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FAST NUCES · Faisalabad · Pakistan

Ahmad

CS Student  ·  Backend Engineer  ·  AI Builder  ·  Systems Thinker

"I don't chase trends. I build systems."

25+
Projects Deployed
Hackathon Winner
50+
DSA Problems Solved
1+
Year Experinece
Top 10
IIT Kanpur TechFest
01 //

The Engineer Behind the Code

Profile — Active · BSCS '27
Identity
Full Stack Developer at GAOTek Inc., SDE mentee at Dev Weekends, and CS student at FAST NUCES '27. Built and shipped 25+ projects spanning backend APIs, AI systems, and data engineering pipelines. Placed in the Top 3 at two national hackathons and Top 10 at IIT Kanpur TechFest. Specializes in backend architecture, ETL pipelines, and production-grade AI applications.
Core Disciplines
Backend Engineering — Flask, FastAPI, Node.js, Express
AI Development — Gemini API, NLP, ML pipelines
Data Engineering — ETL/ELT, PySpark, Pandas
Systems Programming — C++, OOP, DSA, OS concepts
Database Design — MySQL, MongoDB, PL/SQL
Current Operations
Full Stack Dev @ GAOTek Inc. — Active
Freelance Dev @ Fiverr — Active
SDE Mentee @ Dev Weekends — Active

Previously: Softsincs · MKA AI · Elevvo Pathways · Oasis Infobyte · Codveda · CodeAlpha
Education & Certifications
FAST NUCES — BSCS '27 · Faisalabad
Punjab Group of Colleges — FSc Pre-Engineering

Certified: SQL Full Course · NumPy · Data Analysis with Python · Python for Beginners · Build with AI (Hackathon)
02 //

Combat Capabilities — Depth Map

Python
OOPFile HandlingAutomationAPI IntegrationData ProcessingAI Development
C++
PointersDMAOOPDSAFile HandlingLow-level Memory
Backend Engineering
FlaskFastAPINode.jsExpressREST APIsJWT Auth
AI / ML Engineering
Gemini APINLPScikit-learnSpeechRecLexRankModel Eval
Data Engineering / ETL
PySparkPandasNumPyETL PipelinesEDAFeature Eng.
Databases & Storage
MySQLMongoDBPL/SQLSchema DesignOptimization
Frontend
HTML5CSS3JavaScriptResponsive DesignREST Integration
Systems & OS Concepts
Memory MgmtOS InternalsProcess ControlArchitectureLinux
03 //

System Architecture

AI Note Generator
Student AI Assistant
Carbon Tracker
Tony AI
Layer 01 — Ingestion
Data Input Layer
Audio file upload via Flask REST API · Werkzeug file handler · UUID-based storage
Layer 02 — Extract
Speech-to-Text Engine
SpeechRecognition library · Audio segmentation via Pydub · Raw transcript output
Layer 03 — Transform
AI Processing Pipeline
LexRank summarization (Sumy + NLTK) · Flashcard generation · Gemini 2.5 Flash translation to Urdu
Layer 04 — AI Inference
Gemini API Layer
Google GenAI integration · Multilingual output · Context-aware translation
Layer 05 — Load / Output
Output Delivery System
pyttsx3 TTS (offline) · gTTS fallback · Structured JSON response · Flask-CORS delivery
Layer 01 — Interface
Voice + Text Input
Speech recognition for hands-free input · Text query interface · Session state management
Layer 02 — Intelligence
Adaptive Q&A Engine
Context-aware response system · User history tracking · Academic domain focus
Layer 02 — Planning
Study Planner Module
AI-generated task breakdowns · Deadline reminders · Learning roadmaps
Layer 03 — Research
Document Summarizer
Topic extraction · Long-form content summarization · Quick insight generation · Source ranking
Layer 04 — Output
Response Delivery
Flask REST API · Minimalist frontend UI · TTS audio output · Session persistence
Layer 01 — Collection
User Activity Input
Activity form submission · Transport/energy/food categories · Flask REST endpoint
Layer 02 — Processing
Emission Calculator
Carbon coefficient formulas · Category-weighted scoring · Python computation engine
Layer 02 — AI
OpenAI Insight Engine
Personalized sustainability tips · GPT-powered recommendations · Real-time analysis
Layer 03 — Storage
MongoDB Data Layer
User history persistence · Time-series carbon data · Aggregation for trend analysis
Layer 04 — Visualization
Dashboard Output
Real-time carbon score · Trend charts · Comparison metrics · Actionable insights panel
Input Module
Voice Command Interface
speech_recognition library · Continuous listening loop · Command parsing via NLP
State Module
Core OOP Engine
Python classes for each feature · JSON config persistence · datetime scheduling
Feature — Weather
pyowm API Layer
Real-time weather fetch · Location parsing · Alert threshold logic
Feature — Lang
Translation Engine
googletrans integration · Multi-language routing · Fallback handling
Feature — Schedule
Alarm & Reminder
datetime + threading · Persistent JSON store · TTS trigger on fire
Output Module
pyttsx3 TTS Engine
Offline text-to-speech · Voice rate/volume control · Cross-platform compatible
04 //

