Aastha Bansal

Software Engineer

Delhi, India2 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Architected a GenAI-powered RAG solution saving 3.5k+ hours annually.
Designed a micro-service architecture for enterprise applications.
Streamlined rental operations with API integration, boosting transactions.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and Microservices architecture.

Contact

Skills

Core Skills

Generative AiMicroservices ArchitectureNatural Language ProcessingWorkflow AutomationDatabase ManagementContainerizationApplication ModernizationApi DevelopmentBig Data Processing

Other Skills

OpenAI APIsLangChainFAISSChainlitCamunda BPMMessaging QueuesLangGraphStreamlitChromaDBPostgreSQLDockerKubernetesJenkinsSpring BootDjango

About

I’m a Software Engineer with experience building scalable applications using Java, Spring Boot, and microservices architecture. I’ve worked on workflow-driven enterprise systems, distributed services, and modernizing applications My experience includes working with Camunda BPM, Kubernetes-based deployments, CI/CD pipelines, and monorepository architectures, with a focus on writing secure, well-tested, and maintainable code. I’m also exploring Generative AI and Retrieval-Augmented Generation (RAG) systems using LLMs.

Experience

2 yrs 9 mos

Total Experience

2 yrs 6 mos

Average Tenure

3 mos

Current Experience

Microsoft

Software Engineer

Mar 2026 – Present · 2 mos · Bengaluru · On-site

Morgan stanley

3 roles

Software Engineer II

Promoted

Oct 2024 – Mar 2026 · 1 yr 5 mos · On-site

Architected and delivered a GenAI-powered Retrieval-Augmented Generation (RAG) solution using OpenAI APIs, LangChain, FAISS, and Chainlit to extract insights from unstructured financial documents, reducing manual research time from 1.5 hours to under 2 minutes—projected to save 3.5k+ annual hours.
Built an AI-driven Natural Language to SQL chatbot (LangGraph, Streamlit, ChromaDB), adding agentic workflows, SQL
validation, and prompt engineering to democratize data access across the org.
Designed workflow service, to orchestrate various tasks using Camunda 7 which catered to multi-tenancy and OAuth2 based authorisation for applications under different domains.
Integrated Messaging Queues optimising message handling for reliable communication between microservices.
Worked on streamlining access management by simplifying the entitlement models.

OpenAI APIsLangChainFAISSChainlitCamunda BPMMessaging Queues+2

Technology Associate

Jan 2024 – Oct 2024 · 9 mos · On-site

Standardised database management by adopting Runway (Liquibase) for PostgreSQL.
Containerised the application using Docker , deployed on Kubernetes and configured flexible Jenkins jobs, aligning with team
Spearheaded a critical migration from AngularJS to React to ensure code integrity and mitigate vulnerabilities.

PostgreSQLDockerKubernetesJenkinsDatabase ManagementContainerization

Technology Analyst

Aug 2023 – Jan 2024 · 5 mos · On-site

Designed and implemented a micro-service architecture-based application using SpringBoot.
Focused on modernisation initiatives such as removing legacy dependencies like Kerberos, leading efforts to make projects cloud-ready.

Spring BootMicroservices ArchitectureApplication Modernization

Crib

Software Engineer Intern

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · Remote

Architected diverse REST APIs in Django and spearheaded pivotal marketplace feature, food management, third-party integration including Zoho and Surepass, streamlining rental operations by 40%, enhancing user experience, and boosting transaction volume by 25% within the first quarter of implementation.

DjangoREST APIsPythonAPI Development

Microsoft

Software Engineer Intern

May 2022 – Jul 2022 · 2 mos · Hyderabad, Telangana, India · Remote

Part of the People Also Ask team of Microsoft Bing under Search Technology Centre India.
Worked on Blocklist Integration in the Fast Data Pipeline- ProjectQ i.e. PAA for News. Tech Stack used: C#.
Ran experiments on Big Data using Aether Platform and shifted the process from online to offline resulting in 30% reduced latency.

C#AetherBig Data Processing