Open to opportunities

Anushka Garg

@anushkagarg1

Message

I build NLP/LLM and RAG systems, combining agentic AI with reliable backend pipelines for production-ready automation.

India

Message

What I'm looking for

I’m looking for a role where I can build production-grade NLP/LLM and RAG systems—ideally with agentic workflows—while partnering on reliable backend/data pipelines, thoughtful evaluation, and maintainable architecture.

I’m an AI-focused engineer working across NLP, LLMs, and RAG, with a strong bias toward turning research ideas into dependable systems. In my current role, I develop event-driven, serverless AWS pipelines and automate validation/audit workflows to reduce manual review before production submission.

I build end-to-end applications that pair AI capabilities with solid data and orchestration. I created an AI-powered OSINT knowledge graph platform using FastAPI, Neo4j, and Gemini API, plus a React Flow explorer for interactive entity traversal.

I also design long-running agent workflows and privacy-first retrieval systems. I built a Temporal-based “Order Supervisor” that manages an order from creation to completion using persistent, model-agnostic orchestration, and I developed a Local PDF RAG assistant with LangChain, ChromaDB, and local LLMs for source-attributed answers without external API data transfer.

Experience

Work history, roles, and key accomplishments

Current

Associate Software Engineer

Current

Jet Technologies

Jun 2026 - Present (1 month)

Developing event-driven, serverless AWS pipelines (Lambda, SQS, SAM) to automate insurance policy validation and processing ahead of production submission. Building automated validation and audit workflows to catch policy inconsistencies and reduce manual review effort.

AWS Lambda Amazon SQS AWS SAM Serverless Event Driven Architecture Automation Audits Production Workflows

Tech Team Member

Artificial Intelligence Society

Tech team member at the Artificial Intelligence Society.

Education

Degrees, certifications, and relevant coursework

Bennett University

Bachelor of Technology, Computer Science

2023 - 2027

Activities and societies: Tech team member, Artificial Intelligence Society; relevant coursework includes Data Structures & Algorithms, OOPs, Operating Systems, Computer Networks, and High-Performance Computing.

Pursuing a B.Tech in Computer Science at Bennett University (2023–2027), with relevant coursework in data structures, OOPs, operating systems, computer networks, and high-performance computing. Served as a tech team member in the Artificial Intelligence Society.