Deployed Systems

▶ ETL Pipeline · Gemini API · Hackathon
AI Note Generator
Full ETL pipeline for lecture audio. Transcribes speech, generates AI summaries via LexRank, creates Q&A flashcards, translates to Urdu via Gemini 2.5 Flash, delivers spoken audio output.
FlaskGemini APISpeechRecNLTKpyttsx3

▶ AI Assistant · 2× Hackathon Featured
Student AI Assistant 2.0
Adaptive academic companion with contextual Q&A, study planner, research summarizer, and voice interaction. Featured at GDG DevFest AmplifAI 2025 and VIDE-E-THON 24-hour hackathon.
FlaskAI/NLPVoice UIPython

▶ Cloud IDE · AI-Assisted Coding
AI Cloud IDE 1.0
Browser-based cloud IDE with integrated AI code analysis, intelligent suggestions, and backend execution engine. No local environment setup required.
FlaskJavaScriptREST APIAI Engine

▶ Voice AI · IIT Kanpur Top 10
Tony AI 1.0
Voice-controlled personal assistant with alarms, reminders, real-time weather, multi-language translation, and TTS. Presented at IIT Kanpur TechFest, ranked Top 10 nationally.
Python OOPpyttsx3pyowmSpeechRec

▶ EdTech · 3rd Place Winner
Derives Manager
Real-time math expression solver with step-by-step derivative explanations, voice input, and high-precision computation. Won 3rd place at American Education International hackathon.
PythonSpeechRecpyttsx3Math Engine
▶ AI · Data Science · $100 Prize
Carbon Emission Tracker
AI-powered carbon footprint tracker with real-time insights, MongoDB time-series storage, and OpenAI-driven sustainability recommendations. Won $100 at Bay2BayHacks 2025.
OpenAIFlaskMongoDBPython
05 //

Training Log

50+
Problems Solved
30
DSA Grind Sessions
12
Engineering Weekends
Arrays & Strings
Advanced
Linked Lists
Proficient
Trees & Graphs
In Progress
Dynamic Programming
Grinding
Recursion
Proficient
Sorting & Search
Advanced
System Design
Developing
OOP Patterns
Advanced
06 //

Research & Experiments

Memory Systems
Dynamic Memory Allocation Study
Deep-dive into heap vs stack allocation in C++. Implemented custom memory pools, tested fragmentation patterns, and documented performance differences with manual deallocation.
Backend Performance
Flask vs FastAPI Benchmark
Compared request throughput, latency, and async performance between Flask and FastAPI under simulated load. Documented routing overhead and middleware cost differences.
ETL Optimization
Pipeline Throughput Analysis
Tested batch vs streaming ETL for audio processing workloads. Measured Pydub segmentation cost vs. direct chunking and optimized the AI Note Generator pipeline by 40%.
OS Concepts
Process Scheduling Simulation
Implemented FCFS, SJF, and Round-Robin scheduling algorithms in Python. Visualized Gantt charts and measured average waiting time across algorithm variants.
Data Science
Pokec Social Network Analysis
Graph-based analysis of large-scale social network dataset. Applied degree centrality, community detection, and visualized connection density patterns using NetworkX and Matplotlib.
API Engineering
Offline Translation API
Built a locally-hosted REST API for real-time text translation with no internet dependency. Benchmarked offline model latency vs cloud API and optimized for low-resource environments.
07 //

