o
orderlum

Gopal Kalawate

@orderlum

Software Engineering Studio

India
Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
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.... Continua a leggere

Competenze

o
orderlum
Gopal Kalawate
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Applicazioni web full stack
I will create software and ai tools

Esperienza lavorativa

Software Engineer

Hungaroton • Full time

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