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Hey, I'm Nafees πŸ‘‹

Software Engineer Β· Backend & Infrastructure Β· Security Β· Agentic AI
Building things that don't break under pressure

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🧠 About Me

I'm a backend-focused software engineer who's most comfortable at the intersection of distributed systems, infrastructure, and security. I've shipped production systems across self-hosted Linux deployments and GIS applications β€” and I care deeply about the stuff that holds it all together: reliability, threat modelling, and clean architecture.

  • πŸŽ“ B.S. CS @ LUMS, Batch '26
  • πŸ”­ Currently building ContinuumAI β€” an autonomous agentic data scientist using MCP
  • 🌍 Previously contracted with National University of Singapore on a GIS flood research platform
  • πŸ›‘οΈ Interested in engineering production systems end-to-end β€” from architecture and reliability to security hardening

πŸ› οΈ Tech Stack

Languages
Python Go C++ JavaScript SQL

Backend & AI
FastAPI Node.js PyTorch Docker Kubernetes

Data & Infrastructure
PostgreSQL Redis Linux Supabase GitHub Actions


πŸš€ Featured Projects

πŸ€– ContinuumAI β€” Agentic AI Data Scientist (Senior Capstone)

Autonomous agent using Model Context Protocol (MCP) that reasons over complex datasets in real time.

  • Exposes 5+ tools to a Python inference engine for multi-step decision-making
  • Built a Parquet-to-SQL ETL pipeline + Chart Spec engine for structured data querying
  • Hardened via STRIDE threat modelling & SonarQube β€” resolved 15+ security issues

🌊 HiPer-FedKD β€” Federated Learning Framework

Novel FL framework tackling data heterogeneity in distributed edge-AI environments.

  • +16% accuracy gain via bidirectional knowledge distillation
  • Benchmarked on high-performance Linux clusters using PyTorch

πŸ—„οΈ StayOpsApp β€” High-Availability DB on Kubernetes

HA SQL Server cluster targeting 99.9% uptime on Kubernetes.

  • Persistent volumes, network policies, and YAML-driven CI deployments
  • Tuned 1M+ row database via partitioning and execution plan analysis

⚑ Fault-Tolerant KV Store with Raft (Go)

Distributed key-value store with full Raft consensus across 5 nodes.

  • Sustains strong consistency under 2 simultaneous node failures
  • Resolved 10+ race conditions; validated under adversarial network partition scenarios

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Open to backend, infrastructure, or security engineering roles β€” remote or on-site.
Let's build something reliable.

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