Field Operations

I
IIT Kanpur TechFest — Top 10 National Rank
Represented FAST NUCES. Presented Tony AI live to judges in a competitive national-level hackathon.
II
Bay2BayHacks 2025 — $100 Prize Winner
Carbon Emission Tracker recognized for AI application in sustainability tech. Built with OpenAI + Flask + MongoDB.
III
American Education International — 3rd Place
Derives Manager awarded for EdTech innovation, high usability, and intelligent mathematical computation.
IV
GDG DevFest AmplifAI 2025 — Featured Project
Student AI Assistant 2.0 presented at Google Developer Group Cloud Lahore after completing Build with AI workshops.
V
VIDE-E-THON Hackathon — 24-Hour Build
Built and demonstrated Student AI Assistant 2.0 at VibeCode's innovation marathon under extreme time constraints.
VI
Dev Weekends SDE Mentorship — Selected
Chosen for 4-month structured program: 30 DSA sessions, 12 engineering weekends, portfolio projects, and mock interviews.
08 //

Engineering Philosophy

01
Build systems, not scripts.
Scripts solve today's problem. Systems solve tomorrow's problems before they occur. Design for scalability from line one.
02
Understand memory, not just syntax.
Code that runs is not code that's right. Know what happens at the pointer level. Know where your data lives and dies.
03
Optimize before scaling.
More infrastructure solves nothing if the logic is broken. Measure first. Optimize the bottleneck. Then scale.
04
Simplicity is strength.
Complexity is not sophistication. The simplest solution that correctly solves the problem is the superior solution.
05
Train in silence, deploy with precision.
Consistent, disciplined preparation. No shortcuts in learning. No half-finished work in production.
06
Architecture is the first line of code.
How you structure the solution determines everything after it. Think in layers. Think in contracts. Think before typing.
09 //

Currently Mastering

Active Training
Advanced C++ Memory Management
Smart pointers, RAII patterns, move semantics, memory leak detection, and custom allocator design.
Active Training
Operating Systems Internals
Process scheduling, virtual memory, file systems, concurrency primitives, and kernel-level operations.
Active Training
AI Model Deployment
Model serving with FastAPI, containerization with Docker, inference optimization, and production monitoring.
Active Training
Backend Scalability Patterns
Load balancing, caching strategies, database sharding, message queues, and microservice decomposition.
Active Training
Data Science & Engineering
Advanced PySpark, feature engineering, ML pipelines, model evaluation, and large-scale data workflows.
Dev Weekends Program
System Design & DSA Patterns
30 DSA grind sessions, 12 engineering weekends, interview-level problem solving under mentor guidance.
10 //

5-Year Vision

2025
Mastering backend fundamentals, AI integration, and ETL engineering. Building production-grade systems through freelance, internships, and hackathons.
2026
Deep specialization in systems-level engineering, scalable backend architecture, and applied AI deployment at scale.
2027
Graduate from FAST NUCES. Transition into a full-time backend / AI engineering role. Contribute to high-impact production systems.
2028
Lead architecture decisions on large-scale infrastructure. Build AI systems that serve millions of users. Contribute to open-source.
2029
Work on advanced backend systems and AI infrastructure. Pioneer intelligent automation pipelines that drive real-world impact.
Discipline builds power.
Systems create impact.
— Ahmad · FAST NUCES '27
11 //

Secure Channel

@
Encrypted Mail
ahmadleo498@gmail.com
in
Intelligence Network
linkedin.com/in/ahmad0763
gh
Open Source Arsenal
github.com/ck-ahmad
Live Portfolio
ahmadleo-tech.github.io