Harsh Vardhan

Software Engineer

Delhi, India1 yr 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Python backend and AI-driven systems.
Proven experience in building scalable REST APIs.
Skilled in developing LLM-powered applications.

Stackforce AI infers this person is a Backend-focused Software Engineer in the SaaS industry with expertise in AI systems.

Contact

Skills

Core Skills

PythonFlaskRetrieval-augmented Generation (rag)Llm SystemsAi Systems

Other Skills

API developmentPostgreSQLOllamaQdrantNatural Language ProcessingChatbot developmentMulti-modal systemsArtificial Intelligence (AI)Agentic AI DevelopmentComputer NetworkingLangChainFront-End DevelopmentReact.jsJavaScriptC++

About

I am a Software Engineer specializing in Python backend development and AI-driven systems. Currently working at Createch Software (reporting to DGIS, Ministry of Defence), I build production-ready applications integrating LLMs, RAG pipelines, and scalable REST APIs. My core focus lies in designing efficient backend architectures and performance-oriented AI systems. I have hands-on experience building offline LLM applications using Ollama, implementing semantic search with Qdrant, and developing end-to-end RAG solutions for document intelligence. Beyond AI systems, I work extensively with Flask, PostgreSQL, and API-driven architectures to build secure, reliable, and maintainable backend services. I am particularly interested in solving problems around system scalability, latency optimization, and intelligent automation. I enjoy building systems that are not just functional, but robust, efficient, and production-ready.

Experience

1 yr 7 mos

Total Experience

1 yr 7 mos

Average Tenure

1 yr 7 mos

Current Experience

Createch software (p) ltd

2 roles

Software Engineer

Nov 2024 – Present · 1 yr 7 mos · New Delhi · On-site

Designed and developed production-grade backend systems using Python and Flask, building scalable REST APIs for internal and AI-driven applications.
Built an offline RAG (Retrieval-Augmented Generation) system using Ollama and Qdrant for secure document querying and semantic search.
Developed an LLM-powered natural language to SQL engine enabling database interaction through conversational prompts.
Engineered multi-modal chatbot systems integrating text, audio, and document translation workflows.
Implemented performance-conscious backend architectures optimized for low-latency inference and efficient data retrieval.
Built CRUD-based offline applications with robust API design and seamless data operations.
Integrated GeoServer for offline map visualization and geospatial data workflows.

PythonFlaskRetrieval-Augmented Generation (RAG)LLM systemsAPI developmentPostgreSQL