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Generative AI Engineer with 1+ years in LLMs & Deep Learning
A Computer Scientist and AI enthusiast with a passion for Generative AI. I have solid background in developing Generative AI models and systems. With expertise in Generative AI framework like LangChain and LangGraph, I specialize in creating innovative solutions for LLMs, ChatBots, Agents and Multi Agents system. My experience includes working with various neural network architectures, such as CNNs, RNNS, GANS, YOLO, Encoders-Decoders, Vision Transformers (ViT), Transformers, RAG, Agents, Multi-Agents and fine-tuning techniques to optimize model performance. I am a continuous learner, always exploring the latest AI, ML, CV and NLP advancements.
NUCES FAST Islamabad
BS · Computer Science
August 1, 2020 – June 30, 2024
Funavry Technologies (ChainGPT)
Generative AI Engineer
March 1, 2025 – Present
India
Cognilium.ai
Generative AI & ML Engineer
November 1, 2024 – March 1, 2025
India
Top Edge Technologies
AI & ML Engineer
July 1, 2024 – October 1, 2024
India
Human Face Generation (DCGANs)
June 1, 2026 – Present
Generated synthetic faces using DCGANs to explore generative models.
Wear and Tear Analysis (YOLOv8)
June 1, 2026 – Present
Developed a YOLOv8-based model for machinery and automobile wear and tear detection.
Uber Demand Prediction
June 1, 2026 – Present
Built a machine learning model to predict Uber demand and supply.
Image Classification (ViT)
June 1, 2026 – Present
Fine-tuned a 86 Million Parameters Vision Transformers (ViT) for custom image classification.
Face Detection (MTCNN)
June 1, 2026 – Present
Created a face detection system using MTCNN for multi-angle facial recognition.
Ham vs. Spam Classification
June 1, 2026 – Present
Built a spam detection model to classify messages using machine learning.
Netflix Movies and prediction
June 1, 2026 – Present
Investigating Netflix Movies and prediction on the basis of region and genre (a project of Data Camp).
Certified AWS Microservices and CI/CD Pipeline Builder
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from human face generation to crypto time-series forecasting and smart contract auditing, indicates a broad interest and adaptability, which aligns well with innovative and fast-paced environments. The experience in both personal projects and professional roles (Funavry Technologies, Cognilium.ai, Top Edge Technologies) demonstrates a strong commitment to the Generative AI field. The target role of 'Generative AI Engineer' is a direct match for the candidate's recent professional experience and stated passion. The breadth of skills, including LLMs, AWS, GCP, Docker, and various ML/DL frameworks, suggests a versatile individual capable of contributing to diverse technical challenges.
Soft Skills & Operational Fit
The candidate's resume highlights 'Can-do attitude', 'learning aptitude', 'adaptability', 'critical thinking', and 'communication skills'. These traits suggest a good operational fit for dynamic AI development environments. The diverse project portfolio and continuous learning approach indicate a proactive and problem-solving mindset, which is crucial for a senior role. However, without specific assessment data on these soft skills, this remains an inference from the provided text.