AI Engineer with 1+ years in Python, Machine Learning & Full-Stack Development
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Assessing your cultural and operational fit
Highly motivated Python Backend & AI/ML Engineer with 1.3 years of experience in developing and deploying AI-powered solutions, backend services, and full-stack applications. Proven ability to integrate complex systems with ERPs, optimize API performance, and lead projects from concept to delivery. Skilled in Python, FastAPI, Django, Flutter, AWS, and various AI/ML frameworks, with a strong background in building scalable and efficient software.
FAST NUCES Lahore
BS · Computer Science
August 1, 2022 – June 30, 2026
Government College and University
Higher Secondary School Certificate · FSC Pre-Engineering
June 1, 2020 – May 31, 2022
Luminogics
Python Backend & AI/ML Engineer
June 1, 2025 – Present
Lahore, Punjab, Pakistan
Hisdu
Software Engineer Intern
March 1, 2025 – May 31, 2025
Ghāziābād, Uttar Pradesh, India
Studently
June 25, 2026 – Present
Developed a cross-platform university platform combining social networking and a knowledge hub using Flutter and a FastAPI backend. Implemented secure university-only authentication with Firebase Auth, integrated Firebase Analytics, and designed scalable REST APIs for messaging, academic resources, posts, events, and course-based channels.
Inventory Management System
June 25, 2026 – Present
Built a backend-driven inventory system for a distribution business with stock tracking, transactional consistency, and data integrity handling.
n8n Automation Workflow
June 25, 2026 – Present
Designed and implemented an automated order-processing workflow using n8n, integrating an MCP server for structured request handling and backend communication.
MindPulse (AI Well-being Platform)
June 25, 2026 – Present
AI-based student well-being platform with a Flutter mobile app, FastAPI backend, and GPT-40-mini powered chatbot for real-time emotional support. Built NLP-based behavioral tracking to detect academic stress with threshold-based risk categorization. Analytics dashboard with RBAC using React and PostgreSQL, deployed on AWS EC2. (Ongoing)
Sentiment Analysis System
June 25, 2026 – Present
Developed a professional sentiment analyzer including preprocessing, tokenization, fine-tuning, evaluation, and comparative performance analysis.
Deep Learning & NLP Projects
June 25, 2026 – Present
Developed Neural Networks, CNNs, and Transformer-based architectures for classification and natural language processing tasks.
Compiler & Systems Projects
June 25, 2026 – Present
Developed a C++-like language using Flex (lexer), Bison (parser), and LLVM IR backend; implemented parallelized algorithms using OpenMP and pthreads.
C++ & Unity Projects
June 25, 2026 – Present
Built interactive systems including Tetris (SFML), Minesweeper, Candy Crush clone, and a 3D Unity pinball engine with physics and scoring mechanics.
Cultural Fit Analysis
The candidate's portfolio showcases a blend of academic rigor (compiler projects, C++ systems) and practical application (AI/ML, full-stack apps). The personal projects, especially 'MindPulse', indicate a passion for technology and a drive to create innovative solutions, which aligns well with a dynamic, growth-oriented culture. The experience in both internship and full-time roles, coupled with diverse project types, suggests a well-rounded individual capable of contributing to various team environments. The focus on efficiency and measurable results (e.g., cost reduction, processing speed improvement) indicates a results-driven mindset.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience highlight a proactive approach to problem-solving and a focus on tangible business outcomes (e.g., 80% reduction in manual entry, 66% API cost reduction). The diversity of projects, from full-stack applications to deep learning, suggests adaptability and a strong learning aptitude. The ongoing 'MindPulse' project indicates initiative and a commitment to developing impactful AI solutions. The candidate's experience with real-time systems (SSE, async FastAPI) demonstrates an understanding of performance-critical applications.