to React, cutting load time by 75% (Largest Contentful Paint from 6s to 1.5s). Split the Billing Query Tool out of the monolith into its own micro-frontend with its own Jenkins CI/CD pipelines, and owned its release to production. 500+ users. Measured a 69% to 81% drop in logging tail latency (p99 and p99.9 at 8 threads) with a JMH benchmark, then wrote a hybrid design backed by a crash-loss simulation and a phased canary rollout. It was adopted into follow-up work.
Mastercard
Jun 20241 y 9 moMar 2026

Pune, Maharashtra, India

Designed and shipped a full-stack admin tool in Java, Spring Boot, Angular and Oracle SQL: schema, REST APIs, 4 roles and a multi-stage approval flow with rollback and an audit trail. It replaced a quarterly release cycle for metadata updates with on-demand self-service. Tracked 75K to 150K user events a day, which the team used to decide what to build and what to retire. Brought the legacy app up to WCAG accessibility standards. Built a text-to-SQL and RAG prototype over a catalog of 400+ reports, on a self-hosted LLM with pgvector search. I engineered the retrieval and prompting from natural language to SQL to a summarized answer, and demoed it to engineering directors.
Centre for Innovation and Incubation, NITW
Aug 202310 mosMay 2024

Provided strategic guidance to emerging startups in recognizing opportunities for technology-driven business transformation. Orchestrated Hackathons and coding events for the student community during my college tenure. Collaborated with companies to establish educational programs for students, while also assuming a leadership role in a developer team dedicated to crafting inventive solutions.
Literary and Debating Club, NITW
Jun 20231 yrMay 2024

On-site

Mastercard Data & Services
May 20233 mosJul 2023

Pune, Maharashtra, India

Developed a comprehensive framework to safeguard vital databases supporting core product solutions. Enhanced efficiency of current backup protocols through iterative refinements and introduced innovative strategies to streamline and automate data backup processes.
Literary and Debating Club, NITW
Oct 20229 mosJun 2023

Warangal, Telangana, India

CoffeeBeans
Jun 20222 mosJul 2022

Bengaluru, Karnataka, India

Created a Learning To Rank algorithm using LambdaMart to facilitate the ranking of news articles for a major newspaper client. Employed word embeddings to position news pieces within an embedding space, and incorporated diverse metrics to effectively prioritize articles. Pioneered the development of a robust recommendation system based on these principles.
Centre for Innovation and Incubation, NITW
Jun 20212 yrs 3 mosAug 2023

Provided consultation services to emerging startups, pinpointing opportunities for leveraging technology to revolutionize their operations. Organized dynamic Hackathons and coding events targeting the student community during college tenure.
GitHub
@SA4DRAO
Personal portfoliosa4drao.github.io

Adarsh’s AI Stack

claude code
claude code
claude
claude
langchain
langchain
langgraph
langgraph
Qwen
Qwen

Education

National Institute of Technology warangal

Bachelor of Technology, Computer Engineering

National Institute of Technology warangal

20204 yrs2024
Alpine public school

Alpine public school

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Headline

Building Scalable Full-Stack Applications @ Mastercard | AI | Machine Learning

About

Computer Science Graduate from NIT Warangal | Passionate about AI, Machine Learning, and emerging technologies | Love to stay updated with industry trends and standards | Excited to contribute to innovative projects and connect with fellow professionals in the dynamic world of technology.

