AI Engineer with less than a year in Generative AI, MLOps & Cloud
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Assessing your cultural and operational fit
AI/ML Engineer specializing in Generative AI, agentic pipelines, and MLOps. Proven track record of building end-to-end intelligent systems from fine-tuning neural networks to architecting scalable multi-agent LLM pipelines on AWS and GCP.
Namal University
BS Electrical Engineering
N/A – June 30, 2026
T8 Launchpad (NASTP Delta)
Trainee AI/ML & DevOps Engineer
February 1, 2026 – Present
Lahore, Punjab, Pakistan
Elevvo
NLP Intern
September 1, 2025 – October 31, 2025
India
Neural Forensics V6.0
June 25, 2026 – Present
Built an agentic forensic suite with an 8-stage automated inspection pipeline and dual-track reasoning engine to detect AI-generated, manipulated, and enhanced imagery. Implemented interactive forensic sliders for visual evidence inspection and high-confidence verdict generation with structured PDF evidence export. Deployed full-stack application with a Next.js frontend on Vercel and a FastAPI backend on Render, running entirely on free-tier infrastructure.
View ProjectTrafficGuard AI
June 25, 2026 – Present
Built an AI-driven urban crisis intelligence platform at a hackathon that detects and analyzes severe flash floods and traffic blockages in Pakistani cities. Designed and deployed a React frontend and FastAPI backend on GCP Cloud Run, enabling real-time disruption simulation and mitigation recommendations powered by Gemini.
View ProjectAuraBeat
June 25, 2026 – Present
Built an AI music curation platform that fuses real-time mood input, live weather data, and geolocation into an LLM context window for personalized soundscape recommendations via YouTube. Implemented dynamic UI aesthetic injection, BPM/energy controls, mood history sidebar, and Last.fm integration for enhanced music discovery.
View ProjectAI Study Notes Agent
June 25, 2026 – Present
Architected a multi-user cloud-native study assistant leveraging Gemini 2.5 Flash and Search Grounding APIs for real-time, context-aware document analysis. Engineered a RAG pipeline using LangChain and ChromaDB (gemini-embedding-001) for persistent semantic search and accurate citations across large textbook libraries. Integrated Supabase for OAuth 2.0 authentication and persistent chat session management, and automated Anki flashcard generation from AI-produced notes.
View ProjectASL Recognition using Deep Learning
June 25, 2026 – Present
Designed a real-time sign language recognition system using five MPU6050 sensors to capture complex hand and finger motion data with signal preprocessing and feature extraction. Implemented classification using custom LSTM and CNN architectures, and deployed the trained model on a Jetson Nano for low-latency edge inference.
Prompt Design in Vertex AI
Google Cloud
January 1, 2026 – Present
Explore Generative AI with Vertex AI API
Google Cloud
January 1, 2026 – Present
Infrastructure Modernization
Google Cloud
January 1, 2026 – Present
Engineer AI Agents with ADK
Google Cloud
January 1, 2026 – Present
Develop GenAI Apps with Gemini and Streamlit
Google Cloud
January 1, 2026 – Present
Understanding and Applying Text Embeddings
Unknown
January 1, 2025 – Present
Oracle Cloud Infrastructure AI Foundations Associate
Oracle Cloud Infrastructure
January 1, 2025 – Present
LangChain for LLM Application Development
Unknown
January 1, 2025 – Present
Getting Started with Mistral
Unknown
January 1, 2025 – Present
ChatGPT Prompt Engineering for Developers
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong passion for AI/ML, with projects ranging from forensic analysis to urban crisis intelligence and music curation. This diversity indicates a broad interest and ability to apply AI in various domains, which aligns well with an innovative and dynamic work culture. Their engagement in hackathons and continuous learning through certifications suggests a growth mindset and a collaborative spirit. The current role as a 'Trainee AI/ML & DevOps Engineer' indicates a willingness to learn and contribute across different technical areas, which is a positive cultural indicator. However, the lack of explicit team-based project descriptions or leadership roles makes it difficult to fully assess their collaborative and leadership potential for a senior position.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive learning attitude, evidenced by numerous personal projects and certifications. Their ability to work on diverse projects, including hackathons, suggests adaptability and problem-solving skills. The experience in deploying full-stack applications on free-tier infrastructure indicates resourcefulness and an understanding of practical constraints. However, with limited professional experience, the operational fit in a senior role would need further validation regarding leadership, mentorship, and handling complex enterprise-level challenges.