Frontend
Next.jsReact.jsTypeScriptJavaScriptTailwind CSSshadcn/uiMapLibre GL
Open to Full Stack & AI Opportunities
Souvik Nath
Full Stack Engineer & AI Developer
I build scalable full-stack and AI-powered applications using Next.js, TypeScript, Python, Django, FastAPI, and PostgreSQL. My work spans production APIs, Agentic AI workflows, tool calling, RAG, semantic search, event-driven systems, and cloud-deployed SaaS products.
3+
Years of Experience
30+
Production REST APIs
AI + Fintech
Engineering Focus
Tech Stack
Technologies I use to build scalable full-stack applications, production APIs, Agentic AI systems, AI-powered products, and cloud-deployed platforms.
Backend
PythonDjango & DRFFastAPISQLAlchemyRESTful APIsCelery & RedisKafkaWebSockets
AI & GenAI
OpenAI APIAgentic AILangGraphTool CallingStructured OutputsRAGEmbeddingsSemantic SearchVector SearchPrompt Engineering
Database
PostgreSQLNeonCockroachDBMySQLMongoDBRedispgvector
DevOps & Cloud
Docker & ComposeGitHub ActionsCI/CD PipelinesGCP & AWSVercelRenderRailwayCloudflare R2
Building scalable full-stack systems and reliable AI workflows.
Selected Work
Featured Projects
AI-powered products and fintech systems built with scalable full-stack architecture, agentic AI workflows, production APIs, asynchronous processing, and modern cloud technologies.
Agentic AI
VoyageAI
Agentic AI Travel Planner
A full-stack Agentic AI travel planning platform that transforms destinations, dates, budgets, interests, and travel preferences into personalized day-by-day itineraries using grounded research, validation, and automatic re-planning.
Key Highlights
- Built a stateful Agentic AI workflow using LangGraph for trip research, itinerary generation, validation, and bounded re-planning.
- Integrated external travel tools for grounded destination, places, and weather research instead of relying only on LLM knowledge.
- Persisted trips, itineraries, agent runs, execution steps, and tool calls using FastAPI, SQLAlchemy, and PostgreSQL.
AI-Powered SaaS
Aura Finance
AI-Powered Personal Finance Assistant
A full-stack personal finance platform that transforms financial documents into structured transactions, intelligent categories, semantic search results, and personalized financial insights.
- AI-powered extraction from PDF, CSV, receipts, invoices, and financial images.
- Hybrid transaction parsing and categorization using rules, OpenAI, and asynchronous processing.
- Semantic search and similarity matching using embeddings, pgvector, and RAG techniques.
Next.jsTypeScriptDjango REST FrameworkPostgreSQLOpenAI APICeleryRedispgvector
Enterprise Fintech Platform
Project visuals are private due to company confidentiality
Enterprise Fintech
MvLEND
Composable Core Banking & Lending Platform
An enterprise digital lending platform supporting borrower onboarding, loan origination, repayment tracking, fund disbursement, account management, and operational reporting.
- Built REST APIs across loan origination, repayments, account management, and transaction workflows.
- Implemented Kafka-based event-driven messaging for asynchronous and decoupled transaction processing.
- Developed secure workflows using JWT authentication, RBAC, and scalable backend architecture.
DjangoDRFFastAPIKafkaCockroachDBNext.jsTypeScriptGCP
Company project — source code and live application are not publicly available.
Work Experience
Professional Journey
Building secure, scalable, and production-ready fintech applications across frontend, backend, asynchronous processing, and cloud deployment.
Software Engineer, Python Full Stack
Gowdanar Technosoft Pvt Ltd
Bangalore, India
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.
Open to Full Stack & AI Opportunities
Let's Build Something Meaningful
I'm open to full-stack, backend, and AI application opportunities where I can contribute to scalable products, production APIs, intelligent workflows, and modern cloud-based systems.