Headline

Engineering at Barclays | Barclays AI Chat | Quantexa | Financial Crime

About

Spearheading the development of a GenAI-powered framework to enhance Barclays' internal chat engine with context. Integrating diverse data sources including Barclays documentation, Confluence pages, PDFs, and internal systems to ensure comprehensive knowledge coverage. Designing and orchestrating a scalable Airflow pipeline for automated data ingestion, transformation, and indexing. Enabling enterprise-wide adoption of AI-driven knowledge assistance by ensuring high availability and seamless integration with internal tools. Driving efficiency and productivity by delivering context-aware responses for internal user queries, reducing manual documentation lookup. Built Data Fabric a framework to reduce footprint of traditional softwares like Abinitio and Informatica within the bank. Using capabilities of open source tech stack to update data engineering pipelines. Integrated different connectors along with setting permission roles for each service. Worked with Credit risk Team to introduce DF as an alternative to Abinitio processing 27 million records Worked in Compliance and experienced in engineering enterprise-level solutions. Quantexa certified. Experience in Money-Laundering (AML) Transaction Monitoring and Market Surveillance solutions for Capital Markets. Part of the core team. Extensive overall experience in shaping a project from idea to development. Worked with startups of varying scales in the past. Involved in application development Worked as a full-stack engineer switching between different tech stacks. Enjoy hackathons to have a steep learning curve. Drop in a msg to connect ! Programming Languages: JS, Python 🔸 Web programming: Node, HTML, Angular, CSS 🔸 Databases: PostgreSQL, MySQL 🔸 Operating Systems: UNIX/Linux, Windows 🔸 Cloud: AWS beginning (Glue, ec2, EMR, S3,EC2) Tools: 🔸Quantexa 🔸Dbt 🔸Alation Hackathons Won 🔸 Sri Maruti Hackathon(3rd Prize) 🔸 Chalaang 1.0 Tookitaki - Hackathon(3rd Prize) 🔸 All Things e-Commerce - GeTS Hackathon(3rd Prize) 🔸 Siron Labs (Top 7) 🔸 Nanban Hackathon (Top 5) 🔸 Barclays Hackathon (Runner Up) 🔸 Thoughtworks and Facebook Hackathon (Winner) Topmate Link : topmate.io/shruti_gupta2 Email : shruti0920.gupta@gmail.com Blogs written : https://shruti465.blogspot.com/2014/09/the-first-step-to-self-knowledge-is.html?showComment=1470072398627#c6490399957470091829

Location

Pune District

AI stack

cursor

railway

Work experience

Engineering at USCB at Barclays, Mar 2026 - Present · 5 mos, Building Naehas Offer Managaement application within Barclays

AWS Senior Data Engineer : CTO's office at Barclays Corporate & Investment Bank, Mar 2023 - Feb 2026 · 3 yrs, Hybrid, Airflow Adoption Framework – Barclays Designed and led the rollout of a scalable Airflow framework on Astronomer to enable seamless onboarding of multiple teams across the organization. Created reusable dev setups to streamline DAG development and ensure consistency across teams. Developed and validated a wide range of DAGs (S3, pgvector, Snowflake, Glue, Docker, dbt) to experiment with permission models, deployment configurations, and integration strategies. Built and integrated GitLab CI/CD pipelines to automate DAG deployments and promote best practices in code versioning, testing, and environment management. Enabled a standardized, secure, and production-ready platform for distributed data orchestration across the enterprise. Data Fabric Framework A framework to reduce footprint of traditional softwares like Abinitio and Informatica within the bank. Using capabilities of open source tech stack with the likes of Airflow, DBT and Alation . Integrated Great Expectations , Redshift , Athena , Snowflake , Glue , iceberg as part of the framework. Data Fabric Build Tool Techstack : Python , DBT , Aation , DBT-Expectations , Elementry , Airflow(ongoing) AWS : Step Function , EC2 , ECS , IAM , CloudFormation, Athena, Iceberg, Redshift , Glue , Lake Formation Ohers : Jenkins ,Sonarcube , Makefile , Snowflake Worked on Protegrity as a tool for covering PII data with Athena and Redshift.

Quantexa Engineer at Barclays Corporate & Investment Bank, May 2020 - Mar 2023 · 2 yrs 11 mos, Pune Division, Maharashtra, India, Working on the development of strategic anti-money laundering software that aims to reduce false positive cases in money laundering. Seeing the product's entire life cycle from scratch to finish. One of the first developers to be onboarded for Quantexa Markets project. Involved in daily dev activities which include feature implementation. Working for Quantexa UK : Version Migration New Data Source Ingestion Building domain knowledge in money laundering under Compliance team. Completed Quantexa certification Involved in designing architecture for Data Quality Framework, verifying compliance with internal needs and stakeholder requirements. Worked with Hornet team to address ad hoc requests and contribute towards internal activities Tech Stack : Scala, python, AWS, AngularJS

Full Stack Engineer at Delhivery, Jan 2019 - Mar 2020 · 1 yr 3 mos, Gurugram, Haryana, India, Involved in front and backend development.Learnt the importance/impact of software on the lives of people out there doing ground work making deliveries.Worked with last mile team to develop features end to end. Features delivered : AutoDisptach, Merge Dispatch and Gig Dispatches . One of most critical teams . Successfully optimized code for last mile with zero downtime in production. Revised, modularized and updated old code bases to modern development standards, reducing operating costs and improving functionality. Tech Stack: AngularJS,Python-Django,PostgreSQL.

Full Stack Engineer at Gurgaon Startup, Apr 2018 - Jan 2019 · 10 mos, Gurgaon, Haryana, India, Working here taught me to ship things over a weekend. Involved in end to end development for various POC's and a product . Worked as a full stack developer along with a role of UI design. Worked on these independently. 1)TradeIndia-Developed product recommendation system based on user location. 2)Dineout-Worked on an analytics project that provided insights into the monthly-weekly profits based on amount collected from restaurants and cashback availed by customers. 3)POC-Developed Style recommendation system based on color themes and pre defined looks 4)POCs for Paytm: a)ImageQC-Detect colors,blurred image,watermarks within images b)ChecueQC-Pre-Detect various fields defined in a cheque using Google Vision API TechStack used:Python,Django,PostgreSQL

Developer at Insurance, Sep 2017 - Mar 2018 · 7 mos, India, Insurance project

Education

Master of Engineering - MEng, Computer Systems Engineering, Lancaster University

BEng, Computer systems engineering, Lancaster University

Profile highlights

What's hard for others but easy for me…: I excel at bridging engineering, product, and business. My experience across startups and enterprise environments has given me this outlook