Seeking Full-Time Roles | Available for Freelance

Hi, I am Aman Virk.
Software Development Engineer & AI Specialist.

Computer Science graduate with expertise in building production-grade full-stack systems and AI/LLM applications.

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Aman Virk
Next.js
React
TypeScript
Node.js
Python
Tailwind CSS
MongoDB
AWS
Docker
Git
Next.js
React
TypeScript
Node.js
Python
Tailwind CSS
MongoDB
AWS
Docker
Git

My Expertise

What I bring to the table.

01. AI & LLM Integration

Building advanced Agentic RAG pipelines. Designing multi-agent architectures using LangGraph and LangChain. Implementing semantic search using ChromaDB and pgvector.

02. Full-Stack Development

Developing scalable microservices and full-stack applications. Designing robust RESTful APIs with Python, FastAPI, React.js, and TypeScript.

03. Cloud & DevOps

Offering technical architecture design. Managing AWS and Linux (Ubuntu) backend deployments. Setting up Dockerized CI/CD workflows for scalable production environments.

Professional Experience

Software Development Engineer (SDE) Intern

Jan 2026 – June 2026

Rama Motor-CFE

  • Spearheaded the end-to-end technical architecture of "ReDrive" (full-stack vehicle marketplace) as the sole developer using FastAPI and PostgreSQL on Linux.
  • Designed an AI Virtual Assistant using Python and GenAI embeddings, reducing customer query resolution time by 60%.
  • Architected production-ready backend systems on Linux achieving 99.9% uptime at 200+ concurrent requests.
  • Bridged backend engineering and cloud deployment by establishing CI/CD workflows and documenting AWS architecture.

Featured Projects

Some of the things I've built recently.

StateScout

PythonLangGraphLangChainAgentic RAGpgvectorFastAPIDocker

Engineered an autonomous 4-agent research platform that cuts complex research time by 70%. Designed an advanced RAG pipeline with Markdown-header splitting and real-time SSE streaming to a React frontend with sub-200ms latency.

DocumentDoc

PythonFastAPIRAGChromaDBLiteLLMReact

Built a production-grade full-stack RAG application supporting PDF, DOCX, and TXT ingestion. Engineered a hybrid retrieval pipeline with LLM-powered query rewriting and dual-query ensemble retrieval, improving top-K passage relevance by 25%.

Skills & Education

Languages

PythonJavaScriptTypeScript

AI/LLM

LangChainLangGraphQLoRALiteLLMTransformersRAGASDeepEval

Databases / Vector Stores

ChromaDBpgvectorPostgreSQLMongoDBRedisSupabase

Backend & Frontend

FastAPIDjangoNode.jsReact.jsNext.jsTailwind CSS

DevOps

AWSDockerLinuxCI/CDNginx

Bachelor of Technology in Computer Science and Engineering

8.20 CGPA

Guru Nanak Dev University, Amritsar

2022 – 2026

Certifications

  • AI Engineer Core Track: LLM Engineering, RAG, QLoRA, AgentsUdemy
  • Google Cloud Computing FoundationsGoogle
  • Postman API Fundamentals Student ExpertPostman

Let's Build Something Great Together.

Let's Connect Over Coffee

Got a question or need some help? Drop me a message, and I'll get back to you within 2 hours. I'm here to ensure you get the support you need!

Contact Details