Faiz Khan

AI & Backend Developer

Computer Engineering student at TSEC building production-grade RAG systems, and scalable backend services. Skilled in Python, C/C++, and Go, with a focus on performance, reliability, and clean architecture.

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OS: Backend & AI Engineering
Kernel: RAG Systems · AIML Infrastructure
Uptime: ~2 years active development
Shell: Python, Go, C/C++
Current Task: Scaling RAG pipelines and low-latency trading systems
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View ProjectsContact Me

01. System Status

3rd-year Computer Engineering student specializing in AI/ML and backend systems. I build applied solutions across RAG, audio intelligence, and automated trading.

Winner of DOC.AI and Codeissance 2025. Experienced in vector databases, distributed system design, and cloud optimization.

Python / AI (PyTorch, FAISS)
Backend (FastAPI, Golang)
Databases (SQL, NoSQL, Vector)
C/C++ System Programming

02. Tech Stack

Languages

PythonCC++SQL

Backend & Frameworks

FastAPIFlaskReactStreamlitn8nAWS (Basics)

Data & ML

NumPypandasscikit-learnAWS BedrockMatplotlib

Databases

PostgreSQLMongoDBMySQLRedisFAISS (Vector DB)SQLite

03. Deployed Protocols

LenDen AI Chatbot

Python, FAISS, AWS Bedrock, FastAPI

  • RAG-enhanced chatbot with 90% query resolution accuracy.
  • Optimized embedding caching for 50% faster responses.
  • Supports CSV-based bulk testing & streaming responses.
> GitHub_Repo

Goodwill Copy Trader

FastAPI, Python, Excel, GWCIndia API

  • Automated trade replication system for real-time order mirroring.
  • 100% order synchronization across multiple accounts.
  • Secure token exchange & Excel-based configuration.
> GitHub_Repo

n8n Audio Processing

n8n, Flask API, FFmpeg, Docker

  • Workflow for automated audio pitch & tempo modification.
  • Uses n8n to orchestrate uploads, API calls, and response handling.
  • Audio processed via custom Flask-FFmpeg.
  • Triggers using new file upload in Drive.
> GitHub_Repo

04. Milestones

2025

1st Place - Codeissance Hackathon

Built "Voice-based Depression Detection System". Agentic AI system using acoustic/linguistic analysis.

2024

1st Place - DOC.AI Hackathon

48-hour hackathon. Built an AI document assistant using RAG, FAISS, and Llama 3.

2024

Certifications

CS50SQL (Harvard University) • Python in Data Science (IIT Madras NPTEL) • SQL Certified (HackerRank)

2023 - 2027

B.E in Computer Science

Thadomal Shahani Engineering College (CGPA: 8.25)

05. Establish Connection

Currently open for internships and collaborative projects involving RAG, Backend Systems, or Algo Trading.

khanfaizmominshama@google.comGitHubLinkedIn