Software Engineer · AI Systems

Hi, I’m Annas.

Building intelligent systems. Engineering them for production.

AI Engineer at BIK GmbH

I design and build scalable backend systems, distributed architectures and AI-powered software, from system design to production deployment.

  • Backend Engineering
  • Distributed Systems
  • AI Infrastructure

I build LLM platforms that make it past the demo.

Tenant isolation, encryption, grounded retrieval and evaluation, from the first prototype to production.

Multi-agent systems

Orchestrated agents for retrieval, research and automation, with A2A and MCP.

Knowledge graphs and RAG

Neo4j graphs, semantic chunking and hybrid retrieval that ground every answer.

Secure LLM platforms

Per-client isolation, database-level encryption, migrations and Docker deployments.

Selected work

AI systems

Products and systems I built, from live translation to agents over millions of rows.

More experiments

Four roles in production AI

  1. Nuremberg

    AI Engineer, BIK GmbH

    • Architected multi-tenant isolation for an enterprise AI knowledge platform on Azure: 10+ data domains split into per-client databases, with versioned schema migrations across every tenant.
    • Designed database-level envelope encryption at rest, with key-rotation tooling and a phased production rollout.
    • Built multi-agent orchestration for retrieval and question answering, grounded in a Neo4j knowledge graph with entity resolution and graph-aware semantic chunking.
    • Owned Docker deployments, per-tenant LLM cost tracking and GDPR deletion across every store; 30+ merged PRs.
    • Multi-agent
    • FastAPI
    • PGVector
    • Neo4j
    • Azure
    • Docker
  2. Islamabad

    AI/ML Developer, Stixor

    • Led the design of agentic AI for contract automation and self-editing agents.
    • Built a RAG legal chatbot with model versioning, tracing and evaluation.
    • Built FastAPI backends for Malakah, a legal AI startup that raised $600K in seed funding.
    • Cut inference latency and cost with hybrid retrieval, caching and monitoring.
    • Agentic AI
    • RAG
    • FastAPI
    • MLOps
  3. Remote

    AI Engineer, Niblon

    • Designed and deployed 10+ multi-agent and RAG systems with adaptive memory.
    • Built LLM-as-Judge and human-in-the-loop evaluators that raised accuracy by 25%.
    • Made retrieval 40% faster with quantized embeddings, adaptive chunking and hybrid ranking.
    • Researched agent-to-agent (A2A) and MCP-based reasoning for automation at scale.
    • LangGraph
    • A2A
    • MCP
    • LLM-as-Judge
  4. Remote

    Associate ML Developer, Developers Den LLC

    • Built hybrid RAG (dense FAISS plus sparse BM25) that improved answer relevance by 35%.
    • Shipped voice agents with Whisper and ElevenLabs: 10K+ conversations a month at 92% transcription accuracy.
    • Connected 50+ SaaS tools to LLM agents, cutting manual work by 60% and embedding costs by 45%.
    • FAISS
    • BM25
    • RAGAS
    • Whisper

From demo to dependable

At BIK GmbH I build the foundations of an enterprise AI knowledge platform: isolation, encryption, knowledge graphs and cost tracking for each customer.

Before that, three years shipping agentic and retrieval systems for legal tech, automation and voice. I’m also completing a Master’s in Artificial Intelligence at BTU Cottbus-Senftenberg.

2025 to now, Cottbus

M.Sc. Artificial Intelligence

BTU Cottbus-Senftenberg

2020 to 2024, Taxila

B.Sc. Computer Science

HITEC University

Certifications

Generative AI with LLMs

DeepLearning.AI and AWS; LangChain for LLM Apps

Languages

English, Urdu, German

C1, native, A2 and improving

LLM ecosystems

  • OpenAI
  • Claude
  • Gemini
  • Azure AI
  • LangChain
  • LlamaIndex
  • LangGraph
  • CrewAI

RAG engineering

  • FAISS
  • Pinecone
  • Azure Search
  • PGVector
  • semantic chunking
  • hybrid retrieval
  • re-ranking
  • caching

Agentic AI and tool use

  • reflexive reasoning
  • function calling
  • orchestration
  • A2A
  • MCP
  • n8n

Backend and data

  • Python
  • FastAPI
  • SQL
  • TypeScript
  • Next.js
  • PostgreSQL
  • Neo4j
  • Redis
  • MongoDB

MLOps and cloud

  • Docker
  • GitHub Actions
  • Azure
  • AWS
  • GCP
  • MLflow
  • W&B

Evaluation and tuning

  • LLM-as-Judge
  • RAGAS
  • Arize Phoenix
  • LoRA
  • QLoRA
  • PEFT
  • PyTorch