o
orderlum

Gopal Kalawate

@orderlum

Software Engineering Studio

India
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
I am a software engineer and product developer at Ordelum, specializing in building custom digital products, backend systems, and AI-powered applications. I take end-to-end ownership of the engineering process, from initial architecture and database design to deployment and automation. My expertise includes Python, Django, Node.js, and integrating LLMs into robust business workflows.... Lee más

Habilidades

o
orderlum
Gopal Kalawate
desconectado • 
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Revisa mis servicios

Aplicaciones Full Stack Web
I will create software and ai tools
DeUSD 50 / proyectoMás información

Experiencia laboral

Software Engineer

Hungaroton • Tiempo completo

Jun 2025 - Present • 1 yr 4 mos

## BACKEND & AI EXPERIENCE ### Backend Engineering I have hands-on experience building and maintaining production backend systems using **Python, Django, Django REST Framework, PostgreSQL, Redis, SQL, and REST APIs**. My backend experience includes: - Designing and building production REST APIs and backend services - Designing relational databases and complex data models - PostgreSQL optimization, indexing, full-text search, and fuzzy search - Building location-aware systems using **PostGIS and geospatial queries** - Using Redis for caching and performance optimization - Implementing authentication, authorization, and role-based access control - Integrating third-party APIs and external services - Building real-time operational workflows - Debugging and improving existing production systems - Designing scalable backend architectures I focus on building backend systems that are **reliable, maintainable, secure, and production-ready**. ### AI Engineering I have experience integrating AI into production applications and business workflows, with a focus on building **useful AI-powered software rather than simple chatbot interfaces**. My AI experience includes: - Building AI-powered chatbots and assistants - Integrating LLM APIs into existing applications - AI-powered workflow automation - Image generation integrations - SQL-aware AI systems - AI-generated SQL validation and rewriting - Role-based access control for AI-driven database interactions - Scalable chat-history storage and retrieval - Reducing unnecessary LLM token usage - Building application-level guardrails around AI outputs - Connecting AI systems with backend services and databases - Exploring AI agents and tool-based workflows I have worked on an **enterprise AI chatbot** involving image generation, SQL-aware guardrails, scalable chat-history retrieval, middleware, and SQL-rewriting pipelines. The system interacted with production data while enforcing access-control rules and protecting the unde