Aniesh Gundam
Aniesh Gundam

Backend Software Engineer / Generative AI Engineer

Open to offers · Member since 19 Oct 2026
Location
Hyderabad, India
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Junior

About

Professional summary

I am a Backend Software Engineer specializing in Generative AI applications, scalable backend systems, and agentic workflows. I have over one year of experience building production-grade services using Python, FastAPI, REST APIs, and cloud-native architectures.

I design and develop LLM-powered systems, including RAG pipelines, Text-to-SQL applications, AI chat platforms, and multi-agent orchestration solutions. My work focuses on making AI capabilities reliable, scalable, and useful within enterprise products.

I have experience building event-driven and distributed systems with Azure Functions, Azure Event Grid, Redis, Celery, and PostgreSQL. I am comfortable designing asynchronous processing pipelines, real-time SSE streaming, background tasks, and multi-tenant backend services.

I have contributed to AI platforms for private equity workflows, including due diligence, deal screening, document intelligence, and structured data analysis. I enjoy solving complex backend and AI integration challenges that accelerate business decision-making.

I hold a Bachelor of Technology in Computer Science with a specialization in Data Analytics from Vellore Institute of Technology. I continuously develop my cloud and AI engineering knowledge, including earning the AWS Solutions Architect – Associate certification.

Skills

19 capabilities

Tech stack & tools

Working toolkit

Application Hosting

Data Stores

Development

Languages & Frameworks

Experience

Career history

Software Engineer I Infinite Possibilities LLC

Built a Model Context Protocol server that provides unified REST API tool access for AI agents through SSE and HTTP streaming. Implemented multi-tenant connector management and Redis-based context sharing.

Developed LLM-powered applications including an AI artifact generation system, a Text-to-SQL pipeline with iterative SQL validation over PostgreSQL, and a real-time AI chat platform with streaming, tool execution, conversation memory, and multi-provider model support.

Designed a centralized prompt and configuration service with schema validation, versioning, and Redis caching. Engineered distributed DAG-based AI workflows that dispatch parallel work to Azure Functions through Azure Event Grid, and developed tool-augmented multi-agent systems using Agno.

Backend Engineer Intern Infinite Possibilities LLC

Built a document ingestion pipeline with convert, extract, chunk, and embed stages using Azure Functions. Supported semantic retrieval through Azure AI Search and HNSW vector indexing.

Implemented scalable direct document uploads using Azure Blob Storage SAS URLs, with Azure Event Grid and Storage Queues orchestrating asynchronous processing. Built Celery scheduled tasks for background automation, managed Alembic database migrations, and supported FastAPI backend services.

Education

Learning history

Vellore Institute of Technology

Bachelor of Technology, Computer Science (Data Analytics)

GPA: 8.71 / 10.0.

This professional hasn’t added portfolio projects yet.

This professional hasn’t listed any services yet.

Jobs Talent AI Tools Salaries
Menu