Location

Greater Bengaluru Area

AI stack

claude code

claude

langchain

langgraph

Qwen

Work experience

Software Engineer II at Mastercard, Mar 2026 - Present · 7 mo, Pune, Operational Reports 2.0: issuers, acquirers and affiliates use it to find, subscribe to and download 400+ payment reports. 20,000 users worldwide. Own the frontend for the whole app (report search, chatbot, recommendations, subscriptions, exports), working with product and business owners as requirements kept changing. I also handle production incidents, tracing them through Splunk logs. Built the frontend and the report-matching logic for the app's production RAG chatbot. Answers that mention a report show a different card depending on whether the user is subscribed to it. I also took part in the UI/UX discussions on the generative UI. Prototyped an on-device search agent on Chrome's built-in LLM, with no server round trip. Chrome has no native function calling, so a JSON-Schema-constrained intent extractor turns natural language into a typed query, calls the real backend API and feeds the results back for a summary. It also exposes a WebMCP tool schema. Built and demoed internal LLM agents (a defect-solver bot, a feature-implementation bot and automated testing agents) that got the team using AI tools in its development workflow. Owned the microservices, frontend and ETL pipeline work for the modernization initiative that moves the platform's services to microservices on AWS under PCI-DSS, where nothing can be stored unencrypted at rest, while keeping live services running. Led the rewrite from Angular to React, cutting load time by 75% (Largest Contentful Paint from 6s to 1.5s). Split the Billing Query Tool out of the monolith into its own micro-frontend with its own Jenkins CI/CD pipelines, and owned its release to production. 500+ users. Measured a 69% to 81% drop in logging tail latency (p99 and p99.9 at 8 threads) with a JMH benchmark, then wrote a hybrid design backed by a crash-loss simulation and a phased canary rollout. It was adopted into follow-up work.

Software Engineer 1 at Mastercard, Jun 2024 - Mar 2026 · 1 y 9 mo, Pune, Maharashtra, India, Designed and shipped a full-stack admin tool in Java, Spring Boot, Angular and Oracle SQL: schema, REST APIs, 4 roles and a multi-stage approval flow with rollback and an audit trail. It replaced a quarterly release cycle for metadata updates with on-demand self-service. Tracked 75K to 150K user events a day, which the team used to decide what to build and what to retire. Brought the legacy app up to WCAG accessibility standards. Built a text-to-SQL and RAG prototype over a catalog of 400+ reports, on a self-hosted LLM with pgvector search. I engineered the retrieval and prompting from natural language to SQL to a summarized answer, and demoed it to engineering directors.

Tech Team Lead at Centre for Innovation and Incubation, NITW, Aug 2023 - May 2024 · 10 mos, Provided strategic guidance to emerging startups in recognizing opportunities for technology-driven business transformation. Orchestrated Hackathons and coding events for the student community during my college tenure. Collaborated with companies to establish educational programs for students, while also assuming a leadership role in a developer team dedicated to crafting inventive solutions.

Additional Secretary at Literary and Debating Club, NITW, Jun 2023 - May 2024 · 1 yr, On-site

Software Engineer Intern at Mastercard Data & Services, May 2023 - Jul 2023 · 3 mos, Pune, Maharashtra, India, Developed a comprehensive framework to safeguard vital databases supporting core product solutions. Enhanced efficiency of current backup protocols through iterative refinements and introduced innovative strategies to streamline and automate data backup processes.

Executive Member at Literary and Debating Club, NITW, Oct 2022 - Jun 2023 · 9 mos, Warangal, Telangana, India

Data Science Intern at CoffeeBeans, Jun 2022 - Jul 2022 · 2 mos, Bengaluru, Karnataka, India, Created a Learning To Rank algorithm using LambdaMart to facilitate the ranking of news articles for a major newspaper client. Employed word embeddings to position news pieces within an embedding space, and incorporated diverse metrics to effectively prioritize articles. Pioneered the development of a robust recommendation system based on these principles.

Tech Team Member at Centre for Innovation and Incubation, NITW, Jun 2021 - Aug 2023 · 2 yrs 3 mos, Provided consultation services to emerging startups, pinpointing opportunities for leveraging technology to revolutionize their operations. Organized dynamic Hackathons and coding events targeting the student community during college tenure.

Education

Bachelor of Technology, Computer Engineering, National Institute of Technology warangal

Alpine public school

Public links

github: https://github.com/SA4DRAO

sa4drao.github.io: https://sa4drao.github.io/