3+ Years • Fintech • Full Stack • AI

Professional Experience

My experience spans enterprise fintech platforms, production-grade REST APIs, asynchronous processing, event-driven systems, database optimization, cloud deployment, and AI-powered SaaS applications.

I work across Next.js, TypeScript, Django, Django REST Framework, FastAPI, PostgreSQL, Celery, Redis, Kafka, Docker, GCP, and modern AI technologies including OpenAI, RAG, embeddings, and semantic search.

3+

Years Experience

40+

Production APIs

Fintech

Production Systems

Career Timeline

Professional Experience

Building enterprise fintech applications, production APIs, asynchronous services, secure workflows, and scalable cloud-based systems.

Software Engineer, Python Full Stack

Gowdanar Technosoft Pvt Ltd

Bangalore, India
Dec 2023 – Present

Key Contributions

Designed and developed scalable full-stack applications using Django REST Framework, FastAPI, Next.js, and TypeScript for enterprise fintech platforms.

Contributed to 40+ production-grade RESTful and asynchronous APIs supporting authentication, onboarding, lending, repayments, KYC verification, and transaction processing.

Optimized PostgreSQL queries, indexing strategies, and database schemas to improve API performance and response times.

Built asynchronous processing pipelines using Celery, Redis, and WebSockets for real-time updates and background task execution.

Implemented Kafka-based event-driven architecture to support scalable and decoupled backend services.

Applied clean architecture and microservices principles to improve code maintainability and service scalability.

Developed secure authentication systems using JWT and Role-Based Access Control (RBAC).

Containerized applications using Docker and Docker Compose, supporting CI/CD pipelines with GitHub Actions and deployments on Google Cloud Platform (GCP).

Integrated third-party APIs to automate workflows and enhance platform capabilities.

Collaborated with cross-functional teams following Agile/Scrum methodologies to deliver production-ready software.

Core Technologies

PythonDjangoDRFFastAPINext.jsTypeScriptPostgreSQLCeleryRedisKafkaDockerGitHub ActionsGCP

Engineering Impact

Key Contributions

Core areas of impact across enterprise fintech systems, production APIs, asynchronous processing, database performance, AI-powered SaaS products, and cloud deployment.

Secure Backend Systems

Built secure backend applications using Django REST Framework and FastAPI with JWT authentication, role-based access control, validation, and user-specific data isolation.

JWT AuthenticationRBACAPI ValidationProtected APIs

Production API Engineering

Contributed to 40+ production-grade RESTful and asynchronous APIs supporting authentication, onboarding, lending, repayments, KYC verification, and transaction processing.

40+ APIsDjango REST FrameworkFastAPIRESTful Services

Async & Event-Driven Systems

Built background processing and real-time workflows using Celery, Redis, WebSockets, and Kafka-based event-driven architecture for scalable and decoupled services.

CeleryRedisKafkaWebSockets

Database Performance

Optimized PostgreSQL queries, indexing strategies, and schemas for high-volume financial data while working with CockroachDB, MySQL, Redis, and pgvector.

PostgreSQLQuery OptimizationCockroachDBpgvector

AI-Powered SaaS Products

Built Aura Finance using OpenAI APIs, RAG, embeddings, semantic search, vector retrieval, and intelligent document processing for practical financial workflows.

OpenAI APIRAGEmbeddingsSemantic Search

Cloud & Deployment

Containerized services with Docker and Docker Compose, supported GitHub Actions CI/CD pipelines, and deployed applications across GCP, Railway, Vercel, and Cloudflare R2.

DockerGitHub ActionsGCPRailway & Vercel

Professional Focus

Building secure, scalable, and maintainable systems that combine production-grade backend engineering, responsive frontend experiences, cloud infrastructure, and practical AI.

40+ Production APIsEnterprise FintechEvent-Driven SystemsOpenAI & RAGDocker & CI/CDGCP Deployment