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AI Engineer with less than a year in RAG, Automation & Full Stack Development.
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Assessing your cultural and operational fit
Highly motivated and results-driven AI Engineer with a strong foundation in Artificial Intelligence, Machine Learning, and Full Stack Development. Proven ability to rapidly prototype and launch innovative solutions, as demonstrated by the development of Pakistan's first WebAR restaurant menu platform. Skilled in leveraging AI/ML, automation tools, and diverse programming languages to create efficient and impactful software. Eager to apply technical expertise and a product-focused mindset to challenging engineering roles.
FAST-NUCES
Bachelor of Science · Computer Science
August 1, 2023 – Present
System Heuristics
Campus Ambassador
January 1, 2026 – Present
India
National Incubation Center Lahore (NICL)
Campus Ambassador
January 1, 2026 – Present
India
Menuva
Founder and Solo Developer
January 1, 2026 – Present
India
Threads Lead-Generation & Outreach Pipeline
January 1, 2026 – Present
Built an automated daily scraper using Playwright and headless Chromium to query Threads for web development, automation, and AI client leads, then parse and clean raw results with BeautifulSoup4. Designed a rule-based lead-scoring engine that classifies prospects into hot, warm, and discard tiers (and flags competing sellers), writing structured output to Google Sheets via API for downstream outreach. Scheduled the pipeline via GitHub Actions to run daily at 11:00 AM with automated email run-reports, including execution time tracking to monitor and optimize free-tier compute usage. Currently extending the system with an LLM-based reply generator for hot leads, pending pipeline efficiency validation against collected data.
RAG Codebase Assistant
January 1, 2026 – Present
Built retrieval-augmented generation (RAG) pipeline from scratch, including ingestion, chunking, embedding, and retrieval. Indexed and queried code chunks using vector search with ChromaDB. Enabled multi-turn contextual querying, improving response relevance by approximately 30%.
Talent AI - AI-Powered Job Matching Platform
January 1, 2026 – Present
Team project: building a dual-sided job matching platform that uses AI to auto-extract context from resumes and job listings, then ranks matches with a relevance score for both job seekers and recruiters.
Threads Auto-Posting Bot
January 1, 2026 – Present
Developed a Telegram-driven content bot that ingests informal startup progress updates and generates curated, platform-optimized posts for Threads using an LLM via OpenRouter. Integrated the Zernio API to publish generated content to Threads automatically, removing manual posting from the workflow. Deployed the service on Render for continuous 24/7 availability, with Telegram as the conversational interface for on-the-go content submission.
E-Commerce Automation Pipeline
January 1, 2025 – December 31, 2025
Developed end-to-end automation pipeline covering inquiry, order processing, invoicing, and follow-ups. Built AI chatbot handling 100+ simulated customer queries per day with real-time inventory checks. Implemented abandoned-chat recovery workflows, increasing potential conversion rates by 20-25%.
Prompt Injection Detection System
January 1, 2025 – December 31, 2025
Trained and benchmarked 5 machine learning models, achieving 90.5% accuracy and 0.96+ AUC on a 10K+ sample dataset. Built custom NLP preprocessing pipeline including tokenization, lemmatization, and filtering. Deployed real-time Streamlit application with ensemble voting, reducing misclassification rate by approximately 12%.
Cultural Fit Analysis
The candidate's portfolio showcases a strong drive for innovation and a passion for applying AI to real-world problems, aligning well with a dynamic, tech-forward culture. Their involvement in startup incubation and ambassador roles suggests a collaborative and community-oriented mindset. The breadth of projects, from lead generation to e-commerce automation and job matching, indicates versatility and a willingness to tackle diverse challenges. However, the lack of traditional team-based professional experience might require some adjustment to a structured corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through their diverse personal projects. Their experience as a founder and solo developer suggests a high degree of autonomy and responsibility. The campus ambassador roles indicate good interpersonal and communication skills, which are beneficial for team collaboration and stakeholder engagement. The focus on AI-assisted development suggests an adaptive and efficient approach to software engineering.